10 code implementations • ICLR 2018 • Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Combining parameter noise with traditional RL methods allows to combine the best of both worlds.
45 code implementations • NeurIPS 2016 • Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
We present a variety of new architectural features and training procedures that we apply to the generative adversarial networks (GANs) framework.
Ranked #14 on Conditional Image Generation on CIFAR-10 (Inception score metric)
Conditional Image Generation Semi-Supervised Image Classification
23 code implementations • 10 Mar 2017 • Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever
We explore the use of Evolution Strategies (ES), a class of black box optimization algorithms, as an alternative to popular MDP-based RL techniques such as Q-learning and Policy Gradients.
Ranked #1 on Atari Games on Atari 2600 Pong
37 code implementations • NeurIPS 2016 • Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
This paper describes InfoGAN, an information-theoretic extension to the Generative Adversarial Network that is able to learn disentangled representations in a completely unsupervised manner.
Ranked #3 on Image Generation on Stanford Cars
1 code implementation • 3 Oct 2020 • Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
Modern machine learning models (such as deep neural networks and boosting decision tree models) have become increasingly popular in financial market prediction, due to their superior capacity to extract complex non-linear patterns.
2 code implementations • 18 Jul 2023 • Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao
This work presents AnyDoor, a diffusion-based image generator with the power to teleport target objects to new scenes at user-specified locations in a harmonious way.
1 code implementation • IJCNLP 2019 • Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du
Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks.
1 code implementation • EMNLP 2018 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei zhang, Huajun Chen
A capsule is a group of neurons, whose activity vector represents the instantiation parameters of a specific type of entity.
15 code implementations • 22 Apr 2016 • Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
Recently, researchers have made significant progress combining the advances in deep learning for learning feature representations with reinforcement learning.
Ranked #1 on Continuous Control on Inverted Pendulum
7 code implementations • 19 Jan 2017 • Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma
1) We use a discretized logistic mixture likelihood on the pixels, rather than a 256-way softmax, which we find to speed up training.
Ranked #4 on Density Estimation on CIFAR-10
2 code implementations • NeurIPS 2016 • Durk P. Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, Max Welling
The framework of normalizing flows provides a general strategy for flexible variational inference of posteriors over latent variables.
Ranked #40 on Image Generation on CIFAR-10 (bits/dimension metric)
1 code implementation • 14 Sep 2022 • Xi Chen, Xiao Wang, Soravit Changpinyo, AJ Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI generates text based on visual and textual inputs, and with this interface performs many vision, language, and multimodal tasks, in many languages.
1 code implementation • 12 Oct 2023 • Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang
In this paper, we focus on editing Multimodal Large Language Models (MLLMs).
1 code implementation • 25 Feb 2024 • Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Ningyu Zhang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen
Knowledge editing for large language models can offer an efficient solution to alter a model's behavior without negatively impacting the overall performance.
8 code implementations • 15 Jun 2016 • Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, Max Welling
The framework of normalizing flows provides a general strategy for flexible variational inference of posteriors over latent variables.
2 code implementations • NAACL 2022 • Soravit Changpinyo, Doron Kukliansky, Idan Szpektor, Xi Chen, Nan Ding, Radu Soricut
Visual Question Answering (VQA) has benefited from increasingly sophisticated models, but has not enjoyed the same level of engagement in terms of data creation.
2 code implementations • 27 Nov 2023 • Shaohua Wu, Xudong Zhao, Shenling Wang, Jiangang Luo, Lingjun Li, Xi Chen, Bing Zhao, Wei Wang, Tong Yu, Rongguo Zhang, Jiahua Zhang, Chao Wang
In this work, we develop and release Yuan 2. 0, a series of large language models with parameters ranging from 2. 1 billion to 102. 6 billion.
1 code implementation • CVPR 2020 • Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi
For higher efficiency, SAT takes advantage of the inter-frame consistency and deals with each target object as a tracklet.
18 code implementations • 9 Nov 2016 • Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel
The activations of the RNN store the state of the "fast" RL algorithm on the current (previously unseen) MDP.
1 code implementation • 25 May 2022 • Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely
We are witnessing an explosion of neural implicit representations in computer vision and graphics.
2 code implementations • 25 Jan 2023 • Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbing Liu, Huajun Chen
To address this issue, we propose a new task of editing language model-based KG embeddings in this paper.
5 code implementations • NeurIPS 2019 • Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John Canny, Pieter Abbeel, Yun S. Song
Semi-supervised learning has emerged as an important paradigm in protein modeling due to the high cost of acquiring supervised protein labels, but the current literature is fragmented when it comes to datasets and standardized evaluation techniques.
3 code implementations • ICLR 2018 • Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
We develop a metalearning approach for learning hierarchically structured policies, improving sample efficiency on unseen tasks through the use of shared primitives---policies that are executed for large numbers of timesteps.
6 code implementations • ECCV 2018 • Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He
Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to capture limited number of semantic alignments which is less interpretable.
Ranked #4 on Image Retrieval on PhotoChat
3 code implementations • 14 May 2019 • Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen
A key challenge in leveraging data augmentation for neural network training is choosing an effective augmentation policy from a large search space of candidate operations.
Ranked #5 on Image Classification on SVHN
1 code implementation • CVPR 2023 • Zhenyu Wang, YaLi Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
In this paper, we formally address universal object detection, which aims to detect every scene and predict every category.
6 code implementations • ICML 2018 • Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel
Autoregressive generative models consistently achieve the best results in density estimation tasks involving high dimensional data, such as images or audio.
2 code implementations • NeurIPS 2016 • Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
While there are methods with optimality guarantees in the setting of discrete state and action spaces, these methods cannot be applied in high-dimensional deep RL scenarios.
1 code implementation • 28 Jul 2023 • Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
Our goal is to enable a single end-to-end trained model to both learn to map robot observations to actions and enjoy the benefits of large-scale pretraining on language and vision-language data from the web.
7 code implementations • ICLR 2018 • Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
We consider the problem of exploration in meta reinforcement learning.
2 code implementations • 19 Oct 2022 • Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen
This paper presents an empirical study to build relation extraction systems in low-resource settings.
4 code implementations • ICLR 2019 • Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow-based generative models are powerful exact likelihood models with efficient sampling and inference.
Ranked #14 on Image Generation on ImageNet 32x32 (bpd metric)
1 code implementation • CVPR 2022 • Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao
To make the model work with preexisting masks, we formulate a sub-task termed Interactive Mask Correction, and propose Progressive Merge as the solution.
Ranked #1 on Interactive Segmentation on GrabCut (using extra training data)
4 code implementations • ICLR 2018 • Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel
Deep neural networks excel in regimes with large amounts of data, but tend to struggle when data is scarce or when they need to adapt quickly to changes in the task.
2 code implementations • CVPR 2020 • Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang
Adaptive inference is an effective mechanism to achieve a dynamic tradeoff between accuracy and computational cost in deep networks.
1 code implementation • 13 Oct 2023 • Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut
This paper presents PaLI-3, a smaller, faster, and stronger vision language model (VLM) that compares favorably to similar models that are 10x larger.
Ranked #2 on Temporal/Casual QA on NExT-QA (using extra training data)
1 code implementation • ACL 2021 • Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Ming Xu, Yefeng Zheng
Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction.
1 code implementation • 10 May 2019 • Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
To produce a truly usable estimator, we develop a Monte Carlo integration scheme on top of autoregressive models that can efficiently handle range queries with dozens of dimensions or more.
1 code implementation • 1 Sep 2023 • Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
When integrated with powerful 2D open-world models such as ODISE and GroundingDINO, excellent results were observed on open-vocabulary instance segmentation.
3D Open-Vocabulary Instance Segmentation 3D Open-Vocabulary Object Detection +5
2 code implementations • 29 May 2023 • Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, AJ Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture.
Ranked #1 on Fine-Grained Image Recognition on OVEN
1 code implementation • 15 Jun 2020 • Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
Query optimizers rely on accurate cardinality estimates to produce good execution plans.
1 code implementation • 6 Apr 2023 • Kang Chen, Tao Han, Junchao Gong, Lei Bai, Fenghua Ling, Jing-Jia Luo, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang
We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI).
1 code implementation • NeurIPS 2023 • Zhenyu Wang, YaLi Li, Xi Chen, Hengshuang Zhao, Shengjin Wang
In this paper, we propose Uni3DETR, a unified 3D detector that addresses indoor and outdoor 3D detection within the same framework.
1 code implementation • 14 Oct 2022 • Xi Chen, Tianyu Shi, Qingpeng Zhao, Yuchen Sun, Yunfei Gao, Xiangjun Wang
It provides realistic 3D environments of variable complexity, various tasks, and multiple modes of interaction, where agents can learn to perceive 3D environments, navigate and plan, compete and cooperate in a human-like manner.
1 code implementation • ICLR 2022 • Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
Then, we build an IIW-based information bottleneck on the trade-off between accuracy and information complexity of NNs, namely PIB.
1 code implementation • 4 Aug 2022 • Adam Khakhar, Xi Chen
The dominant measure of loss in a Liquidity Position is Impermanent Loss.
1 code implementation • 22 Aug 2023 • Lixiong Qin, Mei Wang, Chao Deng, Ke Wang, Xi Chen, Jiani Hu, Weihong Deng
To address the conflicts among multiple tasks and meet the different demands of tasks, a Multi-Level Channel Attention (MLCA) module is integrated into each task-specific analysis subnet, which can adaptively select the features from optimal levels and channels to perform the desired tasks.
1 code implementation • 19 Oct 2022 • Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen
With the development of pre-trained language models, many prompt-based approaches to data-efficient knowledge graph construction have been proposed and achieved impressive performance.
1 code implementation • 30 Aug 2017 • Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Gang Su, Maciej Lewenstein
One goal is to provide a systematic introduction of TN contraction algorithms (motivations, implementations, relations, implications, etc.
Computational Physics Statistical Mechanics Strongly Correlated Electrons Applied Physics Quantum Physics
1 code implementation • 12 May 2021 • Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng
Knowledge Graph (KG) alignment is to discover the mappings (i. e., equivalent entities, relations, and others) between two KGs.
1 code implementation • NeurIPS 2020 • Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
Counterfactual learning for dealing with missing-not-at-random data (MNAR) is an intriguing topic in the recommendation literature since MNAR data are ubiquitous in modern recommender systems.
1 code implementation • 24 Mar 2023 • Ye Mao, Lan Jiang, Xi Chen, Chao Li
Moreover, DisC-Diff leverages a disentangled multi-stream network to fully exploit complementary information from multi-contrast MRI, improving model interpretation under multiple conditions of multi-contrast inputs.
3 code implementations • NeurIPS 2017 • Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
In this work, we describe a surprising finding: a simple generalization of the classic count-based approach can reach near state-of-the-art performance on various high-dimensional and/or continuous deep RL benchmarks.
Ranked #1 on Atari Games on Atari 2600 Freeway
1 code implementation • COLING 2020 • Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng
Embedding-based entity alignment has been widely investigated in recent years, but most proposed methods still rely on an ideal supervised learning setting with a large number of unbiased seed mappings for training and validation, which significantly limits their usage.
1 code implementation • 16 Jun 2021 • Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng
Knowledge Graph (KG) alignment aims at finding equivalent entities and relations (i. e., mappings) between two KGs.
1 code implementation • 29 Oct 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao liu, Dejing Dou
To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.
1 code implementation • NeurIPS 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao liu, Dejing Dou
To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.
1 code implementation • 30 Mar 2018 • Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen
Slot filling is a critical task in natural language understanding (NLU) for dialog systems.
1 code implementation • 15 May 2023 • Xiang Chen, Ningyu Zhang, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Xi Chen, Yongheng Wang, Huajun Chen
Multimodal Knowledge Graph Construction (MKGC) involves creating structured representations of entities and relations using multiple modalities, such as text and images.
1 code implementation • 3 Oct 2023 • Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen
This paper pioneers the investigation into the potential pitfalls associated with knowledge editing for LLMs.
3 code implementations • 12 Oct 2017 • Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel
Imitation learning is a powerful paradigm for robot skill acquisition.
1 code implementation • 27 Jan 2021 • Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu
Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in machine intelligence.
1 code implementation • Findings (ACL) 2021 • Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng
Semantic embedding has been widely investigated for aligning knowledge graph (KG) entities.
1 code implementation • 15 May 2023 • Hongbin Ye, Honghao Gui, Xin Xu, Xi Chen, Huajun Chen, Ningyu Zhang
This necessitates a system that can handle evolving schema automatically to extract information for KGC.
1 code implementation • 3 Feb 2022 • Guojun Zhang, Saber Malekmohammadi, Xi Chen, YaoLiang Yu
With the increasingly broad deployment of federated learning (FL) systems in the real world, it is critical but challenging to ensure fairness in FL, i. e. reasonably satisfactory performances for each of the numerous diverse clients.
1 code implementation • 10 Mar 2022 • Nan Ding, Xi Chen, Tomer Levinboim, Beer Changpinyo, Radu Soricut
With the increasing abundance of pretrained models in recent years, the problem of selecting the best pretrained checkpoint for a particular downstream classification task has been gaining increased attention.
Ranked #5 on Transferability on classification benchmark
1 code implementation • 20 Jun 2022 • Artur Back de Luca, Guojun Zhang, Xi Chen, YaoLiang Yu
Federated Learning (FL) is a prominent framework that enables training a centralized model while securing user privacy by fusing local, decentralized models.
1 code implementation • 18 Aug 2023 • Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
In this work, we reveal the profound connection between layer normalization and the label shift problem in federated learning.
1 code implementation • ICCV 2023 • Sobhan Hemati, Guojun Zhang, Amir Estiri, Xi Chen
We validate the OOD generalization ability of proposed methods in different scenarios, including transferability, severe correlation shift, label shift and diversity shift.
1 code implementation • NeurIPS 2023 • Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
What we possess are numerous isolated filed-specific datasets, thus, it is appealing to jointly train models across the aggregation of datasets to enhance data volume and diversity.
1 code implementation • 19 Jan 2020 • Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jimenez-Ruiz, Erik B. Myklebus
The usefulness and usability of knowledge bases (KBs) is often limited by quality issues.
1 code implementation • 13 Feb 2017 • Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
In 2016, Kaggle organized a competition to estimate the volume of LV from MRI images.
1 code implementation • 11 Apr 2019 • Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas, José D. Martín-Guerrero, Xi Chen, Lucas Lamata, Román Orús, Enrique Solano, Mikel Sanz
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates.
Quantum Physics Mesoscale and Nanoscale Physics
1 code implementation • 27 Feb 2021 • Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
Current deep learning based disease diagnosis systems usually fall short in catastrophic forgetting, i. e., directly fine-tuning the disease diagnosis model on new tasks usually leads to abrupt decay of performance on previous tasks.
1 code implementation • 12 Sep 2022 • Soravit Changpinyo, Linting Xue, Michal Yarom, Ashish V. Thapliyal, Idan Szpektor, Julien Amelot, Xi Chen, Radu Soricut
In this paper, we propose scalable solutions to multilingual visual question answering (mVQA), on both data and modeling fronts.
1 code implementation • 16 Mar 2022 • Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang
Offline reinforcement learning methods hold the promise of learning policies from pre-collected datasets without the need to query the environment for new transitions.
2 code implementations • 12 Jan 2019 • Xi Chen, Donglian Qi, Jianxin Shen
Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed.
1 code implementation • ICML 2020 • Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
In this paper, we explore a technique, variable skipping, for accelerating range density estimation over deep autoregressive models.
1 code implementation • 31 May 2019 • Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
Recent advances in deep reinforcement learning algorithms have shown great potential and success for solving many challenging real-world problems, including Go game and robotic applications.
1 code implementation • 8 Jun 2022 • Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye
In order to address the issues and advance a benchmark dataset for various intelligent spatial design and analysis applications in the development of smart city, we introduce Residential Community Layout Planning (ReCo) Dataset, which is the first and largest open-source vector dataset related to real-world community to date.
1 code implementation • CVPR 2023 • Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Boyu Wang, Nicu Sebe
In this paper, we study the application of Test-time domain adaptation in semantic segmentation (TTDA-Seg) where both efficiency and effectiveness are crucial.
1 code implementation • NAACL 2021 • Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the sparse rewards in RL. To solve this problem, many strategies have been proposed to give proper rewards when training RL, but their rewards lack interpretability and cannot accurately estimate the distribution of state-action pairs in real dialogs.
2 code implementations • 21 Oct 2022 • Hong Xuan, Xi Chen
In the event that the gradients are not integrable to a valid loss function, we implement our proposed objectives such that they would directly operate in the gradient space instead of on the losses in the embedding space.
Ranked #8 on Cross-Modal Retrieval on Flickr30k (using extra training data)
1 code implementation • 23 Feb 2024 • Xi Chen, Zhewen Hou, Christopher A. Metzler, Arian Maleki, Shirin Jalali
We investigate both the theoretical and algorithmic aspects of likelihood-based methods for recovering a complex-valued signal from multiple sets of measurements, referred to as looks, affected by speckle (multiplicative) noise.
1 code implementation • 18 Jun 2023 • Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
Data valuation -- quantifying the contribution of individual data sources to certain predictive behaviors of a model -- is of great importance to enhancing the transparency of machine learning and designing incentive systems for data sharing.
1 code implementation • 31 Jul 2023 • Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb
Dense packing in pick-and-place systems is an important feature in many warehouse and logistics applications.
1 code implementation • 13 Aug 2019 • Xi Chen, Farhan Feroz, Michael Hobson
We show through numerical examples that this Bayesian PR (BPR) method provides a very robust, self-adapting and computationally efficient `hands-off' solution to the problem of unrepresentative priors in Bayesian inference using NS.
1 code implementation • 17 Mar 2024 • Xi Chen, Haosen Yang, Huicong Zhang, Hongxun Yao, Xiatian Zhu
Source-free unsupervised domain adaptation (SFUDA) aims to enable the utilization of a pre-trained source model in an unlabeled target domain without access to source data.
1 code implementation • 20 Jun 2022 • Mohsin Hasan, Zehao Zhang, Kaiyang Guo, Mahdi Karami, Guojun Zhang, Xi Chen, Pascal Poupart
In contrast, our method performs the aggregation on the predictive posteriors, which are typically easier to approximate owing to the low-dimensionality of the output space.
1 code implementation • 27 Aug 2023 • Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun
Simultaneously, resource consumption of a single-GPU can be diminished by up to 69%, thus enabling the multiple GPU-based training and acceleration encompassing millions of nodes and billions of edges.
1 code implementation • 7 Mar 2024 • Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen
Deep learning methods for perception are the cornerstone of many robotic systems.
no code implementations • 2 Jun 2018 • Xi Chen, Zhi-Hong Deng, Gehui Shen, Ting Huang
This paper proposes a novel framework for recurrent neural networks (RNNs) inspired by the human memory models in the field of cognitive neuroscience to enhance information processing and transmission between adjacent RNNs' units.
no code implementations • NeurIPS 2018 • Xi Chen, Yining Wang, Yuan Zhou
We further establish the matching lower bound result to show the optimality of our policy.
no code implementations • 9 Aug 2017 • Xi Chen, Yining Wang, Yu-Xiang Wang
We consider a non-stationary sequential stochastic optimization problem, in which the underlying cost functions change over time under a variation budget constraint.
no code implementations • 27 Apr 2018 • Xi Chen, Ali Ghadirzadeh, John Folkesson, Patric Jensfelt
Mobile robot navigation in complex and dynamic environments is a challenging but important problem.
no code implementations • 6 Apr 2018 • Xi Chen, Zonghang Li, Yupeng Zhang, Ruiming Long, Hongfang Yu, Xiaojiang Du, Mohsen Guizani
With the ever growing diversity of devices and applications that will be connected to 5G networks, flexible and agile service orchestration with acknowledged QoE that satisfies end-user's functional and QoS requirements is necessary.
no code implementations • 14 Feb 2018 • Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti
In this paper, we introduce a web-scale general visual search system deployed in Microsoft Bing.
no code implementations • 14 Nov 2017 • Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu
Automatic conflict detection has grown in relevance with the advent of body-worn technology, but existing metrics such as turn-taking and overlap are poor indicators of conflict in police-public interactions.
no code implementations • 5 Feb 2018 • Xi Chen, Xiao Wang, Jianhua Xuan
Considering the ambiguity caused by the occlusion among multiple moving objects, we apply an unscented Kalman filtering (UKF) technique for reliable object detection and tracking.
no code implementations • 29 Jan 2018 • Chang Shu, Xi Chen, Qiwei Xie, Hua Han
Computer vision researchers have been expecting that neural networks have spatial transformation ability to eliminate the interference caused by geometric distortion for a long time.
no code implementations • 17 Dec 2017 • Rui Gao, Xi Chen, Anton J. Kleywegt
Wasserstein distributionally robust optimization (DRO) has recently achieved empirical success for various applications in operations research and machine learning, owing partly to its regularization effect.
no code implementations • 22 Nov 2017 • William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel
We posit that a generative approach is the natural remedy for this problem, and propose a method for classification using generative models.
no code implementations • 21 Apr 2017 • John Schulman, Xi Chen, Pieter Abbeel
A partial explanation may be that $Q$-learning methods are secretly implementing policy gradient updates: we show that there is a precise equivalence between $Q$-learning and policy gradient methods in the setting of entropy-regularized reinforcement learning, that "soft" (entropy-regularized) $Q$-learning is exactly equivalent to a policy gradient method.
no code implementations • 16 Nov 2017 • Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan YAO
Recently, crowdsourcing has emerged as an effective paradigm for human-powered large scale problem solving in various domains.
no code implementations • 15 Nov 2017 • Yongliang Tang, Weiguo Gong, Xi Chen, Weihong Li
With exploiting contextual information over large image regions in an efficient way, the deep convolutional neural network has shown an impressive performance for single image super-resolution (SR).
no code implementations • 18 Sep 2017 • Xi Chen, Yining Wang
In this short note we consider a dynamic assortment planning problem under the capacitated multinomial logit (MNL) bandit model.
no code implementations • 31 Jul 2017 • Yang Jiang, Zeyang Dou, Qun Hao, Jie Cao, Kun Gao, Xi Chen
In this paper, we propose the nonlinearity generation method to speed up and stabilize the training of deep convolutional neural networks.
no code implementations • 4 Oct 2017 • Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang
First, the predictive performance of the model may be reduced when features extracted from an individual imaging modality are blindly combined into a single predictive model.
no code implementations • 25 Jul 2017 • Xi Chen, Yuanzhi Li, Jieming Mao
We study the active learning problem of top-$k$ ranking from multi-wise comparisons under the popular multinomial logit model.
no code implementations • ICML 2017 • Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou
We study the problem of selecting $K$ arms with the highest expected rewards in a stochastic $n$-armed bandit game.
no code implementations • 14 Nov 2015 • Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
We propose a novel object proposal algorithm, BING++, which inherits the virtue of good computational efficiency of BING but significantly improves its proposal localization quality.
no code implementations • 8 Nov 2016 • Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Representation learning seeks to expose certain aspects of observed data in a learned representation that's amenable to downstream tasks like classification.
no code implementations • 21 Dec 2016 • Xi Chen, Kevin Jiao, Qihang Lin
Rank aggregation based on pairwise comparisons over a set of items has a wide range of applications.
no code implementations • 27 Oct 2016 • Xi Chen, Jason D. Lee, Xin T. Tong, Yichen Zhang
Second, for high-dimensional linear regression, using a variant of the SGD algorithm, we construct a debiased estimator of each regression coefficient that is asymptotically normal.
no code implementations • 9 Sep 2016 • Ruichi Yu, Xi Chen, Vlad I. Morariu, Larry S. Davis
We investigate the reasons why context in object detection has limited utility by isolating and evaluating the predictive power of different context cues under ideal conditions in which context provided by an oracle.
no code implementations • 12 May 2016 • Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
In particular, we present a linear time algorithm for the top-$K$ problem which has a competitive ratio of $\tilde{O}(\sqrt{n})$; i. e. to solve any instance of top-$K$, our algorithm needs at most $\tilde{O}(\sqrt{n})$ times as many samples needed as the best possible algorithm for that instance (in contrast, all previous known algorithms for the top-$K$ problem have competitive ratios of $\tilde{\Omega}(n)$ or worse).
no code implementations • 11 Feb 2016 • Yangmuzi Zhang, Zhuolin Jiang, Xi Chen, Larry S. Davis
Based on the multi-scale nature of objects in images, our approach is built on top of a hierarchical segmentation.
no code implementations • 19 Feb 2015 • Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen
Our idea is to pretrain the network through the task of replicating the process of hand-designed feature extraction.
no code implementations • NeurIPS 2014 • Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael. I. Jordan
Crowdsourcing is a popular paradigm for effectively collecting labels at low cost.
no code implementations • 17 Jun 2013 • Kyunghyun Cho, Xi Chen
The gesture recognition using motion capture data and depth sensors has recently drawn more attention in vision recognition.
no code implementations • 12 Mar 2014 • Xi Chen, Qihang Lin, Dengyong Zhou
In crowd labeling, a large amount of unlabeled data instances are outsourced to a crowd of workers.
no code implementations • 26 Sep 2013 • Michael Pacer, Joseph Williams, Xi Chen, Tania Lombrozo, Thomas Griffiths
We evaluate four computational models of explanation in Bayesian networks by comparing model predictions to human judgments.
no code implementations • 27 Jun 2018 • Xi Chen, Chao Shi, Yining Wang, Yuan Zhou
One key challenge is that utilities of products are unknown to the seller and need to be learned.
no code implementations • 27 Jul 2018 • Tasio Gonzalez-Raya, Xiao-Hang Cheng, Iñigo L. Egusquiza, Xi Chen, Mikel Sanz, Enrique Solano
This reduced version is essentially a classical memristor, a resistor whose resistance depends on the history of electric signals that have crossed it, coupled to a voltage source and a capacitor.
no code implementations • 27 Jul 2018 • Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano
Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information.
no code implementations • 18 Aug 2018 • Gehui Shen, Zhi-Hong Deng, Ting Huang, Xi Chen
Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sentence representation for a variety of NLP tasks.
no code implementations • 8 Oct 2018 • Yunlun Yang, Yu Gong, Xi Chen
With the development of dialog techniques, conversational search has attracted more and more attention as it enables users to interact with the search engine in a natural and efficient manner.
no code implementations • 18 Oct 2018 • Xi Chen, Weidong Liu, Yichen Zhang
This paper proposes a computationally efficient method, which only requires an initial QR estimator on a small batch of data and then successively refines the estimator via multiple rounds of aggregations.
no code implementations • 31 Oct 2018 • Xi Chen, Yining Wang, Yuan Zhou
To this end, we develop an upper confidence bound (UCB) based policy and establish the regret bound on the order of $\widetilde O(d\sqrt{T})$, where $d$ is the dimension of the feature and $\widetilde O$ suppresses logarithmic dependence.
no code implementations • 8 Nov 2018 • Feryal Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João Messias, Shimon Whiteson
Learning from demonstration (LfD) is useful in settings where hand-coding behaviour or a reward function is impractical.
no code implementations • 8 Nov 2018 • Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Multi-objective reinforcement learning (MORL) is the generalization of standard reinforcement learning (RL) approaches to solve sequential decision making problems that consist of several, possibly conflicting, objectives.
no code implementations • 28 Nov 2018 • Xi Chen, Weidong Liu, Yichen Zhang
The key component in our method is the proposal of a computationally efficient estimator of $\Sigma^{-1} w$, where $\Sigma$ is the population Hessian matrix and $w$ is any given vector.
no code implementations • 29 Nov 2018 • Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu
In this paper, we propose a multi-round distributed linear-type (MDL) estimator for conducting inference for linear SVM.
no code implementations • 20 Dec 2018 • Xi Chen, Jin Xie, Qingcong Yuan
Here we present models of deep learning (DL) and apply them to gene expression data for the diagnosis and categorization of cancer.
no code implementations • EMNLP 2018 • Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei zhang, Hai Zhu, Huajun Chen
This paper proposes a label-free distant supervision method, which makes no use of the relation labels under this inadequate assumption, but only uses the prior knowledge derived from the KG to supervise the learning of the classifier directly and softly.
no code implementations • NeurIPS 2018 • Yining Wang, Xi Chen, Yuan Zhou
In this paper we consider the dynamic assortment selection problem under an uncapacitated multinomial-logit (MNL) model.
no code implementations • NeurIPS 2016 • Xi Chen, Yu Cheng, Bo Tang
This is the first upper bound for $RTD(C)$ that depends only on $VCD(C)$, independent of the size of the concept class $|C|$ and its~domain size $n$.
no code implementations • NeurIPS 2013 • Chong Wang, Xi Chen, Alexander J. Smola, Eric P. Xing
We demonstrate how to construct the control variate for two practical problems using stochastic gradient optimization.
no code implementations • NeurIPS 2012 • Xi Chen, Qihang Lin, Javier Pena
We develop a novel algorithm based on the regularized dual averaging (RDA) method, that can simultaneously achieve the optimal convergence rates for both convex and strongly convex loss.
no code implementations • NeurIPS 2012 • Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
Nonnegative Matrix Factorization (NMF) is a promising relaxation technique for clustering analysis.
no code implementations • NeurIPS 2010 • Han Liu, Xi Chen, Larry Wasserman, John D. Lafferty
In this paper, we propose a semiparametric method for estimating $G(x)$ that builds a tree on the $X$ space just as in CART (classification and regression trees), but at each leaf of the tree estimates a graph.
no code implementations • NeurIPS 2010 • Han Liu, Xi Chen
We propose a new nonparametric learning method based on multivariate dyadic regression trees (MDRTs).
no code implementations • NeurIPS 2009 • Han Liu, Xi Chen
This paper studies the forward greedy strategy in sparse nonparametric regression.
no code implementations • 23 Dec 2018 • Xi Chen, Caylin Hickey
In this work, we use a human demonstration approach to speed up training for learning features and use the resulting pre-trained model to replace the neural network in the deep RL Deep Q-Network (DQN), followed by human interaction to further refine the model.
no code implementations • 6 Jan 2019 • Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Moreover, we propose an efficient algorithm, scaling with the size of the subspace but not the state space, that is able to find a policy with low excess loss relative to the best policy in this class.
no code implementations • 25 Jan 2019 • Xi Chen, Mike Hobson
The estimation of unknown values of parameters (or hidden variables, control variables) that characterise a physical system often relies on the comparison of measured data with synthetic data produced by some numerical simulator of the system as the parameter values are varied.
no code implementations • 17 Feb 2019 • Sentao Miao, Xi Chen, Xiuli Chao, Jiaxi Liu, Yidong Zhang
We consider a context-based dynamic pricing problem of online products, which have low sales.
no code implementations • NAACL 2019 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei zhang, Huajun Chen
Here, the challenge is to learn accurate "few-shot" models for classes existing at the tail of the class distribution, for which little data is available.
no code implementations • 30 Apr 2019 • Xi Chen, Simon S. Du, Xin T. Tong
In this paper, using intuitions from stochastic differential equations, we provide a direct analysis for the hitting times of SGLD to the first and second order stationary points.
no code implementations • 4 May 2019 • Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou
Linear contextual bandit is an important class of sequential decision making problems with a wide range of applications to recommender systems, online advertising, healthcare, and many other machine learning related tasks.
no code implementations • NAACL 2019 • Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin
Consumers dissatisfied with the normal dispute resolution process provided by an e-commerce company{'}s customer service agents have the option of escalating their complaints by filing grievances with a government authority.
no code implementations • LREC 2016 • Carmen Banea, Xi Chen, Rada Mihalcea
Just as industrialization matured from mass production to customization and personalization, so has the Web migrated from generic content to public disclosures of one{'}s most intimately held thoughts, opinions and beliefs.
no code implementations • 13 Jun 2019 • Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
This paper studies distributed estimation and support recovery for high-dimensional linear regression model with heavy-tailed noise.
no code implementations • 12 Jul 2019 • Frank Ban, Xi Chen, Rocco A. Servedio, Sandip Sinha
In this problem, there is an unknown distribution $\cal{D}$ over $s$ unknown source strings $x^1,\dots, x^s \in \{0, 1\}^n$, and each sample is independently generated by drawing some $x^i$ from $\cal{D}$ and returning an independent trace of $x^i$.
no code implementations • 10 Aug 2019 • Xi Chen, Hongzhi Wang, Yanjie Wei, Jianzhong Li, Hong Gao
In this paper, we focus on online methods for AR-model-based time series prediction with missing values.
no code implementations • 17 Sep 2019 • Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Deep reinforcement learning (RL) has enabled training action-selection policies, end-to-end, by learning a function which maps image pixels to action outputs.
no code implementations • 22 Sep 2019 • Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao
In this work, we tackle two fundamental language-and-vision tasks: image-text matching and image captioning, and demonstrate that neural scene graph generators can learn effective visual relation features to facilitate grounding language to visual relations and subsequently improve the two end applications.
no code implementations • 9 Oct 2019 • Xi Chen, Akshay Krishnamurthy, Yining Wang
We establish both upper and lower bounds on the regret, and show that our policy is optimal up to logarithmic factor in $T$ when the assortment capacity is constant.
no code implementations • 14 Oct 2019 • Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
The Thresholding Bandit Problem (TBP) aims to find the set of arms with mean rewards greater than a given threshold.
no code implementations • 27 Oct 2019 • Zhengxuan Ling, Xinyu Tao, Yu Zhang, Xi Chen
Based on samples of a 10 city TSP, a fully convolutional network (FCN) is used to learn the mapping from a feasible region to an optimal solution.
no code implementations • NeurIPS 2019 • Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet
An adversary chooses the cost of each arm in a bounded interval, and a sequence of feedback delays \left\{ d_{t}\right\} that are unknown to the player.
no code implementations • 17 Nov 2019 • Clément L. Canonne, Xi Chen, Gautam Kamath, Amit Levi, Erik Waingarten
We give a nearly-optimal algorithm for testing uniformity of distributions supported on $\{-1, 1\}^n$, which makes $\tilde O (\sqrt{n}/\varepsilon^2)$ queries to a subcube conditional sampling oracle (Bhattacharyya and Chakraborty (2018)).
no code implementations • 11 Dec 2019 • Xi Chen, Shouyi Yin, Dandan song, Peng Ouyang, Leibo Liu, Shaojun Wei
Despite the recent successes of deep neural networks, it remains challenging to achieve high precision keyword spotting task (KWS) on resource-constrained devices.
no code implementations • 30 Dec 2019 • Xi Chen, Ye Luo, Martin Spindler
In this paper we develop a data-driven smoothing technique for high-dimensional and non-linear panel data models.
no code implementations • 25 Jan 2020 • Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang
Observed events in recommendation are consequence of the decisions made by a policy, thus they are usually selectively labeled, namely the data are Missing Not At Random (MNAR), which often causes large bias to the estimate of true outcomes risk.
no code implementations • 4 Feb 2020 • Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Often, the link status of a node pair can be queried, which can be used as additional information by the link prediction algorithm.
no code implementations • 10 Feb 2020 • Wanrong Zhu, Xi Chen, Wei Biao Wu
This approach fits in an online setting and takes full advantage of SGD: efficiency in computation and memory.
no code implementations • NeurIPS 2020 • Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael. I. Jordan
We study the fixed-support Wasserstein barycenter problem (FS-WBP), which consists in computing the Wasserstein barycenter of $m$ discrete probability measures supported on a finite metric space of size $n$.
no code implementations • 16 Mar 2020 • Yining Wang, Xi Chen, Xiangyu Chang, Dongdong Ge
In this paper, using the problem of demand function prediction in dynamic pricing as the motivating example, we study the problem of constructing accurate confidence intervals for the demand function.
no code implementations • 25 Mar 2020 • Xi Chen, Qiang Liu, Xin T. Tong
One classical canon of statistics is that large models are prone to overfitting, and model selection procedures are necessary for high dimensional data.
no code implementations • 5 Apr 2020 • Xi Chen, Jason D. Lee, He Li, Yun Yang
To abandon this eigengap assumption, we consider a new route in our analysis: instead of exactly identifying the top-$L$-dim eigenspace, we show that our estimator is able to cover the targeted top-$L$-dim population eigenspace.
no code implementations • 23 Apr 2020 • Zejin Wang, Guoqing Li, Xi Chen, Hua Han
The continuity of biological tissue between consecutive biomedical images makes it possible for the video interpolation algorithm, to recover large area defects and tears that are common in biomedical images.
no code implementations • 26 Apr 2020 • Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten
The main contribution is an algorithm for finding relevant coordinates in a $k$-junta distribution with subcube conditioning [BC18, CCKLW20].
no code implementations • 11 May 2020 • Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han
In this paper, we propose a novel non-iterative algorithm to simultaneously estimate optimal rigid transformation for serial section images, which is a key component in volume reconstruction of serial sections of biological tissue.
no code implementations • 23 May 2020 • Yixian Zhang, Jieren Chen, Boyi Liu, Yifan Yang, Haocheng Li, Xinyi Zheng, Xi Chen, Tenglong Ren, Naixue Xiong
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions.
no code implementations • 2 Jul 2020 • Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
We present a reinforcement learning based framework for human-centered collaborative systems.
no code implementations • 11 Aug 2020 • Xi Chen, Songyang Zhang, Dandan song, Peng Ouyang, Shouyi Yin
To demonstrate our proposed speech transformer with a bidirectional decoder(STBD), we conduct extensive experiments on the AISHELL-1 dataset.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 17 Aug 2020 • Wenlong Mou, Zheng Wen, Xi Chen
To avoid such undesirable dependence on the state and action space sizes, this paper proposes a new notion of eluder dimension for the policy space, which characterizes the intrinsic complexity of policy learning in an arbitrary Markov Decision Process (MDP).
no code implementations • 6 Sep 2020 • Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer disease self-diagnosis service for online users based on Electronic Healthcare Records (EHRs).
no code implementations • 4 May 2019 • Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneider, Jaime G. Carbonell
Motivated by our sales prediction problem, we propose a factor-based algorithm that is able to take time into account.
no code implementations • 17 Sep 2020 • Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet Eyre
Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels.
no code implementations • COLING 2022 • Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
Distant supervision (DS) is a strong way to expand the datasets for enhancing relation extraction (RE) models but often suffers from high label noise.
no code implementations • 27 Sep 2020 • Xi Chen, David Simchi-Levi, Yining Wang
In this paper, we consider a dynamic pricing problem over $T$ time periods with an \emph{unknown} demand function of posted price and personalized information.
no code implementations • 1 Jan 2021 • Yan Cui, Xi Chen, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao
Embedding logical knowledge information into text generation is a challenging NLP task.
no code implementations • EMNLP (Eval4NLP) 2020 • Xi Chen, Nan Ding, Tomer Levinboim, Radu Soricut
Recent advances in automatic evaluation metrics for text have shown that deep contextualized word representations, such as those generated by BERT encoders, are helpful for designing metrics that correlate well with human judgements.
no code implementations • 16 Oct 2020 • Andrii Babii, Xi Chen, Eric Ghysels, Rohit Kumar
We study the binary choice problem in a data-rich environment with asymmetric loss functions.
no code implementations • 25 Jun 2017 • Zhaokai Li, Nikesh S. Dattani, Xi Chen, Xiaomei Liu, Hengyan Wang, Richard Tanburn, Hongwei Chen, Xinhua Peng, Jiangfeng Du
In previous implementations of adiabatic quantum algorithms using spin systems, the average Hamiltonian method with Trotter's formula was conventionally adopted to generate an effective instantaneous Hamiltonian that simulates an adiabatic passage.
Quantum Physics
no code implementations • 9 Nov 2020 • Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan
The booming online e-commerce platforms demand highly accurate approaches to segment queries that carry the product requirements of consumers.
no code implementations • 9 Nov 2020 • Xiao Gong, Xi Chen, Wei Chen
Video surveillance is gaining increasing popularity to assist in railway intrusion detection in recent years.
no code implementations • 4 Sep 2018 • Xi Chen, Victor Chernozhukov, Iván Fernández-Val, Scott Kostyshak, Ye Luo
A common problem in econometrics, statistics, and machine learning is to estimate and make inference on functions that satisfy shape restrictions.
no code implementations • 22 Dec 2019 • Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbruck, Shih-Chii Liu
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called EdgeDRNN designed for portable edge computing.
no code implementations • 8 Apr 2020 • Yifu Sun, xulong Zhang, Yi Yu, Xi Chen, Wei Li
Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR).
no code implementations • 23 Sep 2020 • Xi Chen, Ken Tanizawa, Peter Winzer, Po Dong, Junho Cho, Fumio Futami, Kentaro Kato, Argishti Melikyan, Kw Kim
We demonstrate a 4, 294, 967, 296-ary quadrature amplitude modulation (QAM) based Y-00 quantum stream cipher system carrying 160-Gb/s 16-QAM signal transmitted over 320-km SSMF.
no code implementations • 5 Dec 2020 • YiFan Li, Chao Li, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen
Although successful in tumor sub-region segmentation and survival prediction, radiomics based on machine learning algorithms, is challenged by its robustness, due to the vague intermediate process and track changes.
no code implementations • 9 Dec 2020 • Junho Cho, Xi Chen, Greg Raybon, Di Che, Ellsworth Burrows, Robert Tkach
By tailoring probabilistic constellation shaping (PCS) for nonlinearity tolerance, we experimentally demonstrate up to 1. 1 dB increase in signal-to-noise ratio (SNR) and 6. 4% increase in total net data rate (NDR) compared to linear-channel-optimized PCS on a 2824-km dispersion-managed wavelength-division multiplexed (WDM) optical fiber link.
no code implementations • 17 Dec 2020 • Sirjan Kafle, Aman Gupta, Xue Xia, Ananth Sankar, Xi Chen, Di Wen, Liang Zhang
SGMM represents each video by the parameters of a Gaussian mixture model (GMM) trained for that video.
no code implementations • 5 Jan 2021 • Xi Chen, Yanjun Han, Yining Wang
{The adversarial combinatorial bandit with general non-linear reward is an important open problem in bandit literature, and it is still unclear whether there is a significant gap from the case of linear reward, stochastic bandit, or semi-bandit feedback.}
no code implementations • 3 Jul 2020 • Xi Chen, Frank Gounelas
We prove that if $X$ is a complex projective K3 surface and $g>0$, then there exist infinitely many families of curves of geometric genus $g$ on $X$ with maximal, i. e., $g$-dimensional, variation in moduli.
Algebraic Geometry 14J28, 14N35, 14G17
no code implementations • 21 Jan 2021 • Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
EMReDL showed to effectively segment the infiltrated tumor from the partially labelled region of potential infiltration.
no code implementations • 26 Jan 2021 • Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Jiazheng Wang, Liangjie Lin, Zhigang Wu, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu
A deep learning model, Refusion Long Short-Term Memory (ReLSTM), was designed to learn the mapping from the low SNR time-domain data (24 SA) to the high SNR one (128 SA).