no code implementations • NAACL (TextGraphs) 2021 • Yuejia Xiang, Yunyan Zhang, Xiaoming Shi, Bo Liu, Wandi Xu, Xi Chen
Then, a selection module is employed to choose those most relative facts in an autoregressive manner, giving a preliminary order for the retrieved facts.
no code implementations • ACL (dialdoc) 2021 • Xi Chen, Faner Lin, Yeju Zhou, Kaixin Ma, Jonathan Francis, Eric Nyberg, Alessandro Oltramari
In this paper, we describe our systems for solving the two Doc2Dial shared task: knowledge identification and response generation.
no code implementations • ECNLP (ACL) 2022 • Kristen Howell, Jian Wang, Akshay Hazare, Joseph Bradley, Chris Brew, Xi Chen, Matthew Dunn, Beth Hockey, Andrew Maurer, Dominic Widdows
We demonstrate that knowledge distillation can be used not only to reduce model size, but to simultaneously adapt a contextual language model to a specific domain.
no code implementations • SemEval (NAACL) 2022 • Xi Chen, Ali Zeynali, Chico Camargo, Fabian Flöck, Devin Gaffney, Przemyslaw Grabowicz, Scott Hale, David Jurgens, Mattia Samory
Thousands of new news articles appear daily in outlets in different languages.
no 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.
no code implementations • 26 May 2023 • Nan Zhou, Xinghui Tao, Xi Chen
We introduce CONA, a novel context-aware instruction paradigm for effective knowledge dissemination using generative pre-trained transformer (GPT) models.
no code implementations • 22 May 2023 • Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen
In this work, we explore text augmentation for ASR using large-scale pre-trained neural networks, and systematically compare those to traditional text augmentation methods.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
no code implementations • 10 May 2023 • Yuxuan Liu, Xi Chen, Pieter Abbeel
Leveraging this insight, we learn a grasp segmentation model to segment the grasped object from before and after grasp images.
no code implementations • 3 May 2023 • Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen
Existing state-of-the-art methods are often unable to capture meaningful uncertainty in challenging or ambiguous scenes, and as such can cause critical errors in high-performance applications.
no code implementations • 21 Apr 2023 • Juan Zhong, Zheng Liu, Xi Chen
The paper also highlights the challenges, trends, and current insights in Transformer-based models, addressing their hardware deployment and acceleration issues within the context of long-term autonomous driving applications.
no code implementations • 15 Apr 2023 • Xi Chen, Siwei Mai, Konstantinos Michmizos
A vast majority of spiking neural networks (SNNs) are trained based on inductive biases that are not necessarily a good fit for several critical tasks that require low-latency and power efficiency.
no code implementations • 14 Apr 2023 • Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, HengShu Zhu
To this end, in this paper, we introduce a preliminary data-driven study on the future of ChatGPT-enabled labor market from the view of Human-AI Symbiosis instead of Human-AI Confrontation.
no code implementations • 10 Apr 2023 • Pau Gallés, Xi Chen
However, for the second point, the minimum distance between the prediction and either the head or tail of the groundtruth is used.
no code implementations • 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).
no code implementations • 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.
no code implementations • 24 Mar 2023 • Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
Diffusion model has emerged as an effective technique for image synthesis by modelling complex and variable data distributions.
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.
no code implementations • 20 Mar 2023 • Xi Chen, Yau Shing Jonathan Cheung, Ser-Nam Lim, Hengshuang Zhao
We hope this could serve as a more powerful and general solution for interactive segmentation.
no code implementations • 20 Mar 2023 • Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
Open-vocabulary image segmentation is attracting increasing attention due to its critical applications in the real world.
no code implementations • 9 Mar 2023 • Tianyu Yu, Yangning Li, Jiaoyan Chen, Yinghui Li, Hai-Tao Zheng, Xi Chen, Qingbin Liu, Wenqiang Liu, Dongxiao Huang, Bei Wu, Yexin Wang
Inspired by this, we devise a knowledge-augmented, few-shot VRD framework leveraging both textual knowledge and visual relation knowledge to improve the generalization ability of few-shot VRD.
no code implementations • 24 Feb 2023 • Ruiqi Liu, Xi Chen, Zuofeng Shang
In this paper, we propose a mini-batch SGD estimator for statistical inference when the data is $\phi$-mixing.
no code implementations • 17 Feb 2023 • Xi Chen, Cassandra Marcussen
We give an algorithm for testing uniformity of distributions supported on hypergrids $[m]^n$, which makes $\tilde{O}(\text{poly}(m)\sqrt{n}/\epsilon^2)$ queries to a subcube conditional sampling oracle.
no code implementations • 17 Feb 2023 • Yangning Li, Jiaoyan Chen, Yinghui Li, Yuejia Xiang, Xi Chen, Hai-Tao Zheng
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role in knowledge engineering.
no code implementations • 16 Feb 2023 • Xi Chen, Hui Wang, Jinqiao Duan
We consider the dynamics of a receptor binding to a ligand on the cell membrane, where the receptor and ligand perform different motions and are thus modeled by stochastic differential equations with Gaussian noise or non-Gaussian noise.
no code implementations • 12 Feb 2023 • Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
Extensive experiment results on pocket-based molecular generation demonstrate that VD-Gen can generate novel 3D molecules to fill the target pocket cavity with high binding affinities, significantly outperforming previous baselines.
no code implementations • 28 Jan 2023 • Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu
Assortment optimization has received active explorations in the past few decades due to its practical importance.
no code implementations • 26 Jan 2023 • Yuxuan Lu, Qian Qi, Xi Chen
We develop a model of coordination and allocation of decentralized multi-sided markets, in which our theoretical analysis is promisingly optimizing the decentralized transaction packaging process at high-throughput blockchains or Web 3. 0 platforms.
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.
no code implementations • 30 Dec 2022 • Xi Chen, Zehua Lai, He Li, Yichen Zhang
With the fast development of big data, it has been easier than before to learn the optimal decision rule by updating the decision rule recursively and making online decisions.
no code implementations • 24 Dec 2022 • Dan Liu, Xi Chen, Chen Ma, Xue Liu
Model quantization enables the deployment of deep neural networks under resource-constrained devices.
no code implementations • 19 Dec 2022 • Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen
To evaluate our method, we manually label the dense landmarks on 300W testset.
no code implementations • 3 Dec 2022 • Xiaohui Chen, Xi Chen, LiPing Liu
We further propose a new learning model, interpretable NOde Representation with Attribute Decoding (NORAD).
no code implementations • CVPR 2023 • Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut
Recent research in robust optimization has shown an overfitting-like phenomenon in which models trained against adversarial attacks exhibit higher robustness on the training set compared to the test set.
no code implementations • 20 Nov 2022 • Yangning Li, Jiaoyan Chen, Yinghui Li, Tianyu Yu, Xi Chen, Hai-Tao Zheng
Extensive experiments demonstrate that PICSO can dramatically outperform the original PLMs and the other knowledge and synonym injection models on four different similarity-oriented tasks.
no code implementations • 14 Nov 2022 • Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
The proposed competition supports methodologically diverse solutions, such as reinforcement learning (RL) and offline learning methods, trained on a combination of naturalistic AD data and open-source simulation platform SMARTS.
no code implementations • 8 Nov 2022 • Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen, Hong-Gee Kim
Open Relation Extraction (OpenRE) aims to discover novel relations from open domains.
no code implementations • 2 Nov 2022 • Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He
We evaluate the effectiveness of the proposed model in terms of both accurate and calibrated sequential recommendation.
no code implementations • 28 Oct 2022 • Chengming Hu, Xuan Li, Dan Liu, Xi Chen, Ju Wang, Xue Liu
To tackle this issue, Teacher-Student architectures were first utilized in knowledge distillation, where simple student networks can achieve comparable performance to deep teacher networks.
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 #7 on
Cross-Modal Retrieval
on Flickr30k
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.
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.
no code implementations • 15 Oct 2022 • Xi Chen, Wenbo Jing, Weidong Liu, Yichen Zhang
The development of modern technology has enabled data collection of unprecedented size, which poses new challenges to many statistical estimation and inference problems.
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.
no code implementations • 13 Oct 2022 • Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen
3D bounding boxes are a widespread intermediate representation in many computer vision applications.
no code implementations • 6 Oct 2022 • Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
While language Models store a massive amount of world knowledge implicitly in their parameters, even very large models often fail to encode information about rare entities and events, while incurring huge computational costs.
no code implementations • 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.
Ranked #1 on
Image Captioning
on nocaps out-of-domain
no code implementations • 12 Sep 2022 • Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
The ability to recognize and reason about text embedded in visual inputs is often lacking in vision-and-language (V&L) models, perhaps because V&L pre-training methods have often failed to include such an ability as their training objective.
1 code implementation • 12 Sep 2022 • Soravit Changpinyo, Linting Xue, Idan Szpektor, Ashish V. Thapliyal, Julien Amelot, Michal Yarom, Xi Chen, Radu Soricut
Visual Question Answering (VQA) has been primarily studied through the lens of the English language.
no code implementations • 10 Sep 2022 • Cheng Ge, Xi Chen, Ming Wang, Jin Wang
By using this deep network, we can easily locate the baseline position and then provide reliable and interpretable anomaly detection result.
no code implementations • 8 Sep 2022 • Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
Simulation studies are conducted to demonstrate the effectiveness of our proposed method.
no code implementations • 31 Aug 2022 • Jingyi Duan, Yang Ning, Xi Chen, Yong Chen
In many scenarios such as genome-wide association studies where dependences between variables commonly exist, it is often of interest to infer the interaction effects in the model.
no code implementations • 5 Aug 2022 • Dihong Jiang, Guojun Zhang, Mahdi Karami, Xi Chen, Yunfeng Shao, YaoLiang Yu
Similar to other differentially private (DP) learners, the major challenge for DPGM is also how to achieve a subtle balance between utility and privacy.
1 code implementation • 4 Aug 2022 • Adam Khakhar, Xi Chen
The dominant measure of loss in a Liquidity Position is Impermanent Loss.
no code implementations • 24 Jul 2022 • Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu
Bi-level optimization, especially the gradient-based category, has been widely used in the deep learning community including hyperparameter optimization and meta knowledge extraction.
no code implementations • 22 Jul 2022 • Xi Chen, Jiameng Lyu, Yining Wang, Yuan Zhou
Motivated by these practical needs, this paper studies the price-based network revenue management problem with both demand learning and fairness concern about the consumption across different resources.
no code implementations • 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 • 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.
no code implementations • 13 Jun 2022 • Haolin Yu, Kaiyang Guo, Mahdi Karami, Xi Chen, Guojun Zhang, Pascal Poupart
We present Federated Bayesian Neural Regression (FedBNR), an algorithm that learns a scalable stand-alone global federated GP that respects clients' privacy.
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.
no code implementations • 31 May 2022 • Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao liu, Xue Liu
Recent works reveal a huge gap between the implicit feedback and user-item relevance due to the fact that implicit feedback is also closely related to the item exposure.
no code implementations • 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.
no code implementations • 25 May 2022 • Ashish V. Thapliyal, Jordi Pont-Tuset, Xi Chen, Radu Soricut
Research in massively multilingual image captioning has been severely hampered by a lack of high-quality evaluation datasets.
1 code implementation • 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.
no code implementations • 22 Apr 2022 • Xi Chen, Christos Papadimitriou, Binghui Peng
We make novel uses of communication complexity to establish that any continual learner, even an improper one, needs memory that grows linearly with $k$, strongly suggesting that the problem is intractable.
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)
no code implementations • 28 Mar 2022 • Zike Lei, Xi Chen, Ying Tan, Xiang Chen, Li Chai
An optimization method is proposed in this paper for novel deployment of given number of directional landmarks (location and pose) within a given region in the 3-D task space.
no code implementations • 21 Mar 2022 • Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
In this study, we propose a multi-modal learning framework using three separate encoders to extract features of focal tumor image, tumor geometrics and global brain networks.
no code implementations • 20 Mar 2022 • Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu
However, the temporal information embedded in the dynamic graphs brings new challenges in analyzing and deploying them.
no code implementations • 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.
no code implementations • 16 Mar 2022 • Chang Li, Xi Chen, Li Chai
To reduce the computational complexity, some feature points are carefully selected representing the continuous deformation process, and the visual coverage for the deformable object is transferred to cover the specific feature points.
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.
no code implementations • 4 Mar 2022 • Xi Chen, Jiahuan Lv, Dehua Feng, Xuanqin Mou, Ling Bai, Shu Zhang, Zhiguo Zhou
Accurately identifying patient's status through medical images plays an important role in diagnosis and treatment.
no code implementations • 25 Feb 2022 • Junho Cho, Xi Chen, Greg Raybon, Son Thai Le
We show that digital subcarrier multiplexing (DSM) systems require much greater complexity for Nyquist pulse shaping than single-carrier (SC) systems, and it is a misconception that both systems use the same bandwidth when using the same pulse shaping.
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.
no code implementations • 27 Jan 2022 • Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen
Specifically, we develop the ontology transformation based on the external knowledge graph to address the knowledge missing issue, which fulfills and converts structure knowledge to text.
no code implementations • 25 Jan 2022 • Chaoyang Zhang, Shaojie Chang, Ti Bai, Xi Chen
In S2MS framework, both the input and output labels are noisy images.
no code implementations • 14 Jan 2022 • Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Further, the collaborative learning model achieves better performance than either the CNN or the GNN alone.
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.
no code implementations • 30 Nov 2021 • Benting Wan, Juelin Huang, Xi Chen
It is more flexible for decision makers to evaluate by interval-valued q-rung orthopair fuzzy set (IVq-ROFS), which offers fuzzy decision-making more applicational space.
no code implementations • 30 Nov 2021 • Chris McDonagh, Xi Chen
Designing models that produce accurate predictions is the fundamental objective of machine learning (ML).
no code implementations • 16 Nov 2021 • Xi Chen, Xuan Zhang, Yuan Zhou
To handle this general class, we propose a soft fairness constraint and develop the dynamic pricing policy that achieves $\tilde{O}(T^{4/5})$ regret.
no code implementations • 5 Nov 2021 • Xi Chen, Binghui Peng
We study dynamic algorithms for the problem of maximizing a monotone submodular function over a stream of $n$ insertions and deletions.
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.
no code implementations • 26 Oct 2021 • Jack Millichamp, Xi Chen
The catastrophic forgetting of previously learnt classes is one of the main obstacles to the successful development of a reliable and accurate generative continual learning model.
no code implementations • 3 Oct 2021 • Xi Chen, Quanquan Liu, Yining Wang
In particular, for a sequence of arriving context vectors, with each context associated with an underlying value, the decision-maker either makes a query at a certain point or skips the context.
no code implementations • 29 Sep 2021 • Xi Chen, Jiahuan Lv, Xuanqing Mou, Zhiguo Zhou
The experimental study demonstrated that AutoMO-Mixer can obtain better performance compared with Mixer and CNN.
no code implementations • 29 Sep 2021 • Jikun Kang, Xi Chen, Ju Wang, Chengming Hu, Xue Liu, Gregory Dudek
Results show that, compared with SOTA model-free methods, our method can improve the data efficiency and system performance by up to 75% and 10%, respectively.
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.
no code implementations • 16 Sep 2021 • Jin Zhao, Fangxing Li, Xi Chen, Qiuwei Wu
This paper proposes a new deep learning (DL) based model-free robust method for bulk system on-line load restoration with high penetration of wind power.
no code implementations • 10 Sep 2021 • Carol Alexander, Xi Chen, Charles Ward
We propose a risk-adjusted valuation model to facilitate investors' subjective decision making, in response to the market valuation of an investment opportunity.
no code implementations • 10 Sep 2021 • Xi Chen, Sentao Miao, Yining Wang
In the recent decades, the advance of information technology and abundant personal data facilitate the application of algorithmic personalized pricing.
no code implementations • 8 Sep 2021 • Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
X-GOAL is comprised of two components: the GOAL framework, which learns node embeddings for each homogeneous graph layer, and an alignment regularization, which jointly models different layers by aligning layer-specific node embeddings.
no code implementations • 4 Sep 2021 • Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Here we propose a method to predict IDH mutation using GNN, based on the structural brain network of patients.
no code implementations • 21 Aug 2021 • YiFan Li, Chao Li, Yiran Wei, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen
In this paper, we propose an adaptive unsupervised learning approach for efficient MRI intra-tumor partitioning and glioblastoma survival prediction.
no code implementations • SEMEVAL 2021 • Jiarun Cao, Yuejia Xiang, Yunyan Zhang, Zhiyuan Qi, Xi Chen, Yefeng Zheng
Accordingly, we propose CONNER, a cascade count and measurement extraction tool that can identify entities and the corresponding relations in a two-step pipeline model.
no code implementations • 23 Jul 2021 • Dan Liu, Xi Chen, Jie Fu, Chen Ma, Xue Liu
To simultaneously optimize bit-width, model size, and accuracy, we propose pruning ternary quantization (PTQ): a simple, effective, symmetric ternary quantization method.
no code implementations • 5 Jul 2021 • Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
However, these methods lack transparency when compared to simpler baselines, and as a result their robustness against adversarial attacks is a possible point of concern: could one or a few small adversarial modifications to the network have a large impact on the link prediction performance when using a network embedding model?
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 • 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.
no code implementations • NAACL 2021 • Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang, Xiang Wan
Word representations empowered with additional linguistic information have been widely studied and proved to outperform traditional embeddings.
no code implementations • NeurIPS 2021 • Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut
Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain performance improvements in the few-shot learning setting, where the number of training examples in the target tasks is severely limited.
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 • 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.
no code implementations • 5 May 2021 • Zhan Zhang, Xi Chen, Yuehai Wang, Jianyi Yang
The performance of voice-controlled systems is usually influenced by accented speech.
no code implementations • 20 Apr 2021 • Zhen Bi, Ningyu Zhang, Ganqiang Ye, Haiyang Yu, Xi Chen, Huajun Chen
Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when encountering confounder such as non-target aspects.
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.
no code implementations • ICLR Workshop Learning_to_Learn 2021 • Ali Ghadirzadeh, Petra Poklukar, Xi Chen, Huaxiu Yao, Hossein Azizpour, Mårten Björkman, Chelsea Finn, Danica Kragic
Few-shot meta-learning methods aim to learn the common structure shared across a set of tasks to facilitate learning new tasks with small amounts of data.
no code implementations • 10 Mar 2021 • Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schonlieb
The proposed BrainNetGAN is a generative adversarial network variant to augment the brain structural connectivity matrices for binary dementia classification tasks.
no code implementations • 8 Mar 2021 • Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet
Using these bounds, we show that FKM and EXP3 have no weighted-regret even for $d_{t}=O\left(t\log t\right)$.
no code implementations • 5 Mar 2021 • Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Our results show that the proposed method can successfully adapt a trained policy to different robotic platforms with novel physical parameters and the superiority of our meta-learning algorithm compared to state-of-the-art methods for the introduced few-shot policy adaptation problem.
no code implementations • 4 Mar 2021 • Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
Based on the proposed VRMOM estimator, we develop a general distributed inference algorithm that is robust against Byzantine failures.
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.
no code implementations • 14 Feb 2021 • Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
We propose a novel way to consider samples of different relevance confidence, and come up with a new training objective to learn a robust relevance model with desirable score distribution.
no code implementations • 9 Feb 2021 • Di Che, Junho Cho, Xi Chen
Probabilistic constellation shaping (PCS) has been widely applied to amplified coherent optical transmissions owing to its shaping gain over the uniform signaling and fine-grained rate adaptation to the underlying fiber channel condition.
no code implementations • 5 Feb 2021 • Xi Chen, Zehua Lai, He Li, Yichen Zhang
We first present the asymptotic distribution for the Polyak-Ruppert-averaging type Kiefer-Wolfowitz (AKW) estimators, whose asymptotic covariance matrices depend on the distribution of search directions and the function-value query complexity.
no code implementations • 29 Jan 2021 • Edward L. Boone, Abdel-Salam G. Abdel-Salam, Indranil Sahoo, Ryad Ghanam, Xi Chen, Aiman Hanif
During the current COVID-19 pandemic, decision makers are tasked with implementing and evaluating strategies for both treatment and disease prevention.
Methodology Applications
no code implementations • 29 Jan 2021 • Ying Yan, Chunyan Shi, Adam Kinos, Hafsa Syed, Sebastian Horvath, Andreas Walther, Lars Rippe, Xi Chen, Stefan Kröll
Here, we implement fast and robust control for the state preparation and state engineering in a rare-earth ions system.
Quantum Physics
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.
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).
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 • 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 • 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 • ICCV 2021 • Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, Manni Duan
In click-based interactive segmentation, the mask extraction process is dictated by positive/negative user clicks; however, most existing methods do not fully exploit the user cues, requiring excessive numbers of clicks for satisfactory results.
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 • 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 • 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 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 • Findings of the Association for Computational Linguistics 2020 • Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei zhang, Huajun Chen
It is desirable to generate answer summaries for online search engines, particularly summaries that can reveal direct answers to questions.
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.
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 • 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.
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.
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 • 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 • 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 • 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).
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.
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 • 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
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.
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 • 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.
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.
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 • 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 • 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 • 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 • 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 • 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 • 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.
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.
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.
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.
Semantic Segmentation
Semi-Supervised Video Object Segmentation
+1
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 • 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 • 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 • 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.
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.
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.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
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 • 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 • 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 • 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 • 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 • 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 • 25 Sep 2019 • Xi Chen, Yuan Gao, Ali Ghadirzadeh, Marten Bjorkman, Ginevra Castellano, Patric Jensfelt
In this work, we introduce an exploration approach based on maximizing the entropy of the visited states while learning a goal-conditioned policy.
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 • 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.
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 • 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.
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 • 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 $x^i$.
6 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.
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.