Search Results for author: Xi Chen

Found 270 papers, 62 papers with code

A Three-step Method for Multi-Hop Inference Explanation Regeneration

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.

Explanation Generation Re-Ranking

CONA: A novel CONtext-Aware instruction paradigm for communication using large language model

no code implementations26 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.

Language Modelling Prompt Engineering

Self-Supervised Instance Segmentation by Grasping

no code implementations10 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.

Instance Segmentation Robotic Grasping +1

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN

no code implementations3 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.

Instance Segmentation Object Recognition +1

Transformer-based models and hardware acceleration analysis in autonomous driving: A survey

no code implementations21 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.

Autonomous Driving Decision Making +2

EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks

no code implementations15 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.

The Future of ChatGPT-enabled Labor Market: A Preliminary Study

no code implementations14 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.

Collaborative Filtering Language Modelling

Head-tail Loss: A simple function for Oriented Object Detection and Anchor-free models

no code implementations10 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.

object-detection Object Detection +1

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

no code implementations24 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.

Image Enhancement Management +1

CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

no code implementations24 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.

CoLA Image Generation

Open-vocabulary Panoptic Segmentation with Embedding Modulation

no code implementations20 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.

Image Segmentation Open Vocabulary Panoptic Segmentation +1

Knowledge-augmented Few-shot Visual Relation Detection

no code implementations9 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.

Few-Shot Learning Language Modelling

Statistical Inference with Stochastic Gradient Methods under $φ$-mixing Data

no code implementations24 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.

Time Series Analysis

Uniformity Testing over Hypergrids with Subcube Conditioning

no code implementations17 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.

The most probable dynamics of receptor-ligand binding on cell membrane

no code implementations16 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.

3D Molecular Generation via Virtual Dynamics

no code implementations12 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.

Drug Discovery

Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models

no code implementations28 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.

Change Point Detection

A Framework of Transaction Packaging in High-throughput Blockchains

no code implementations26 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.

Vocal Bursts Intensity Prediction

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

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.

Domain Adaptation Semantic Segmentation

Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent

no code implementations30 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.

Decision Making Multi-Armed Bandits

Hyperspherical Quantization: Toward Smaller and More Accurate Models

no code implementations24 Dec 2022 Dan Liu, Xi Chen, Chen Ma, Xue Liu

Model quantization enables the deployment of deep neural networks under resource-constrained devices.


Interpretable Node Representation with Attribute Decoding

no code implementations3 Dec 2022 Xiaohui Chen, Xi Chen, LiPing Liu

We further propose a new learning model, interpretable NOde Representation with Attribute Decoding (NORAD).

Representation Learning

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization

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.

Adversarial Robustness

Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge

no code implementations20 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.

Entity Linking Language Modelling +4

NeurIPS 2022 Competition: Driving SMARTS

no code implementations14 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.

Autonomous Driving Reinforcement Learning (RL)

Self-Attentive Sequential Recommendation with Cheap Causal Convolutions

no code implementations2 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.

Sequential Recommendation

Teacher-Student Architecture for Knowledge Learning: A Survey

no code implementations28 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.

Knowledge Distillation Multi-Task Learning

Dissecting Deep Metric Learning Losses for Image-Text Retrieval

2 code implementations21 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.

Cross-Modal Retrieval Language Modelling +4

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

1 code implementation19 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.

Event Extraction graph construction +2

Distributed Estimation and Inference for Semi-parametric Binary Response Models

no code implementations15 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.

Distributed Computing

WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments

1 code implementation14 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.

Atari Games Benchmarking +3

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

no code implementations13 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.

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

no code implementations6 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.

Question Answering Retrieval +1

PreSTU: Pre-Training for Scene-Text Understanding

no code implementations12 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.

Image Captioning Optical Character Recognition (OCR) +2

Deep Baseline Network for Time Series Modeling and Anomaly Detection

no code implementations10 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.

Anomaly Detection Time Series Anomaly Detection

Two-stage Hypothesis Tests for Variable Interactions with FDR Control

no code implementations31 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.

Vocal Bursts Valence Prediction

DP$^2$-VAE: Differentially Private Pre-trained Variational Autoencoders

no code implementations5 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.

Delta Hedging Liquidity Positions on Automated Market Makers

1 code implementation4 Aug 2022 Adam Khakhar, Xi Chen

The dominant measure of loss in a Liquidity Position is Impermanent Loss.

Gradient-based Bi-level Optimization for Deep Learning: A Survey

no code implementations24 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.

Hyperparameter Optimization

Fairness-aware Network Revenue Management with Demand Learning

no code implementations22 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.

Fairness Management

Mitigating Data Heterogeneity in Federated Learning with Data Augmentation

no code implementations20 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.

Data Augmentation Domain Generalization +1

Robust One Round Federated Learning with Predictive Space Bayesian Inference

1 code implementation20 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.

Bayesian Inference Federated Learning

Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process

no code implementations13 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.

Federated Learning Knowledge Distillation +1

ReCo: A Dataset for Residential Community Layout Planning

1 code implementation8 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.

Layout Design

Unbiased Implicit Feedback via Bi-level Optimization

no code implementations31 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.

Recommendation Systems

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

no code implementations25 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.

Image Captioning Model Selection +1

All You May Need for VQA are Image Captions

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.

Image Captioning Question Answering +3

Memory Bounds for Continual Learning

no code implementations22 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.

Continual Learning

FocalClick: Towards Practical Interactive Image Segmentation

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)

Image Segmentation Interactive Segmentation +1

Optimization of Directional Landmark Deployment for Visual Observer on SE(3)

no code implementations28 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.

Multi-modal learning for predicting the genotype of glioma

no code implementations21 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.

Clinical Knowledge

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey

no code implementations20 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.

Graph Learning

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL

no code implementations16 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.

Continuous Control Offline RL +2

Coverage Optimization of Camera Network for Continuous Deformable Object

no code implementations16 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.

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks

1 code implementation10 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.

Learning Theory Model Selection +1

On Digital Subcarrier Multiplexing under A Bandwidth Limitation and ASE Noise

no code implementations25 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.

Proportional Fairness in Federated Learning

1 code implementation3 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.

Fairness Federated Learning

Ontology-enhanced Prompt-tuning for Few-shot Learning

no code implementations27 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.

Event Extraction Few-Shot Learning +1

Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma

no code implementations14 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.

Generalized DataWeighting via Class-Level Gradient Manipulation

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.

Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making

no code implementations30 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.

Decision Making Management

Leveraging Intrinsic Gradient Information for Further Training of Differentiable Machine Learning Models

no code implementations30 Nov 2021 Chris McDonagh, Xi Chen

Designing models that produce accurate predictions is the fundamental objective of machine learning (ML).

BIG-bench Machine Learning

Fairness-aware Online Price Discrimination with Nonparametric Demand Models

no code implementations16 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.


On the Complexity of Dynamic Submodular Maximization

no code implementations5 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.

Generalized Data Weighting via Class-level Gradient Manipulation

1 code implementation29 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.

Brain-inspired feature exaggeration in generative replay for continual learning

no code implementations26 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.

class-incremental learning Class Incremental Learning +1

Active Learning for Contextual Search with Binary Feedbacks

no code implementations3 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.

Active Learning PAC learning

MOBA: Multi-teacher Model Based Reinforcement Learning

no code implementations29 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.

Decision Making Knowledge Distillation +4

PAC-Bayes Information Bottleneck

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.

Deep Learning based Model-free Robust Load Restoration to Enhance Bulk System Resilience with Wind Power Penetration

no code implementations16 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.

Risk-Adjusted Valuation for Real Option Decisions

no code implementations10 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.

Decision Making

Differential Privacy in Personalized Pricing with Nonparametric Demand Models

no code implementations10 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.

Adversarial Attack

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

no code implementations8 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.

Contrastive Learning Graph Learning +2

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse

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.

Joint Entity and Relation Extraction

Pruning Ternary Quantization

no code implementations23 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.

Image Classification Model Compression +3

Adversarial Robustness of Probabilistic Network Embedding for Link Prediction

no code implementations5 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?

Adversarial Robustness Link Prediction +1

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

1 code implementation16 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.

Field Embedding: A Unified Grain-Based Framework for Word Representation

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.

Word Embeddings

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning

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.

Few-Shot Learning

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

1 code implementation12 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.

Interventional Aspect-Based Sentiment Analysis

no code implementations20 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.

Aspect-Based Sentiment Analysis (ABSA)

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

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.

Management reinforcement-learning +1


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.

Meta-Learning Variational Inference

BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification

no code implementations10 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.

Binary Classification Classification +3

No Weighted-Regret Learning in Adversarial Bandits with Delays

no code implementations8 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 $d_{t}=O\left(t\log t\right)$.

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms

no code implementations5 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.


Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference

no code implementations4 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.

Lifelong Learning based Disease Diagnosis on Clinical Notes

1 code implementation27 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.

Learning a Product Relevance Model from Click-Through Data in E-Commerce

no code implementations14 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.

Click-Through Rate Prediction

Does Probabilistic Constellation Shaping Benefit IM-DD Systems without Optical Amplifiers?

no code implementations9 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.

Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods

no code implementations5 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.

Stochastic Optimization

Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the State of Qatar

no code implementations29 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

Experimental implementation of precisely tailored light-matter interaction via inverse engineering

no code implementations29 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

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data

no code implementations26 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).


Adversarial Combinatorial Bandits with General Non-linear Reward Functions

no code implementations5 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.}

KETG: A Knowledge Enhanced Text Generation Framework

no code implementations1 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.

Text Generation

Conditional Diffusion for Interactive Segmentation

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.

Interactive Segmentation

Full C-Band WDM Transmission of Nonlinearity-Tolerant Probabilistically Shaped QAM over 2824-km Dispersion-Managed Fiber

no code implementations9 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.

Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients

no code implementations5 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.

Bayesian Optimization BIG-bench Machine Learning +1

Distant Supervision for E-commerce Query Segmentation via Attention Network

no code implementations9 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.

Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance

no code implementations9 Nov 2020 Xiao Gong, Xi Chen, Wei Chen

Video surveillance is gaining increasing popularity to assist in railway intrusion detection in recent years.

Few-Shot Learning Intrusion Detection

An Industry Evaluation of Embedding-based Entity Alignment

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.

Entity Alignment Knowledge Graphs

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance

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.

Text Generation

DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis

1 code implementation3 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.

BIG-bench Machine Learning feature selection

Privacy-Preserving Dynamic Personalized Pricing with Demand Learning

no code implementations27 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.

Privacy Preserving

Experimental Demonstration of 4,294,967,296-QAM Based Y-00 Quantum Stream Cipher Carrying 160-Gb/s 16-QAM Signals

no code implementations23 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.

Designing Compact Features for Remote Stroke Rehabilitation Monitoring using Wearable Accelerometers

no code implementations17 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.

Finding Influential Instances for Distantly Supervised Relation Extraction

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.

Relation Extraction

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

no code implementations6 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).

Graph Representation Learning Retrieval

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

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.

Recommendation Systems

On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

no code implementations17 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).

reinforcement-learning Reinforcement Learning (RL)

Transformer with Bidirectional Decoder for Speech Recognition

no code implementations11 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

Variable Skipping for Autoregressive Range Density Estimation

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.

Data Augmentation Density Estimation

Curves of maximal moduli on K3 surfaces

no code implementations3 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

NeuroCard: One Cardinality Estimator for All Tables

1 code implementation15 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.

Non-iterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue

no code implementations11 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.

Learning and Testing Junta Distributions with Subcube Conditioning

no code implementations26 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].

DAN: A Deformation-Aware Network for Consecutive Biomedical Image Interpolation

no code implementations23 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.

Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music

no code implementations8 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).

Information Retrieval Melody Extraction +2

Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis

no code implementations5 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.

Dimension Independent Generalization Error by Stochastic Gradient Descent

no code implementations25 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.

Model Selection regression

Resolution Adaptive Networks for Efficient Inference

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.

Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing

no code implementations16 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.


Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm

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 $n$.

Online Covariance Matrix Estimation in Stochastic Gradient Descent

no code implementations10 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.

ALPINE: Active Link Prediction using Network Embedding

no code implementations4 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.

Active Learning Experimental Design +2

On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond

no code implementations25 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.


Correcting Knowledge Base Assertions

1 code implementation19 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.

Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data

no code implementations30 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

EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference

no code implementations22 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.


Small-footprint Keyword Spotting with Graph Convolutional Network

no code implementations11 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.

Small-Footprint Keyword Spotting

Online EXP3 Learning in Adversarial Bandits with Delayed Feedback

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.

Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning

no code implementations17 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)).

Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem

no code implementations27 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.

Traveling Salesman Problem

Thresholding Bandit Problem with Both Duels and Pulls

no code implementations14 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.

Robust Dynamic Assortment Optimization in the Presence of Outlier Customers

no code implementations9 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.

Thompson Sampling

Skew-Explore: Learn faster in continuous spaces with sparse rewards

no code implementations25 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.

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators

no code implementations22 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.

Image Captioning Text Matching

Adversarial Feature Training for Generalizable Robotic Visuomotor Control

no code implementations17 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.

Reinforcement Learning (RL) Transfer Learning

UER: An Open-Source Toolkit for Pre-training Models

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.

Bayesian posterior repartitioning for nested sampling

1 code implementation13 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.

Bayesian Inference Unity

Efficient average-case population recovery in the presence of insertions and deletions

no code implementations12 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 $x^i$.

Evaluating Protein Transfer Learning with TAPE

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.

BIG-bench Machine Learning Representation Learning +1

Distributed High-dimensional Regression Under a Quantile Loss Function

no code implementations13 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.

regression Vocal Bursts Intensity Prediction