b'Xiang Zhou'

research

∙ 06/17/2023

MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images

We address the problem of photorealistic 3D face avatar synthesis from s...

0 Weichen Zhang, et al. ∙

research

∙ 06/03/2023

Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations

The diffusion model has shown remarkable success in computer vision, but...

0 Yu Cao, et al. ∙

research

∙ 05/30/2023

Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training

Estimating human pose from video is a task that receives considerable at...

0 Wenshuo Chen, et al. ∙

research

∙ 04/28/2023

RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction

Universal Information Extraction (UIE) is an area of interest due to the...

0 Chengyuan Liu, et al. ∙

research

∙ 04/21/2023

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

Multi-step reasoning ability is fundamental to many natural language tas...

4 Archiki Prasad, et al. ∙

research

∙ 04/20/2023

Scene Style Text Editing

In this work, we propose a task called "Scene Style Text Editing (SSTE)"...

0 Tonghua Su, et al. ∙

research

∙ 04/04/2023

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

In response to innovations in machine learning (ML) models, production w...

0 Norman P. Jouppi, et al. ∙

research

∙ 02/13/2023

Learning to Scale Temperature in Masked Self-Attention for Image Inpainting

Recent advances in deep generative adversarial networks (GAN) and self-a...

0 Xiang Zhou, et al. ∙

research

∙ 11/28/2022

Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality

Recent datasets expose the lack of the systematic generalization ability...

11 Yichen Jiang, et al. ∙

research

∙ 09/09/2022

Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network

Adaptive training methods for physical-informed neural network (PINN) re...

0 Jiayue Han, et al. ∙

research

∙ 08/22/2022

Mission Apollo: Landing Optical Circuit Switching at Datacenter Scale

In this paper, we describe Apollo, to the best of our knowledge, the wor...

0 Ryohei Urata, et al. ∙

research

∙ 06/30/2022

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?

Previous Part-Of-Speech (POS) induction models usually assume certain in...

11 Xiang Zhou, et al. ∙

research

∙ 06/21/2022

Marginal Interventional Effects

Conventional causal estimands, such as the average treatment effect (ATE...

0 Xiang Zhou, et al. ∙

research

∙ 06/11/2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck

Existing studies have demonstrated that adversarial examples can be dire...

0 Cenyuan Zhang, et al. ∙

research

∙ 05/11/2022

Volumetric-mapping-based inverse design of 3D architected materials and mobility control by topology reconstruction

The recent development of modular origami structures has ushered in a ne...

0 Kai Xiao, et al. ∙

research

∙ 03/24/2022

Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons

Mediation hypothesis testing for a large number of mediators is challeng...

0 Jiacong Du, et al. ∙

research

∙ 03/14/2022

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Providing natural language instructions in prompts is a useful new parad...

1 Archiki Prasad, et al. ∙

research

∙ 03/04/2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Combinatorial optimization is a well-established area in operations rese...

12 Maxime Gasse, et al. ∙

research

∙ 11/19/2021

Learn Quasi-stationary Distributions of Finite State Markov Chain

We propose a reinforcement learning (RL) approach to compute the express...

0 Zhiqiang Cai, et al. ∙

research

∙ 08/10/2021

Active Learning for Transition State Calculation

The transition state (TS) calculation is a grand challenge for computati...

0 Shuting Gu, et al. ∙

research

∙ 07/08/2021

Sublinear Regret for Learning POMDPs

We study the model-based undiscounted reinforcement learning for partial...

7 Yi Xiong, et al. ∙

research

∙ 07/01/2021

Verifying Verified Code

A recent case study from AWS by Chong et al. proposes an effective metho...

0 Siddharth Priya, et al. ∙

research

∙ 04/20/2021

Hidden Biases in Unreliable News Detection Datasets

Automatic unreliable news detection is a research problem with great pot...

7 Xiang Zhou, et al. ∙

research

∙ 04/18/2021

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning

We introduce distributed NLI, a new NLU task with a goal to predict the ...

10 Xiang Zhou, et al. ∙

research

∙ 03/20/2021

Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations

Solving partial differential equations (PDEs) by parametrizing its solut...

0 Keke Wu, et al. ∙

research

∙ 11/25/2020

Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators

Causal mediation analysis concerns the pathways through which a treatmen...

0 Xiang Zhou, et al. ∙

research

∙ 11/18/2020

Some Doubly and Multiply Robust Estimators of Controlled Direct Effects

This letter introduces several doubly, triply, and quadruply robust esti...

0 Xiang Zhou, et al. ∙

research

∙ 11/10/2020

Projection Method for Saddle Points of Energy Functional in H^-1 Metric

Saddle points play important roles as the transition states of activated...

0 Shuting Gu, et al. ∙

research

∙ 10/07/2020

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Despite the subjective nature of many NLP tasks, most NLU evaluations ha...

4 Yixin Nie, et al. ∙

research

∙ 09/23/2020

Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators

We consider Bayesian high-dimensional mediation analysis to identify amo...

0 Yanyi Song, et al. ∙

research

∙ 09/22/2020

Deep Reinforcement Learning for On-line Dialogue State Tracking

Dialogue state tracking (DST) is a crucial module in dialogue management...

0 Zhi Chen, et al. ∙

research

∙ 09/14/2020

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue

A multi-turn dialogue is composed of multiple utterances from two or mor...

4 Longxiang Liu, et al. ∙

research

∙ 09/14/2020

Composing Answer from Multi-spans for Reading Comprehension

This paper presents a novel method to generate answers for non-extractio...

8 Zhuosheng Zhang, et al. ∙

research

∙ 09/10/2020

Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation

Pre-trained Language Models (PrLMs) have been widely used as backbones i...

0 Junlong Li, et al. ∙

research

∙ 08/14/2020

Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects

Causal mediation analysis aims to characterize an exposure's effect on a...

0 Yanyi Song, et al. ∙

research

∙ 06/10/2020

Machine Learning and Control Theory

We survey in this article the connections between Machine Learning and C...

0 Alain Bensoussan, et al. ∙

research

∙ 05/10/2020

Towards Robustifying NLI Models Against Lexical Dataset Biases

While deep learning models are making fast progress on the task of Natur...

0 Xiang Zhou, et al. ∙

research

∙ 04/28/2020

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

We find that the performance of state-of-the-art models on Natural Langu...

0 Xiang Zhou, et al. ∙

research

∙ 04/18/2020

Enumerating Chemical Graphs with Two Disjoint Cycles Satisfying Given Path Frequency Specifications

Enumerating chemical graphs satisfying given constraints is a fundamenta...

0 Kyousuke Yamashita, et al. ∙

research

∙ 04/13/2020

Explicit Estimation of Derivatives from Data and Differential Equations by Gaussian Process Regression

In this work, we employ the Bayesian inference framework to solve the pr...

0 Hongqiao Wang, et al. ∙

research

∙ 03/07/2020

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM

Stochastic version of alternating direction method of multiplier (ADMM) ...

0 Xiang Zhou, et al. ∙

research

∙ 01/26/2020

Regime Switching Bandits

We study a multi-armed bandit problem where the rewards exhibit regime-s...

6 Xiang Zhou, et al. ∙

research

∙ 11/25/2019

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

The traditional super-resolution methods that aim to minimize the mean s...

20 Yitong Yan, et al. ∙

research

∙ 09/05/2019

Semantics-aware BERT for Language Understanding

The latest work on language representations carefully integrates context...

0 Zhuosheng Zhang, et al. ∙

research

∙ 08/30/2019

DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension

Multi-choice reading comprehension is a challenging task to select an an...

0 Shuailiang Zhang, et al. ∙

research

∙ 01/27/2019

Dual Co-Matching Network for Multi-choice Reading Comprehension

Multi-choice reading comprehension is a challenging task that requires c...

0 Shuailiang Zhang, et al. ∙

research

∙ 01/16/2019

Dependency or Span, End-to-End Uniform Semantic Role Labeling

Semantic role labeling (SRL) aims to discover the predicateargument stru...

0 Zuchao Li, et al. ∙

research

∙ 09/08/2018

I Know What You Want: Semantic Learning for Text Comprehension

Who did what to whom is a major focus in natural language understanding,...

0 Zhuosheng Zhang, et al. ∙

research

∙ 08/23/2018

Regression-with-residuals Estimation of Marginal Effects: A Method of Adjusting for Treatment-induced Confounders that may also be Moderators

Treatment-induced confounders complicate analyses of time-varying treatm...

0 Geoffrey T. Wodtke, et al. ∙

research

∙ 07/28/2018

Residual Balancing Weights for Marginal Structural Models: with Application to Analyses of Time-varying Treatments and Causal Mediation

Treatment-induced confounding arises in analyses of time-varying treatme...

0 Xiang Zhou, et al. ∙

Xiang Zhou

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