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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...
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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...
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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...
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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...
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04/21/2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
Multi-step reasoning ability is fundamental to many natural language tas...
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04/20/2023
Scene Style Text Editing
In this work, we propose a task called "Scene Style Text Editing (SSTE)"...
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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...
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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...
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11/28/2022
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Recent datasets expose the lack of the systematic generalization ability...
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09/09/2022
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network
Adaptive training methods for physical-informed neural network (PINN) re...
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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...
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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...
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06/21/2022
Marginal Interventional Effects
Conventional causal estimands, such as the average treatment effect (ATE...
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06/11/2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
Existing studies have demonstrated that adversarial examples can be dire...
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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...
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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...
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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...
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03/04/2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Combinatorial optimization is a well-established area in operations rese...
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11/19/2021
Learn Quasi-stationary Distributions of Finite State Markov Chain
We propose a reinforcement learning (RL) approach to compute the express...
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08/10/2021
Active Learning for Transition State Calculation
The transition state (TS) calculation is a grand challenge for computati...
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07/08/2021
Sublinear Regret for Learning POMDPs
We study the model-based undiscounted reinforcement learning for partial...
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07/01/2021
Verifying Verified Code
A recent case study from AWS by Chong et al. proposes an effective metho...
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04/20/2021
Hidden Biases in Unreliable News Detection Datasets
Automatic unreliable news detection is a research problem with great pot...
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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 ...
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03/20/2021
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations
Solving partial differential equations (PDEs) by parametrizing its solut...
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11/25/2020
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators
Causal mediation analysis concerns the pathways through which a treatmen...
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11/18/2020
Some Doubly and Multiply Robust Estimators of Controlled Direct Effects
This letter introduces several doubly, triply, and quadruply robust esti...
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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...
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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...
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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...
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09/22/2020
Deep Reinforcement Learning for On-line Dialogue State Tracking
Dialogue state tracking (DST) is a crucial module in dialogue management...
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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...
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09/14/2020
Composing Answer from Multi-spans for Reading Comprehension
This paper presents a novel method to generate answers for non-extractio...
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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...
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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...
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06/10/2020
Machine Learning and Control Theory
We survey in this article the connections between Machine Learning and C...
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05/10/2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
While deep learning models are making fast progress on the task of Natur...
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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...
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04/18/2020
Enumerating Chemical Graphs with Two Disjoint Cycles Satisfying Given Path Frequency Specifications
Enumerating chemical graphs satisfying given constraints is a fundamenta...
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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...
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03/07/2020
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Stochastic version of alternating direction method of multiplier (ADMM) ...
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01/26/2020
Regime Switching Bandits
We study a multi-armed bandit problem where the rewards exhibit regime-s...
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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...
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09/05/2019
Semantics-aware BERT for Language Understanding
The latest work on language representations carefully integrates context...
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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...
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01/27/2019
Dual Co-Matching Network for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task that requires c...
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01/16/2019
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Semantic role labeling (SRL) aims to discover the predicateargument stru...
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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,...
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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...
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07/28/2018