research
∙
08/18/2023
Sampling from Network Reliability in Near-linear Time
We give a O(n) time sampler for independent sets of a matroid with n ele...
share
research
∙
08/08/2023
Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning
The human brain can easily focus on one speaker and suppress others in s...
research
∙
06/05/2023
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
k-Clustering in ℝ^d (e.g., k-median and k-means) is a fundamental machin...
research
∙
06/02/2023
Text Style Transfer Back-Translation
Back Translation (BT) is widely used in the field of machine translation...
research
∙
05/25/2023
Asking Before Action: Gather Information in Embodied Decision Making with Language Models
With strong capabilities of reasoning and a generic understanding of the...
research
∙
04/29/2023
Uniqueness and Rapid Mixing in the Bipartite Hardcore Model
We characterize the uniqueness condition in the hardcore model for bipar...
research
∙
02/25/2023
TBFormer: Two-Branch Transformer for Image Forgery Localization
Image forgery localization aims to identify forged regions by capturing ...
research
∙
12/24/2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
One of the key challenges in deploying RL to real-world applications is ...
research
∙
10/19/2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Generalization in Reinforcement Learning (RL) aims to learn an agent dur...
research
∙
10/10/2022
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
Fog manufacturing can greatly enhance traditional manufacturing systems ...
research
∙
07/19/2022
A Near-Linear Time Sampler for the Ising Model
We give a near-linear time sampler for the Gibbs distribution of the fer...
research
∙
05/23/2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
We study human-in-the-loop reinforcement learning (RL) with trajectory p...
research
∙
05/23/2022
Flow-based Recurrent Belief State Learning for POMDPs
Partially Observable Markov Decision Process (POMDP) provides a principl...
research
∙
03/15/2022
Optimal mixing for two-state anti-ferromagnetic spin systems
We prove an optimal Ω(n^-1) lower bound for modified log-Sobolev (MLS) c...
research
∙
02/18/2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Few-shot learning is an established topic in natural images for years, b...
research
∙
11/04/2021
Optimal Mixing Time for the Ising Model in the Uniqueness Regime
We prove an optimal O(n log n) mixing time of the Glauber dynamics for t...
research
∙
11/04/2021
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Pre-training lays the foundation for recent successes in radiograph anal...
research
∙
10/26/2021
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
A growing trend for value-based reinforcement learning (RL) algorithms i...
research
∙
10/07/2021
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus co...
research
∙
10/07/2021
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Although model-based reinforcement learning (RL) approaches are consider...
research
∙
10/07/2021
Understanding Domain Randomization for Sim-to-real Transfer
Reinforcement learning encounters many challenges when applied directly ...
research
∙
09/24/2021
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
The framework of deep reinforcement learning (DRL) provides a powerful a...
research
∙
09/22/2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Variational autoencoders (VAEs), as an important aspect of generative mo...
research
∙
09/22/2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...
research
∙
08/29/2021
Exact algorithms for maximum weighted independent set on sparse graphs
The maximum independent set problem is one of the most important problem...
research
∙
07/23/2021
Adaptively Weighted Top-N Recommendation for Organ Matching
Reducing the shortage of organ donations to meet the demands of patients...
research
∙
07/04/2021
Certifiably Robust Interpretation via Renyi Differential Privacy
Motivated by the recent discovery that the interpretation maps of CNNs c...
research
∙
06/10/2021
U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition
The unified streaming and non-streaming two-pass (U2) end-to-end model f...
research
∙
05/31/2021
Rapid mixing of Glauber dynamics via spectral independence for all degrees
We prove an optimal Ω(n^-1) lower bound on the spectral gap of Glauber d...
research
∙
02/08/2021
Near-optimal Representation Learning for Linear Bandits and Linear RL
This paper studies representation learning for multi-task linear bandits...
research
∙
02/02/2021
WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit
In this paper, we present a new open source, production first and produc...
research
∙
12/28/2020
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Point cloud segmentation is a fundamental visual understanding task in 3...
research
∙
11/19/2020
Relation Extraction with Contextualized Relation Embedding (CRE)
Relation extraction is the task of identifying relation instance between...
research
∙
08/31/2020
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Reinforcement learning (RL) in episodic, factored Markov decision proces...
research
∙
07/27/2020
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events
Humans integrate multiple sensory modalities (e.g. visual and audio) to ...
research
∙
06/01/2020
(Locally) Differentially Private Combinatorial Semi-Bandits
In this paper, we study Combinatorial Semi-Bandits (CSB) that is an exte...
research
∙
04/04/2020
Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs
Information visualization significantly enhances human perception by gra...
research
∙
06/29/2019
Non-destructive three-dimensional measurement of hand vein based on self-supervised network
At present, supervised stereo methods based on deep neural network have ...
research
∙
06/29/2019
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
In this paper, we present a convolution neural network based method to r...
research
∙
04/12/2019
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret
We study the communication complexity of distributed multi-armed bandits...
research
∙
04/09/2019
Passive TCP Identification for Wired and WirelessNetworks: A Long-Short Term Memory Approach
Transmission control protocol (TCP) congestion control is one of the key...
research
∙
03/23/2019
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Pixel-level semantic segmentation is a challenging task with a huge amou...
research
∙
01/27/2019
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
A fundamental question in reinforcement learning is whether model-free a...
research
∙
03/20/2018
Discrete Potts Model for Generating Superpixels on Noisy Images
Many computer vision applications, such as object recognition and segmen...
research
∙
11/06/2014
The Spaces of Data, Information, and Knowledge
We study the data space D of any given data set X and explain how functi...
research
∙
06/06/2014
Automated Generation of Geometric Theorems from Images of Diagrams
We propose an approach to generate geometric theorems from electronic im...
research
∙
05/01/2010