b'Tian Lan'

research

∙ 09/09/2023

Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective

Reinforcement learning (RL) is a powerful tool for solving complex decis...

0 Muzhe Guo, et al. ∙

research

∙ 08/28/2023

Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning

Offline reinforcement learning aims to utilize datasets of previously ga...

0 Hanhan Zhou, et al. ∙

research

∙ 08/07/2023

Minimizing Return Gaps with Discrete Communications in Decentralized POMDP

Communication is crucial for solving cooperative Multi-Agent Reinforceme...

0 Jingdi Chen, et al. ∙

research

∙ 07/21/2023

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs

Covering skill (a.k.a., option) discovery has been developed to improve ...

0 Jiayu Chen, et al. ∙

research

∙ 07/13/2023

Copy Is All You Need

The dominant text generation models compose the output by sequentially s...

0 Tian Lan, et al. ∙

research

∙ 07/05/2023

The Predictability of Stock Price: Empirical Study onTick Data in Chinese Stock Market

Whether or not stocks are predictable has been a topic of concern for de...

0 Yueshan Chen, et al. ∙

research

∙ 06/05/2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis

This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...

0 Tian Lan, et al. ∙

research

∙ 05/31/2023

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization

Multi-Agent Experience Replay (MER) is a key component of off-policy rei...

0 Kailash Gogineni, et al. ∙

research

∙ 05/30/2023

FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design

Robust network design, which aims to guarantee network availability unde...

0 Chenyi Liu, et al. ∙

research

∙ 05/27/2023

Hierarchical Deep Counterfactual Regret Minimization

Imperfect Information Games (IIGs) offer robust models for scenarios whe...

0 Jiayu Chen, et al. ∙

research

∙ 05/25/2023

PandaGPT: One Model To Instruction-Follow Them All

We present PandaGPT, an approach to emPower large lANguage moDels with v...

0 Yixuan Su, et al. ∙

research

∙ 05/22/2023

Towards Efficient Multi-Agent Learning Systems

Multi-Agent Reinforcement Learning (MARL) is an increasingly important r...

0 Kailash Gogineni, et al. ∙

research

∙ 05/22/2023

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Multi-task Imitation Learning (MIL) aims to train a policy capable of pe...

0 Jiayu Chen, et al. ∙

research

∙ 02/21/2023

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization

Experience replay is crucial for off-policy reinforcement learning (RL) ...

4 Yongsheng Mei, et al. ∙

research

∙ 02/11/2023

ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning

Value function factorization methods have become a dominant approach for...

0 Yongsheng Mei, et al. ∙

research

∙ 02/10/2023

Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems

Multi-Agent Reinforcement Learning (MARL) is a promising area of researc...

0 Kailash Gogineni, et al. ∙

research

∙ 02/06/2023

Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation

Learning with multiple modalities is crucial for automated brain tumor s...

0 Yongsheng Mei, et al. ∙

research

∙ 01/06/2023

TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition

To solve the problems of reduced accuracy and prolonging convergence tim...

0 Weicheng Gao, et al. ∙

research

∙ 12/05/2022

Momentum Decoding: Open-ended Text Generation As Graph Exploration

Open-ended text generation with autoregressive language models (LMs) is ...

0 Tian Lan, et al. ∙

research

∙ 12/01/2022

ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process

Learning rich skills through temporal abstractions without supervision o...

0 Jiayu Chen, et al. ∙

research

∙ 10/13/2022

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions

Bayesian optimization (BO) is a popular global optimization scheme for s...

0 Yongsheng Mei, et al. ∙

research

∙ 10/07/2022

Multi-agent Deep Covering Option Discovery

The use of options can greatly accelerate exploration in reinforcement l...

0 Jiayu Chen, et al. ∙

research

∙ 10/05/2022

Hierarchical Adversarial Inverse Reinforcement Learning

Hierarchical Imitation Learning (HIL) has been proposed to recover highl...

0 Jiayu Chen, et al. ∙

research

∙ 06/22/2022

PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) has witnessed significant prog...

0 Hanhan Zhou, et al. ∙

research

∙ 03/03/2022

Efficient Video Instance Segmentation via Tracklet Query and Proposal

Video Instance Segmentation (VIS) aims to simultaneously classify, segme...

0 Jialian Wu, et al. ∙

research

∙ 02/13/2022

A Contrastive Framework for Neural Text Generation

Text generation is of great importance to many natural language processi...

0 Yixuan Su, et al. ∙

research

∙ 02/01/2022

A Framework for Server Authentication using Communication Protocol Dialects

In today's world, computer networks have become vulnerable to numerous a...

0 Kailash Gogineni, et al. ∙

research

∙ 01/27/2022

On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning

One of the biggest challenges in Federated Learning (FL) is that client ...

0 Hanhan Zhou, et al. ∙

research

∙ 01/20/2022

Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs

Covering option discovery has been developed to improve the exploration ...

4 Jiayu Chen, et al. ∙

research

∙ 01/04/2022

Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

Value function factorization via centralized training and decentralized ...

0 Hanhan Zhou, et al. ∙

research

∙ 11/23/2021

PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer

The virtual try-on system has gained great attention due to its potentia...

0 Hanhan Zhou, et al. ∙

research

∙ 10/13/2021

Exploring Dense Retrieval for Dialogue Response Selection

Recent research on dialogue response selection has been mainly focused o...

7 Tian Lan, et al. ∙

research

∙ 10/12/2021

Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning

Recent single-channel speech enhancement methods usually convert wavefor...

0 Wenxin Tai, et al. ∙

research

∙ 10/07/2021

MPD: Moving Target Defense through Communication Protocol Dialects

Communication protocol security is among the most significant challenges...

0 Yongsheng Mei, et al. ∙

research

∙ 09/20/2021

Merlion: A Machine Learning Library for Time Series

We introduce Merlion, an open-source machine learning library for time s...

78 Aadyot Bhatnagar, et al. ∙

research

∙ 09/13/2021

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering

Gradient-based training in federated learning is known to be vulnerable ...

0 Jian Xu, et al. ∙

research

∙ 08/31/2021

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

Deep reinforcement learning (RL) is a powerful framework to train decisi...

0 Tian Lan, et al. ∙

research

∙ 07/30/2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning

Gradient quantization is an emerging technique in reducing communication...

0 Guangfeng Yan, et al. ∙

research

∙ 03/05/2021

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery

With the freight delivery demands and shipping costs increasing rapidly,...

0 Jiayu Chen, et al. ∙

research

∙ 12/21/2020

Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems

Since the pre-trained language models are widely used, retrieval-based o...

0 Tian Lan, et al. ∙

research

∙ 12/17/2020

Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing

We study the coarse-grained selection module in retrieval-based chatbot....

0 Tian Lan, et al. ∙

research

∙ 10/07/2020

Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar

In order to improve the accuracy and resolution for transmit beamspace m...

0 Feng Xu, et al. ∙

research

∙ 08/19/2020

TNT: Target-driveN Trajectory Prediction

Predicting the future behavior of moving agents is essential for real wo...

2 Hang Zhao, et al. ∙

research

∙ 08/07/2020

Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study

Currently, open-domain generative dialog systems have attracted consider...

1 Tian Lan, et al. ∙

research

∙ 05/21/2020

Modeling and Optimization of Latency in Erasure-coded Storage Systems

As consumers are increasingly engaged in social networking and E-commerc...

0 Vaneet Aggarwal, et al. ∙

research

∙ 04/06/2020

PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

Open-domain generative dialogue systems have attracted considerable atte...

0 Tian Lan, et al. ∙

research

∙ 03/28/2020

Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users

Voice traffic prediction is significant for network deployment optimizat...

0 Sihai Zhang, et al. ∙

research

∙ 02/18/2020

Multi-Task Learning from Videos via Efficient Inter-Frame Attention

Prior work in multi-task learning has mainly focused on predictions on a...

28 Donghyun Kim, et al. ∙

research

∙ 12/20/2019

When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

Despite the multi-turn open-domain dialogue systems have attracted more ...

0 Tian Lan, et al. ∙

research

∙ 11/01/2019

Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection

Detecting code clones is crucial in various software engineering tasks. ...

0 Hongfa Xue, et al. ∙

Tian Lan

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