Jian Peng

发表

Action-depedent Control Variates for Policy Optimization via Stein's Identity

Dengyong Zhou, Qiang Liu, Yihao Feng, 2017 .

Stein Variational Policy Gradient pdf

Yang Liu, Jian Peng, Qiang Liu, 2017, UAI.

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling pdf

Xiang Ren, Jingbo Shang, Jiawei Han, 2018, EMNLP.

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening pdf

Yang Liu, Jian Peng, Alexander G. Schwing, 2016, ICLR.

Knowledge Flow: Improve Upon Your Teachers

A. Schwing, Jian Peng, Iou-Jen Liu, 2019, ICLR.

Approximation Gradient Error Variance Reduced Optimization

Jian Peng, Yang Liu, Wei-Ye Zhao, 2018 .

Is Self-Supervised Learning More Robust Than Supervised Learning?

Haoran Tang, Jian Peng, Yu-Xiong Wang, 2022, ArXiv.

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

Jian Peng, Jianzhu Ma, Yitao Liang, 2022, NeurIPS.

A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization pdf

Jian Peng, Matus Telgarsky, Chao Zhang, 2019, ICML.

Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping

Yang Liu, Jian Peng, Alexander G. Schwing, 2018, ICLR.

Exploration via Hindsight Goal Generation

Yuan Zhou, Qiang Liu, Jian Peng, 2019, NeurIPS.

Learning Long-Term Reward Redistribution via Randomized Return Decomposition

Jian Peng, Yuanshuo Zhou, Zhizhou Ren, 2021, ICLR.

Learning to Explore via Meta-Policy Gradient

Qiang Liu, Jian Peng, Liang Zhao, 2018, ICML.

Imitation Learning from Observations under Transition Model Disparity

Jian Peng, Jian Peng, Tanmay Gangwani, 2022, ICLR.

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

Jian Peng, Jianzhu Ma, Shitong Luo, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer pdf

Lei Zhang, Yuanyi Zhong, Jian Peng, 2020, ECCV.

Knowledge Flow: Improve Upon Your Teachers pdf

Jian Peng, Alexander G. Schwing, Iou-Jen Liu, 2019, ICLR.

Empower Sequence Labeling with Task-Aware Neural Language Model

Xiang Ren, Jingbo Shang, Jiawei Han, 2017, AAAI.

Energy-efficient Amortized Inference with Cascaded Deep Classifiers pdf

Yang Liu, Qiang Liu, Jian Peng, 2017, IJCAI.

Off-Policy Reinforcement Learning with Delayed Rewards pdf

Jian Peng, Zhizhou Ren, Beining Han, 2021, ICML.

Stein Variational Inference for Discrete Distributions

Qiang Liu, Xianglong Liu, Lorenzo Torresani, 2020, AISTATS.

Hindsight Foresight Relabeling for Meta-Reinforcement Learning pdf

Tanmay Gangwani, Jian Peng, Michael Wan, 2021, ICLR.

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning pdf

Xi Chen, Qiang Liu, Jian Peng, 2019, ArXiv.

Shrinkage-based Bias-Variance Trade-off for Deep Reinforcement Learning

Hao Liu, Qiang Liu, Jian Peng, 2018 .

emrQA: A Large Corpus for Question Answering on Electronic Medical Records pdf

Jian Peng, Preethi Raghavan, Jennifer J. Liang, 2018, EMNLP.

Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation pdf

Haifeng Li, Tao Lin, Jiang Hao, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Overcoming Catastrophic Forgetting by Soft Parameter Pruning pdf

Qing Zhu, Haifeng Li, Min Deng, 2018, ArXiv.

√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank

Jian Peng, Yining Wang, Yuan Zhou, 2019, COLT.

Learning Neural Generative Dynamics for Molecular Conformation Generation

Yoshua Bengio, Jian Peng, Jian Tang, 2021, ICLR.

Policy Optimization by Genetic Distillation

Jian Peng, Tanmay Gangwani, Jian Peng, 2017, ICLR.

Stochastic Variance Reduction for Deep Q-learning

Jian Peng, Yang Liu, Wei-Ye Zhao, 2019, AAMAS.

Genetic Policy Optimization pdf

Jian Peng, Tanmay Gangwani, Jian Peng, 2017, ICLR 2018.

Stochastic Variance Reduction for Policy Gradient Estimation pdf

Jian Peng, Qiang Liu, Tianbing Xu, 2017, ArXiv.

Action-dependent Control Variates for Policy Optimization via Stein Identity

Hao Liu, Qiang Liu, Jian Peng, 2018, ICLR.

Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization

Jian Peng, ChengYue Gong, Qiang Liu, 2019, ICML.

Learning Neural Generative Dynamics for Molecular Conformation Generation

Y. Bengio, Jian Peng, Shitong Luo, 2021, ICLR.

Characterizing Aacks on Deep Reinforcement Learning

Jian Peng, Xinlei Pan, Chaowei Xiao, 2022 .

DAP: Detection-Aware Pre-training with Weak Supervision

Lijuan Wang, Jian Peng, Yuanyi Zhong, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Sample-efficient Policy Optimization with Stein Control Variate pdf

Hao Liu, Jian Peng, Qiang Liu, 2017, ArXiv.

Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion pdf

Jian Peng, Zhaoran Wang, Yi Chen, 2020, ICLR.