Zhuang Liu

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All published works

Action	Title	Year	Authors
+	Dropout Reduces Underfitting	2023	Zhuang Liu Zhiqiu Xu Joseph W. Jin Zhiqiang Shen Trevor Darrell
+	A Simple and Effective Pruning Approach for Large Language Models	2023	Ming-Jie Sun Zhuang Liu Anna Bair J. Zico Kolter
+	A New Meta-Baseline for Few-Shot Learning	2020	Yinbo Chen Xiaolong Wang Zhuang Liu Huijuan Xu Trevor Darrell
+ PDF Chat	Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning	2020	Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang
+	Regularization Matters in Policy Optimization	2019	Zhuang Liu Xuanlin Li Bingyi Kang Trevor Darrell
+	Test-Time Training with Self-Supervision for Generalization under Distribution Shifts	2019	Yu Sun Xiaolong Wang Zhuang Liu J. J. Miller Alexei A. Efros Moritz Hardt

Common Coauthors

Coauthor	Papers Together
Trevor Darrell	4
Xiaolong Wang	3
Yinbo Chen	2
J. J. Miller	1
Bingyi Kang	1
Moritz Hardt	1
Ming-Jie Sun	1
Zhiqiu Xu	1
Alexei A. Efros	1
J. Zico Kolter	1
Huijuan Xu	1
Huijuan Xu	1
Zhiqiang Shen	1
Anna Bair	1
Joseph W. Jin	1
Yu Sun	1
Xuanlin Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning	2016	Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel	1
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	1
+	A unified view of entropy-regularized Markov decision processes	2017	Gergely Neu Anders Jönsson Vicenç Gómez	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments	2017	Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel	1
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	1
+	A Simple Neural Attentive Meta-Learner	2017	Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Meta-Reinforcement Learning of Structured Exploration Strategies	2018	Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine	1
+ PDF Chat	Low-Shot Learning with Imprinted Weights	2018	H. Jerry Qi Matthew A. Brown David Lowe	1
+	A Study on Overfitting in Deep Reinforcement Learning	2018	Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio	1
+ PDF Chat	Dynamic Few-Shot Visual Learning Without Forgetting	2018	Spyros Gidaris Nikos Komodakis	1
+	A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning	2018	Amy Zhang Nicolas Ballas Joëlle Pineau	1
+	Generalization and Regularization in DQN	2018	Jesse Farebrother Marlos C. Machado Michael Bowling	1
+	Assessing Generalization in Deep Reinforcement Learning	2018	Charles Packer Katelyn Gao Jernej Kos Philipp Krähenbühl Vladlen Koltun Dawn Song	1
+	Quantifying Generalization in Reinforcement Learning	2018	Karl Cobbe Oleg Klimov Chris Hesse Taehoon Kim John Schulman	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Investigating Generalisation in Continuous Deep Reinforcement Learning	2019	Chenyang Zhao Olivier Sigaud Freek Stulp Timothy M. Hospedales	1
+ PDF Chat	TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning	2019	Xin Wang Fisher Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	1
+	Deep Reinforcement Learning That Matters	2017	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	1
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Meta-Transfer Learning for Few-Shot Learning	2019	Qianru Sun Yaoyao Liu Tat‐Seng Chua Bernt Schiele	1
+	Structured Control Nets for Deep Reinforcement Learning	2018	Mario Srouji Jian Zhang Ruslan Salakhutdinov	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	1
+	Robust Deep Reinforcement Learning with Adversarial Attacks	2018	Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary	1
+	Meta-Learning with Latent Embedding Optimization	2018	Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero Raia Hadsell	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Reinforcement Learning with Augmented Data	2020	Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel Aravind Srinivas	1
+	Meta Networks	2017	Tsendsuren Munkhdalai Hong Yu	1
+ PDF Chat	Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer	2020	René Ranftl Katrin Lasinger David Hafner Konrad Schindler Vladlen Koltun	1
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	1
+ PDF Chat	TD-regularized actor-critic methods	2019	Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan	1