Zhangjie Cao

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Stanford University

Staff at Electric power bureau of Hangzhou, ChinaSouthwest Jiaotong University

Multi-Agent Imitation Learning with Copulas

Multi-agent imitation learning aims to train multiple agents to perform ...
07/10/2021 ∙ by Hongwei Wang, et al. ∙ 7 ∙ share

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Zoo-Tuning: Adaptive Transfer from a Zoo of Models

With the development of deep networks on various large-scale datasets, a...
06/29/2021 ∙ by Yang Shu, et al. ∙ 0 ∙ share

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Open Domain Generalization with Domain-Augmented Meta-Learning

Leveraging datasets available to learn a model with high generalization ...
04/08/2021 ∙ by Yang Shu, et al. ∙ 0 ∙ share

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Learning from Imperfect Demonstrations from Agents with Varying Dynamics

Imitation learning enables robots to learn from demonstrations. Previous...
03/10/2021 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Transfer Reinforcement Learning across Homotopy Classes

The ability for robots to transfer their learned knowledge to new tasks ...
02/10/2021 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Autonomous driving has achieved significant progress in recent years, bu...
07/01/2020 ∙ by Zhangjie Cao, et al. ∙ 7 ∙ share

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Robust Learning Through Cross-Task Consistency

Visual perception entails solving a wide set of tasks, e.g., object dete...
06/07/2020 ∙ by Amir Zamir, et al. ∙ 12 ∙ share

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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Domain adaptation aims to leverage the supervision signal of source doma...
11/21/2019 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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Few-Shot Video Classification via Temporal Alignment

There is a growing interest in learning a model which could recognize no...
06/27/2019 ∙ by Kaidi Cao, et al. ∙ 5 ∙ share

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AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

Given unpaired data from multiple domains, a key challenge is to efficie...
05/30/2019 ∙ by Aditya Grover, et al. ∙ 6 ∙ share

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Learning to Transfer Examples for Partial Domain Adaptation

Domain adaptation is critical for learning in new and unseen environment...
03/28/2019 ∙ by Zhangjie Cao, et al. ∙ 12 ∙ share

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Multi-Adversarial Domain Adaptation

Recent advances in deep domain adaptation reveal that adversarial learni...
09/04/2018 ∙ by Zhongyi Pei, et al. ∙ 0 ∙ share

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Deep Priority Hashing

Deep hashing enables image retrieval by end-to-end learning of deep repr...
09/04/2018 ∙ by Zhangjie Cao, et al. ∙ 8 ∙ share

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Partial Adversarial Domain Adaptation

Domain adversarial learning aligns the feature distributions across the ...
08/10/2018 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Transfer Adversarial Hashing for Hamming Space Retrieval

Hashing is widely applied to large-scale image retrieval due to the stor...
12/13/2017 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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3D Object Classification via Spherical Projections

In this paper, we introduce a new method for classifying 3D objects. Our...
12/12/2017 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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HashNet: Deep Learning to Hash by Continuation

Learning to hash has been widely applied to approximate nearest neighbor...
02/02/2017 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Transitive Hashing Network for Heterogeneous Multimedia Retrieval

Hashing has been widely applied to large-scale multimedia retrieval due ...
08/15/2016 ∙ by Zhangjie Cao, et al. ∙ 0 ∙ share

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Zhangjie Cao

Featured Co-authors

Philip S. Yu

Stefano Ermon

Jitendra Malik

Weinan Zhang

Yong Yu

Qiang Yang

Leonidas Guibas

Dorsa Sadigh

Adrien Gaidon

Jianmin Wang

Mingsheng Long

Multi-Agent Imitation Learning with Copulas

Zoo-Tuning: Adaptive Transfer from a Zoo of Models

Open Domain Generalization with Domain-Augmented Meta-Learning

Learning from Imperfect Demonstrations from Agents with Varying Dynamics

Transfer Reinforcement Learning across Homotopy Classes

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Robust Learning Through Cross-Task Consistency

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Few-Shot Video Classification via Temporal Alignment

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

Learning to Transfer Examples for Partial Domain Adaptation

Multi-Adversarial Domain Adaptation

Deep Priority Hashing

Partial Adversarial Domain Adaptation

Transfer Adversarial Hashing for Hamming Space Retrieval

3D Object Classification via Spherical Projections

HashNet: Deep Learning to Hash by Continuation

Transitive Hashing Network for Heterogeneous Multimedia Retrieval