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11/13/2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Existing imitation learning works mainly assume that the demonstrator wh...
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09/16/2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Multimodal demonstrations provide robots with an abundance of informatio...
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06/08/2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Transfer learning aims to leverage knowledge from pre-trained models to ...
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04/15/2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
Deep learning techniques for point clouds have achieved strong performan...
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03/14/2022
From Big to Small: Adaptive Learning to Partial-Set Domains
Domain adaptation targets at knowledge acquisition and dissemination fro...
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03/08/2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Multi-agent interactions are important to model for forecasting other ag...
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03/02/2022
Weakly Supervised Correspondence Learning
Correspondence learning is a fundamental problem in robotics, which aims...
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02/07/2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
Existing learning from demonstration algorithms usually assume access to...
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10/28/2021
Learning Feasibility to Imitate Demonstrators with Different Dynamics
The goal of learning from demonstrations is to learn a policy for an age...
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10/27/2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Most existing imitation learning approaches assume the demonstrations ar...
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10/14/2021
Omni-Training for Data-Efficient Deep Learning
Learning a generalizable deep model from a few examples in a short time ...
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07/10/2021
Multi-Agent Imitation Learning with Copulas
Multi-agent imitation learning aims to train multiple agents to perform ...
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06/29/2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
With the development of deep networks on various large-scale datasets, a...
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04/08/2021
Open Domain Generalization with Domain-Augmented Meta-Learning
Leveraging datasets available to learn a model with high generalization ...
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03/10/2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Imitation learning enables robots to learn from demonstrations. Previous...
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02/10/2021
Transfer Reinforcement Learning across Homotopy Classes
The ability for robots to transfer their learned knowledge to new tasks ...
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07/01/2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Autonomous driving has achieved significant progress in recent years, bu...
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06/07/2020
Robust Learning Through Cross-Task Consistency
Visual perception entails solving a wide set of tasks, e.g., object dete...
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11/21/2019
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Domain adaptation aims to leverage the supervision signal of source doma...
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06/27/2019
Few-Shot Video Classification via Temporal Alignment
There is a growing interest in learning a model which could recognize no...
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05/30/2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Given unpaired data from multiple domains, a key challenge is to efficie...
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03/28/2019
Learning to Transfer Examples for Partial Domain Adaptation
Domain adaptation is critical for learning in new and unseen environment...
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09/04/2018
Multi-Adversarial Domain Adaptation
Recent advances in deep domain adaptation reveal that adversarial learni...
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09/04/2018
Deep Priority Hashing
Deep hashing enables image retrieval by end-to-end learning of deep repr...
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08/10/2018
Partial Adversarial Domain Adaptation
Domain adversarial learning aligns the feature distributions across the ...
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12/13/2017
Transfer Adversarial Hashing for Hamming Space Retrieval
Hashing is widely applied to large-scale image retrieval due to the stor...
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12/12/2017
3D Object Classification via Spherical Projections
In this paper, we introduce a new method for classifying 3D objects. Our...
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02/02/2017
HashNet: Deep Learning to Hash by Continuation
Learning to hash has been widely applied to approximate nearest neighbor...
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08/15/2016
