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Open Domain Generalization with Domain-Augmented Meta-Learning
Leveraging datasets available to learn a model with high generalization ...
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Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Imitation learning enables robots to learn from demonstrations. Previous...
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Transfer Reinforcement Learning across Homotopy Classes
The ability for robots to transfer their learned knowledge to new tasks ...
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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...
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Robust Learning Through Cross-Task Consistency
Visual perception entails solving a wide set of tasks, e.g., object dete...
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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Domain adaptation aims to leverage the supervision signal of source doma...
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Few-Shot Video Classification via Temporal Alignment
There is a growing interest in learning a model which could recognize no...
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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...
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Learning to Transfer Examples for Partial Domain Adaptation
Domain adaptation is critical for learning in new and unseen environment...
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Multi-Adversarial Domain Adaptation
Recent advances in deep domain adaptation reveal that adversarial learni...
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Deep Priority Hashing
Deep hashing enables image retrieval by end-to-end learning of deep repr...
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Partial Adversarial Domain Adaptation
Domain adversarial learning aligns the feature distributions across the ...
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Transfer Adversarial Hashing for Hamming Space Retrieval
Hashing is widely applied to large-scale image retrieval due to the stor...
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3D Object Classification via Spherical Projections
In this paper, we introduce a new method for classifying 3D objects. Our...
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HashNet: Deep Learning to Hash by Continuation
Learning to hash has been widely applied to approximate nearest neighbor...
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Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Hashing has been widely applied to large-scale multimedia retrieval due ...
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