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Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
We present an approach for physical imitation from human videos for robo...
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ImCLR: Implicit Contrastive Learning for Image Classification
Contrastive learning is an effective method for learning visual represen...
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D2RL: Deep Dense Architectures in Reinforcement Learning
While improvements in deep learning architectures have played a crucial ...
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Maximum Entropy Models for Fast Adaptation
Deep Neural Networks have shown great promise on a variety of downstream...
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Experience Replay with Likelihood-free Importance Weights
The use of past experiences to accelerate temporal difference (TD) learn...
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DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Although deep learning models have achieved state-of-the-art performance...
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Curriculum By Texture
Convolutional Neural Networks (CNNs) have shown impressive performance i...
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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Deep Metric Learning (DML) is arguably one of the most influential lines...
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Top-K Training of GANs: Improving Generators by Making Critics Less Critical
We introduce a simple (one line of code) modification to the Generative ...
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Small-GAN: Speeding Up GAN Training Using Core-sets
Recent work by Brock et al. (2018) suggests that Generative Adversarial ...
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Variational Adversarial Active Learning
Active learning aims to develop label-efficient algorithms by sampling t...
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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Many approaches in generalized zero-shot learning rely on cross-modal ma...
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