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03/26/2023
Δ-Networks for Efficient Model Patching
Models pre-trained on large-scale datasets are often finetuned to suppor...
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12/29/2022
Offline Policy Optimization in RL with Variance Regularizaton
Learning policies from fixed offline datasets is a key challenge to scal...
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11/29/2022
SparsePose: Sparse-View Camera Pose Regression and Refinement
Camera pose estimation is a key step in standard 3D reconstruction pipel...
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11/07/2022
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
Obtaining photorealistic reconstructions of objects from sparse views is...
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09/23/2022
TeST: Test-time Self-Training under Distribution Shift
Despite their recent success, deep neural networks continue to perform p...
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11/02/2021
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Offline reinforcement learning leverages large datasets to train policie...
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07/20/2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Deep Metric Learning (DML) aims to find representations suitable for zer...
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05/31/2021
Consistency Regularization for Variational Auto-Encoders
Variational auto-encoders (VAEs) are a powerful approach to unsupervised...
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03/10/2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Offline reinforcement learning proposes to learn policies from large col...
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01/18/2021
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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11/25/2020
ImCLR: Implicit Contrastive Learning for Image Classification
Contrastive learning is an effective method for learning visual represen...
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10/19/2020
D2RL: Deep Dense Architectures in Reinforcement Learning
While improvements in deep learning architectures have played a crucial ...
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06/30/2020
Maximum Entropy Models for Fast Adaptation
Deep Neural Networks have shown great promise on a variety of downstream...
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06/23/2020
Experience Replay with Likelihood-free Importance Weights
The use of past experiences to accelerate temporal difference (TD) learn...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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03/10/2020
DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Although deep learning models have achieved state-of-the-art performance...
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03/03/2020
Curriculum By Texture
Convolutional Neural Networks (CNNs) have shown impressive performance i...
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02/19/2020
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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02/14/2020
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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10/29/2019
Small-GAN: Speeding Up GAN Training Using Core-sets
Recent work by Brock et al. (2018) suggests that Generative Adversarial ...
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03/31/2019
Variational Adversarial Active Learning
Active learning aims to develop label-efficient algorithms by sampling t...
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12/05/2018
