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06/01/2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
We investigate the potential of learning visual representations using sy...
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04/03/2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
In goal-reaching reinforcement learning (RL), the optimal value function...
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12/12/2022
MIRA: Mental Imagery for Robotic Affordances
Humans form mental images of 3D scenes to support counterfactual imagina...
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04/14/2022
Any-resolution Training for High-resolution Image Synthesis
Generative models operate at fixed resolution, even though natural image...
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03/31/2022
Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models
Prompting has recently become a popular paradigm for adapting language m...
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03/18/2021
The Low-Rank Simplicity Bias in Deep Networks
Modern deep neural networks are highly over-parameterized compared to th...
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12/10/2020
iNeRF: Inverting Neural Radiance Fields for Pose Estimation
We present iNeRF, a framework that performs pose estimation by "invertin...
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05/20/2020
What makes for good views for contrastive learning
Contrastive learning between multiple views of the data has recently ach...
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06/13/2019
Contrastive Multiview Coding
Humans view the world through many sensory channels, e.g., the long-wave...
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02/13/2018
Evolved Policy Gradients
We propose a meta-learning approach for learning gradient-based reinforc...
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03/30/2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Image-to-image translation is a class of vision and graphics problems wh...
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11/21/2016
Image-to-Image Translation with Conditional Adversarial Networks
We investigate conditional adversarial networks as a general-purpose sol...
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03/28/2016
