2.3k citations · 6.3k across the 61 of their papers we have counts for
8 papers · 1 filter
Experience-Embedded Visual Foresight
Lin Yen-Chen, Maria Bauza, Phillip Isola
Visual foresight gives an agent a window into the future, which it can use to anticipate events before they happen and plan strategic behavior. Although impressive results have bee…
Contrastive Representation Distillation
Yonglong Tian, Dilip Krishnan, Phillip Isola
Often we wish to transfer representational knowledge from one neural network to another. Examples include distilling a large network into a smaller one, transferring knowledge from…
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
Maria Bauza, Ferran Alet, Yen-Chen Lin +4
Pushing is a fundamental robotic skill. Existing work has shown how to exploit models of pushing to achieve a variety of tasks, including grasping under uncertainty, in-hand manipu…
On the "steerability" of generative adversarial networks
Ali Jahanian, Lucy Chai, Phillip Isola
An open secret in contemporary machine learning is that many models work beautifully on standard benchmarks but fail to generalize outside the lab. This has been attributed to bias…
GANalyze: Toward Visual Definitions of Cognitive Image Properties
Lore Goetschalckx, Alex Andonian, Aude Oliva +1
We introduce a framework that uses Generative Adversarial Networks (GANs) to study cognitive properties like memorability, aesthetics, and emotional valence. These attributes are o…
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
Humans view the world through many sensory channels, e.g., the long-wavelength light channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right e…
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suarez, Yilun Du, Phillip Isola +1
The emergence of complex life on Earth is often attributed to the arms race that ensued from a huge number of organisms all competing for finite resources. We present an artificial…
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
Contemporary sensorimotor learning approaches typically start with an existing complex agent (e.g., a robotic arm), which they learn to control. In contrast, this paper investigate…