activity
20162022
most citedTransframer: Arbitrary Frame Prediction with Generative Models

18 citations · 34 across the 7 of their papers we have counts for

collaborators

14 papers

cs.CV20225 cited

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods

Skanda Koppula, Yazhe Li, Evan Shelhamer +5

Self-supervised methods have achieved remarkable success in transfer learning, often achieving the same or better accuracy than supervised pre-training. Most prior work has done so…

cs.AI20222 cited

Extended Intelligence

David L Barack, Andrew Jaegle

We argue that intelligence, construed as the disposition to perform tasks successfully, is a property of systems composed of agents and their contexts. This is the thesis of extend…

cs.CV202218 cited

Transframer: Arbitrary Frame Prediction with Generative Models

Charlie Nash, João Carreira, Jacob Walker +4

We present a general-purpose framework for image modelling and vision tasks based on probabilistic frame prediction. Our approach unifies a broad range of tasks, from image segment…

cs.LG20211 cited

Imitation by Predicting Observations

Andrew Jaegle, Yury Sulsky, Arun Ahuja +3

Imitation learning enables agents to reuse and adapt the hard-won expertise of others, offering a solution to several key challenges in learning behavior. Although it is easy to ob…

cs.CV2021

Perceiver: General Perception with Iterative Attention

Andrew Jaegle, Felix Gimeno, Andrew Brock +3

Biological systems perceive the world by simultaneously processing high-dimensional inputs from modalities as diverse as vision, audition, touch, proprioception, etc. The perceptio…

cs.AI2020

Game Plan: What AI can do for Football, and What Football can do for AI

Karl Tuyls, Shayegan Omidshafiei, Paul Muller +33

The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball,…