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11/09/2022
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
We introduce a challenging decision-making task that we call active acqu...
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09/30/2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Self-supervised methods have achieved remarkable success in transfer lea...
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09/15/2022
Extended Intelligence
We argue that intelligence, construed as the disposition to perform task...
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03/17/2022
Transframer: Arbitrary Frame Prediction with Generative Models
We present a general-purpose framework for image modelling and vision ta...
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03/16/2022
Object discovery and representation networks
The promise of self-supervised learning (SSL) is to leverage large amoun...
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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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02/15/2022
General-purpose, long-context autoregressive modeling with Perceiver AR
Real-world data is high-dimensional: a book, image, or musical performan...
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11/23/2021
Towards Learning Universal Audio Representations
The ability to learn universal audio representations that can solve dive...
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11/10/2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
A recently proposed class of models attempts to learn latent dynamics fr...
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11/09/2021
Which priors matter? Benchmarking models for learning latent dynamics
Learning dynamics is at the heart of many important applications of mach...
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07/30/2021
Perceiver IO: A General Architecture for Structured Inputs Outputs
The recently-proposed Perceiver model obtains good results on several do...
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07/08/2021
Imitation by Predicting Observations
Imitation learning enables agents to reuse and adapt the hard-won expert...
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03/04/2021
Perceiver: General Perception with Iterative Attention
Biological systems understand the world by simultaneously processing hig...
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11/18/2020
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning ...
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10/03/2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Intelligent robots need to achieve abstract objectives using concrete, s...
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09/11/2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
Recent work in deep reinforcement learning (RL) has produced algorithms ...
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09/30/2019
Hamiltonian Generative Networks
The Hamiltonian formalism plays a central role in classical and quantum ...
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04/18/2019
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding
In a recent article, Brette argues that coding as a concept is inappropr...
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04/11/2019
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
Real-world image sequences can often be naturally decomposed into a smal...
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06/25/2018
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction
Recently, much progress has been made building systems that can capture ...
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03/26/2018
Predicting the Future with Transformational States
An intelligent observer looks at the world and sees not only what is, bu...
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12/01/2016
Unsupervised learning of image motion by recomposing sequences
We propose a new method for learning a representation of image motion in...
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02/16/2016