Andrew Jaegle | DeepAI

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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...

0 Jannik Kossen, et al. ∙

∙ 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...

0 Skanda Koppula, et al. ∙

∙ 09/15/2022

Extended Intelligence

We argue that intelligence, construed as the disposition to perform task...

44 David L Barack, et al. ∙

∙ 03/17/2022

Transframer: Arbitrary Frame Prediction with Generative Models

We present a general-purpose framework for image modelling and vision ta...

0 Charlie Nash, et al. ∙

∙ 03/16/2022

Object discovery and representation networks

The promise of self-supervised learning (SSL) is to leverage large amoun...

15 Olivier J. Hénaff, et al. ∙

∙ 02/22/2022

Hierarchical Perceiver

General perception systems such as Perceivers can process arbitrary moda...

2 Joao Carreira, et al. ∙

∙ 02/15/2022

General-purpose, long-context autoregressive modeling with Perceiver AR

Real-world data is high-dimensional: a book, image, or musical performan...

2 Curtis Hawthorne, et al. ∙

∙ 11/23/2021

Towards Learning Universal Audio Representations

The ability to learn universal audio representations that can solve dive...

0 Luyu Wang, et al. ∙

∙ 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...

0 Irina Higgins, et al. ∙

∙ 11/09/2021

Which priors matter? Benchmarking models for learning latent dynamics

Learning dynamics is at the heart of many important applications of mach...

0 Aleksandar Botev, et al. ∙

∙ 07/30/2021

Perceiver IO: A General Architecture for Structured Inputs Outputs

The recently-proposed Perceiver model obtains good results on several do...

6 Andrew Jaegle, et al. ∙

∙ 07/08/2021

Imitation by Predicting Observations

Imitation learning enables agents to reuse and adapt the hard-won expert...

0 Andrew Jaegle, et al. ∙

∙ 03/04/2021

Perceiver: General Perception with Iterative Attention

Biological systems understand the world by simultaneously processing hig...

18 Andrew Jaegle, et al. ∙

∙ 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 ...

11 Karl Tuyls, et al. ∙

∙ 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...

18 Peter Karkus, et al. ∙

∙ 09/11/2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Recent work in deep reinforcement learning (RL) has produced algorithms ...

7 Mehdi Mirza, et al. ∙

∙ 09/30/2019

Hamiltonian Generative Networks

The Hamiltonian formalism plays a central role in classical and quantum ...

0 Peter Toth, et al. ∙

∙ 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...

0 David Barack, et al. ∙

∙ 04/11/2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction

Real-world image sequences can often be naturally decomposed into a smal...

4 Karl Pertsch, et al. ∙

∙ 06/25/2018

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction

Recently, much progress has been made building systems that can capture ...

0 Oleh Rybkin, et al. ∙

∙ 03/26/2018

Predicting the Future with Transformational States

An intelligent observer looks at the world and sees not only what is, bu...

0 Andrew Jaegle, et al. ∙

∙ 12/01/2016

Unsupervised learning of image motion by recomposing sequences

We propose a new method for learning a representation of image motion in...

0 Andrew Jaegle, et al. ∙

∙ 02/16/2016

Fast, Robust, Continuous Monocular Egomotion Computation

We propose robust methods for estimating camera egomotion in noisy, real...

0 Andrew Jaegle, et al. ∙

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