Representation learning

Publication

Reasoning-Modulated Representations

Petar Veličković, Matko Bošnjak, Thomas Kipf *, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

LoG

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Semantic Exploration from Language Abstractions and Pretrained Representations

Allison Tam, Neil Rabinowitz, Andrew Lampinen, Nick Roy, Stephanie Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill

NeurIPS

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Publication

Self-supervised video pretraining yields strong image representations

Nikhil Parthasarathy, Ali Eslami, Joao Carreira, Olivier Henaff

arXiv

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Palm up: Playing in the Latent Manifold for Unsupervised Pretraining

Hao Liu *, Tom Zahavy, Vlad Mnih, Satinder Baveja

NeurIPS

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Publication

Object discovery and representation networks

Olivier Henaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Drew Jaegle, Andrew Zisserman, Joao Carreira, Relja Arandjelovic

ECCV

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Publication

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering

Elise van der Pol *, Ian Gemp, Yoram Bachrach, Richard Everett

ICML Workshop

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Publication

BYOL-Explore: Exploration with Bootstrapped Prediction

Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pîslar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

arXiv

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Large-scale representation learning on graphs via bootstrapping

Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou *, Eva Dyer *, Remi Munos, Petar Veličković, Michal Valko

ICLR

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Publication

Feature and Parameter Selection in Stochastic Linear Bandits

Ahmadreza Moradipari *, Berkay Turan *, Yasin Abbasi Yadkori, Mahnoosh Alizadeh *, Mohammad Ghavamzadeh *

ICML

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Publication

On the Role of Neural Collapse in Transfer Learning

Andras Gyorgy, Marcus Hutter

ICLR

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Publication

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

Irina Higgins, Drew Jaegle, Peter Wirnsberger, Alex Botev

NeurIPS

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Publication

Neural Distance Embeddings for Biological Sequences

Gabriele Corso *, Rex Ying *, Michal Pándy *, Petar Veličković, Jure Leskovec *, Pietro Liò *

arXiv

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Publication

PARTS: Unsupervised segmentation with slots, attention and independence maximization

Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo Jimenez Rezende

ICCV

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Publication

Kernel-based reinforcement Learning: A finite-time analysis

O Domingues *, Pierre Menard *, Matteo Pirotta *, Emilie Kaufmann *, Michal Valko

ICML

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Publication

Manipulator-Independent Representations for Visual Imitation

Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis

RSS

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On The Effect of Auxiliary Tasks on Representation Dynamics

Clare Lyle *, Mark Rowland, Georg Ostrovski, Will Dabney

AISTATS

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Publication

Variable-rate discrete representation learning

Sander Dieleman, Charlie Nash, Jesse Engel *, Karen Simonyan

arXiv

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Representation learning for improved interpretability and classification accuracy of clinical factors from EEG

Garrett Honke *, Irina Higgins, Nina Thigpen *, Vladimir Miskovic *, Katie Link *, Sunny Duan *, Pramod Gupta *, Julia Klawohn *, Greg Hajcak *

ICLR

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Publication

Multi-Format Contrastive Learning of Audio Representations

Luyu Wang, Aäron van den Oord

NeurIPS

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Publication

BYOL works even without batch statistics

Pierre Richemond *, Jean-bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andy Brock, Sam Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko

NeurIPS Workshop

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Publication

Balance Regularized Neural Network Models for Causal Effect Estimation

Mehrdad Farajtabar, Andrew Lee, Vishal Gupta, Peter Dolan, Martin Szummer

NeurIPS Workshop

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Publication

Sampling from a k-DPP without looking at all items

Daniele Calandriello, Michal Dereziński *, Michal Valko

NeurIPS

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