Memory-based Parameter Adaptation

Pablo Sprechmann , Siddhant M Jayakumar , Jack W Rae , Alexander Pritzel
arXiv: Machine Learning

86
2018
Learning Deep Generative Models of Graphs

Razvan Pascanu , Peter W. Battaglia , Chris Dyer , Yujia Li
arXiv: Learning

533
2018
Hyperbolic Attention Networks

Caglar Gulcehre , Razvan Pascanu , Misha Denil , Karl Moritz Hermann
arXiv: Neural and Evolutionary Computing

187
2018
Relational inductive biases, deep learning, and graph networks

Peter W Battaglia , Jessica B Hamrick , Victor Bapst , Alvaro Sanchez-Gonzalez
arXiv: Learning

2,499
2018
Relational recurrent neural networks

Razvan Pascanu , Daan Wierstra , Mike Chrzanowski , Adam Santoro
arXiv: Learning

217
2018
Meta-Learning with Latent Embedding Optimization

Razvan Pascanu , Simon Osindero , Raia Hadsell , Andrei A. Rusu
arXiv: Learning

1,133
2018
Adapting Auxiliary Losses Using Gradient Similarity

Yunshu Du , Wojciech M Czarnecki , Siddhant M Jayakumar , Mehrdad Farajtabar
arXiv: Machine Learning

101
2018
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL

Razvan Pascanu , Yee Whye Teh , Hyeonwoo Noh , Leonard Hasenclever
arXiv: Learning

33
2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

Tom Schaul , Razvan Pascanu , Joseph Modayil , Diana Borsa
arXiv: Learning

53
2019
Transferring Task Goals via Hierarchical Reinforcement Learning

Razvan Pascanu , Yee Whye Teh , Nicolas Heess , Saining Xie

2
2018
Meta-learning of Sequential Strategies.

Ian Osband , Matthew Botvinick , Razvan Pascanu , Yee Whye Teh
arXiv: Learning

59
2019
Advances in Optimizing Recurrent Networks

Nicolas Boulanger-Lewandowski , Yoshua Bengio , Razvan Pascanu
arXiv: Learning

630
2012
Task Agnostic Continual Learning via Meta Learning

Xu He , Jakub Sygnowski , Alexandre Galashov , Andrei A Rusu
arXiv: Machine Learning

85
2019
Sharp Minima Can Generalize For Deep Nets

Yoshua Bengio , Razvan Pascanu , Samy Bengio , Laurent Dinh
arXiv: Learning

554
2017
Learning to Navigate in Complex Environments

Razvan Pascanu , Koray Kavukcuoglu , Ross Goroshin , Misha Denil
arXiv: Artificial Intelligence

806
2016
Information asymmetry in KL-regularized RL

Razvan Pascanu , Yee Whye Teh , Guillaume Desjardins , Leonard Hasenclever
arXiv: Learning

83
2019
Sim-to-Real Robot Learning from Pixels with Progressive Nets

Razvan Pascanu , Raia Hadsell , Nicolas Heess , Andrei A. Rusu
arXiv: Robotics

539
2016
Interaction Networks for Learning about Objects, Relations and Physics

Matthew Lai , Razvan Pascanu , Koray Kavukcuoglu , Peter W. Battaglia
arXiv: Artificial Intelligence

1,263
2016
Distilling Policy Distillation

Razvan Pascanu , Simon Osindero , Max Jaderberg , Grzegorz Swirszcz
international conference on artificial intelligence and statistics 1331 -1340

81
2019
Been There, Done That: Meta-Learning with Episodic Recall

Matthew Botvinick , Razvan Pascanu , Zeb Kurth-Nelson , Charles Blundell
international conference on machine learning 4351 -4360

77
2018