Andrei A. Rusu

According to our database1, Andrei A. Rusu authored at least 24 papers between 2010 and 2024.

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Bibliography

2024
DiPaCo: Distributed Path Composition.
CoRR, 2024

Asynchronous Local-SGD Training for Language Modeling.
CoRR, 2024

2023
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
J. Mach. Learn. Res., 2023

DiLoCo: Distributed Low-Communication Training of Language Models.
CoRR, 2023


2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
CoRR, 2022

Hindering Adversarial Attacks with Implicit Neural Representations.
Proceedings of the International Conference on Machine Learning, 2022

Probing Transfer in Deep Reinforcement Learning without Task Engineering.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2020
Meta-Learning with Warped Gradient Descent.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Meta-Learning with Warped Gradient Descent.
CoRR, 2019

Task Agnostic Continual Learning via Meta Learning.
CoRR, 2019

Continual Unsupervised Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Learning with Latent Embedding Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills.
Proceedings of the Robotics: Science and Systems XIV, 2018

Meta-learning by the baldwin effect.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks.
CoRR, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Sim-to-Real Robot Learning from Pixels with Progressive Nets.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Progressive Neural Networks.
CoRR, 2016

Policy Distillation.
Proceedings of the 4th International Conference on Learning Representations, 2016

Overcoming catastrophic forgetting in neural networks.
CoRR, 2016

2015
Human-level control through deep reinforcement learning.
Nat., 2015

2010
HyperNEAT for Locomotion Control in Modular Robots.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2010

Rank Distance Aggregation as a Fixed Classifier Combining Rule for Text Categorization.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2010


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