Experience replay for continual learning D Rolnick, A Ahuja, J Schwarz, TP Lillicrap, G Wayne arXiv preprint arXiv:1811.11682, 2018 | 986 | 2018 |
Progress & Compress: A scalable framework for continual learning J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ... arXiv preprint arXiv:1805.06370, 2018 | 899 | 2018 |
The narrativeqa reading comprehension challenge T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ... Transactions of the Association for Computational Linguistics 6, 317-328, 2018 | 681 | 2018 |
Neural processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... arXiv preprint arXiv:1807.01622, 2018 | 593 | 2018 |
Attentive neural processes H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ... arXiv preprint arXiv:1901.05761, 2019 | 440 | 2019 |
A Recurrent Variational Autoencoder for Human Motion Synthesis I Habibie, D Holden, J Schwarz, J Yearsley, T Komura BMVC 7, 1, 2017 | 190* | 2017 |
Functional regularisation for continual learning with gaussian processes MK Titsias, J Schwarz, AGG Matthews, R Pascanu, YW Teh arXiv preprint arXiv:1901.11356, 2019 | 162 | 2019 |
Multiplicative interactions and where to find them SM Jayakumar, WM Czarnecki, J Menick, J Schwarz, J Rae, S Osindero, ... International conference on learning representations, 2020 | 128 | 2020 |
Information asymmetry in KL-regularized RL A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ... arXiv preprint arXiv:1905.01240, 2019 | 105 | 2019 |
Powerpropagation: A sparsity inducing weight reparameterisation J Schwarz, S Jayakumar, R Pascanu, PE Latham, Y Teh Advances in neural information processing systems 34, 28889-28903, 2021 | 54 | 2021 |
Empirical Evaluation of Neural Process Objectives TA Le, H Kim, M Garnelo, D Rosenbaum, J Schwarz, YW Teh Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018 | 46 | 2018 |
Behavior priors for efficient reinforcement learning D Tirumala, A Galashov, H Noh, L Hasenclever, R Pascanu, J Schwarz, ... Journal of Machine Learning Research 23 (221), 1-68, 2022 | 33 | 2022 |
Meta-learning surrogate models for sequential decision making A Galashov, J Schwarz, H Kim, M Garnelo, D Saxton, P Kohli, SM Eslami, ... arXiv preprint arXiv:1903.11907, 2019 | 31 | 2019 |
Spatial functa: Scaling functa to imagenet classification and generation M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim arXiv preprint arXiv:2302.03130, 2023 | 20 | 2023 |
Meta-learning sparse compression networks JR Schwarz, YW Teh arXiv preprint arXiv:2205.08957, 2022 | 18 | 2022 |
Modality-agnostic variational compression of implicit neural representations JR Schwarz, J Tack, YW Teh, J Lee, J Shin arXiv preprint arXiv:2301.09479, 2023 | 14 | 2023 |
Learning large-scale neural fields via context pruned meta-learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz Advances in Neural Information Processing Systems 36, 2024 | 7* | 2024 |
Empowering biomedical discovery with ai agents S Gao, A Fang, Y Huang, V Giunchiglia, A Noori, JR Schwarz, Y Ektefaie, ... arXiv preprint arXiv:2404.02831, 2024 | 6 | 2024 |
Online adaptation of language models with a memory of amortized contexts J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz arXiv preprint arXiv:2403.04317, 2024 | 6 | 2024 |
On the correspondence between replicator dynamics and assignment flows B Boll, J Schwarz, C Schnörr International Conference on Scale Space and Variational Methods in Computer …, 2021 | 6 | 2021 |