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Yann Dubois
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Cited by
Year
Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
ICLR, 2020
822020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
NeurIPS, 2020
292020
Lossy Compression for Lossless Prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
NeurIPS, 2021
282021
Learning Optimal Representations with the Decodable Information Bottleneck
Y Dubois, D Kiela, DJ Schwab, R Vedantam
NeurIPS, 2020
242020
Optimal Representations for Covariate Shifts
Y Ruan*, Y Dubois*, CJ Maddison
ICLR, 2021
202021
Neural process family
Y Dubois, J Gordon, AY Foong
yanndubs.github.io/Neural-Process-Family, 2020
152020
Location Attention for Extrapolation to Longer Sequences
Y Dubois, G Dagan, D Hupkes, E Bruni
ACL, 2019
112019
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
S Santurkar, Y Dubois, R Taori, P Liang, T Hashimoto
ICLR, 2022
42022
Improving Self-Supervised Learning by Characterizing Idealized Representations
Y Dubois, T Hashimoto, S Ermon, P Liang
NeurIPS, 2022
32022
Learning Instance-Specific Data Augmentations
N Miao, E Mathieu, Y Dubois, T Rainforth, YW Teh, A Foster, H Kim
arXiv preprint arXiv:2206.00051, 2022
2022
Conditional Neural Processes for Semi-Supervised Learning
Y Dubois, RE Turner
Understanding Disentangling in VAE
Y Dubois, A Kastanos, D Lines, B Melman
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Articles 1–12