Yann Dubois
14 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (26)
πΊοΈ
Taxonomy Completionist
(26)
π
Renaissance Researcher
(5)
π
Triple Crown
π₯
Unstoppable
(6)
π
Century Club
(14)
β
The Questioner
Conferences
NIPS (5)
ICLR (4)
ICML (3)
ACL (1)
CVPR (1)
Top co-authors
Keywords
representation learning
(4)
self-supervised learning
(3)
data augmentation
(2)
linear probing
(2)
information bottleneck
(1)
preference learning
(1)
reinforcement learning
(1)
generalization gap
(1)
natural language processing
(1)
supervised learning
(1)
instruction following
(1)
reinforcement learning from human feedback
(1)
maximum likelihood
(1)
human feedback
(1)
recurrent neural network
(1)
convolutional neural network
(1)
generalization bound
(1)
reward model
(1)
attention mechanism
(1)
variational inference
(1)
Papers
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
ICML 2025
Apollo: An Exploration of Video Understanding in Large Multimodal Models
CVPR 2025
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
ICLR 2024
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
NIPS 2023
Is a Caption Worth a Thousand Images? A Study on Representation Learning
ICLR 2023
Evaluating Self-Supervised Learning via Risk Decomposition
ICML 2023
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
Improving Self-Supervised Learning by Characterizing Idealized Representations
NIPS 2022
Optimal Representations for Covariate Shift
ICLR 2022
Lossy Compression for Lossless Prediction
NIPS 2021
Convolutional Conditional Neural Processes
ICLR 2020
Learning Optimal Representations with the Decodable Information Bottleneck
NIPS 2020
Location Attention for Extrapolation to Longer Sequences
ACL 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NIPS 2020