Paul Michel
19 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
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ACL (5)
EMNLP (2)
ICML (2)
NAACL (2)
NIPS (2)
Top co-authors
Keywords
neural machine translation
(4)
machine translation
(3)
domain adaptation
(3)
machine translation robustness
(2)
reinforcement learning
(2)
training optimization
(1)
model adaptation
(1)
adversarial robustness
(1)
adversarial training
(1)
parallel corpus
(1)
transfer learning
(1)
signaling games
(1)
distribution shift
(1)
parameter efficient
(1)
gradient descent
(1)
covariate shift
(1)
natural language generation
(1)
kl regularization
(1)
human judgment
(1)
model security
(1)
Papers
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
ACL 2024
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
ICLR 2023
Revisiting Populations in multi-agent Communication
ICLR 2023
AANG : Automating Auxiliary Learning
ICLR 2023
Distributionally Robust Models with Parametric Likelihood Ratios
ICLR 2022
Emergent Communication: Generalization and Overfitting in Lewis Games
NIPS 2022
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
ICLR 2022
Modeling the Second Player in Distributionally Robust Optimization
ICLR 2021
Examining and Combating Spurious Features under Distribution Shift
ICML 2021
Optimizing Data Usage via Differentiable Rewards
ICML 2020
Weight Poisoning Attacks on Pretrained Models
ACL 2020
Findings of the WMT 2020 Shared Task on Machine Translation Robustness
EMNLP 2020
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
NAACL 2019
Findings of the First Shared Task on Machine Translation Robustness
ACL 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
NAACL 2019
Are Sixteen Heads Really Better than One?
NIPS 2019
MTNT: A Testbed for Machine Translation of Noisy Text
EMNLP 2018
Extreme Adaptation for Personalized Neural Machine Translation
ACL 2018
Blind Phoneme Segmentation With Temporal Prediction Errors
ACL 2017