Paul Michel
19 papers · 2017–2024 · 6 venues · across top CS/AI venues
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neural machine translation
(4)
reinforcement learning
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distributionally robust optimization
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machine translation
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emergent communication
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domain adaptation
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transfer learning
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multi-task learning
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machine translation robustness
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distribution shift
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adversarial training
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parallel corpus
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Papers
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
ACL 2024
AANG : Automating Auxiliary Learning
ICLR 2023
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
ICLR 2023
Revisiting Populations in multi-agent Communication
ICLR 2023
Distributionally Robust Models with Parametric Likelihood Ratios
ICLR 2022
Emergent Communication: Generalization and Overfitting in Lewis Games
NeurIPS 2022
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
ICLR 2022
Examining and Combating Spurious Features under Distribution Shift
ICML 2021
Modeling the Second Player in Distributionally Robust Optimization
ICLR 2021
Findings of the WMT 2020 Shared Task on Machine Translation Robustness
EMNLP 2020
Optimizing Data Usage via Differentiable Rewards
ICML 2020
Weight Poisoning Attacks on Pretrained Models
ACL 2020
Are Sixteen Heads Really Better than One?
NeurIPS 2019
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
Extreme Adaptation for Personalized Neural Machine Translation
ACL 2018
MTNT: A Testbed for Machine Translation of Noisy Text
EMNLP 2018
Blind Phoneme Segmentation With Temporal Prediction Errors
ACL 2017