Paul Michel - RankMe

43 papers A* 12Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	CodeGemma: Open Code Models Based on Gemma. CoRR Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman
2024	—	`conf`	Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning. ACL (Findings) Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024	J	`jnl`	Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning. CoRR Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024	J	`jnl`	Language Evolution with Deep Learning. CoRR Mathieu Rita, Paul Michel, Rahma Chaabouni, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2023	A*	`conf`	AANG : Automating Auxiliary Learning. ICLR Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
2023	J	`jnl`	Curriculum Learning with Adam: The Devil Is in the Wrong Details. CoRR Lucas Weber, Jaap Jumelet, Paul Michel, Elia Bruni, Dieuwke Hupkes
2023	A*	`conf`	Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication. ICLR Valentin Taillandier, Dieuwke Hupkes, Benoît Sagot, Emmanuel Dupoux, Paul Michel
2023	A*	`conf`	Revisiting Populations in multi-agent Communication. ICLR Paul Michel, Mathieu Rita, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou
2022	J	`jnl`	AANG: Automating Auxiliary Learning. CoRR Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
2022	A*	`conf`	Distributionally Robust Models with Parametric Likelihood Ratios. ICLR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2022	J	`jnl`	Distributionally Robust Models with Parametric Likelihood Ratios. CoRR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2022	A*	`conf`	Emergent Communication: Generalization and Overfitting in Lewis Games. NeurIPS Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022	J	`jnl`	Emergent Communication: Generalization and Overfitting in Lewis Games. CoRR Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022	A*	`conf`	Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. ICLR Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig
2021	J	`jnl`	Balancing Average and Worst-case Accuracy in Multitask Learning. CoRR Paul Michel, Sebastian Ruder, Dani Yogatama
2021	A*	`conf`	Examining and Combating Spurious Features under Distribution Shift. ICML Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021	J	`jnl`	Examining and Combating Spurious Features under Distribution Shift. CoRR Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021	J	`jnl`	Learning Neural Models for Natural Language Processing in the Face of Distributional Shift. CoRR Paul Michel
2021	A*	`conf`	Modeling the Second Player in Distributionally Robust Optimization. ICLR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2021	J	`jnl`	Modeling the Second Player in Distributionally Robust Optimization. CoRR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2021	J	`jnl`	Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. CoRR Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig
2020	—	`conf`	Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li
2020	A*	`conf`	Optimizing Data Usage via Differentiable Rewards. ICML Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig
2020	J	`jnl`	Weight Poisoning Attacks on Pre-trained Models. CoRR Keita Kurita, Paul Michel, Graham Neubig
2020	A*	`conf`	Weight Poisoning Attacks on Pretrained Models. ACL Keita Kurita, Paul Michel, Graham Neubig
2019	A*	`conf`	Are Sixteen Heads Really Better than One? NeurIPS Paul Michel, Omer Levy, Graham Neubig
2019	J	`jnl`	Are Sixteen Heads Really Better than One? CoRR Paul Michel, Omer Levy, Graham Neubig
2019	—	`conf`	Findings of the First Shared Task on Machine Translation Robustness. WMT (2) Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	J	`jnl`	Findings of the First Shared Task on Machine Translation Robustness. CoRR Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	—	`conf`	On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. NAACL-HLT (1) Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino
2019	J	`jnl`	On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. CoRR Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino
2019	J	`jnl`	Optimizing Data Usage via Differentiable Rewards. CoRR Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime G. Carbonell
2019	—	`conf`	compare-mt: A Tool for Holistic Comparison of Language Generation Systems. NAACL-HLT (Demonstrations) Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang
2019	J	`jnl`	compare-mt: A Tool for Holistic Comparison of Language Generation Systems. CoRR Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang
2018	—	`conf`	Extreme Adaptation for Personalized Neural Machine Translation. ACL (2) Paul Michel, Graham Neubig
2018	J	`jnl`	Extreme Adaptation for Personalized Neural Machine Translation. CoRR Paul Michel, Graham Neubig
2018	A*	`conf`	MTNT: A Testbed for Machine Translation of Noisy Text. EMNLP Paul Michel, Graham Neubig
2018	J	`jnl`	MTNT: A Testbed for Machine Translation of Noisy Text. CoRR Paul Michel, Graham Neubig
2017	—	`conf`	Blind Phoneme Segmentation With Temporal Prediction Errors. ACL (Student Research Workshop) Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux
2017	J	`jnl`	Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations. CoRR Paul Michel, Abhilasha Ravichander, Shruti Rijhwani
2017	—	`conf`	Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations. Rep4NLP@ACL Paul Michel, Abhilasha Ravichander, Shruti Rijhwani
2017	J	`jnl`	DyNet: The Dynamic Neural Network Toolkit. CoRR Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
2016	J	`jnl`	Improving Phoneme segmentation with Recurrent Neural Networks. CoRR Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux