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2020 – today
- 2024
[j1]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. Trans. Mach. Learn. Res. 2024 (2024)- [c7]Simran Khanuja, Srinivas Gowriraj, Lucio M. Dery, Graham Neubig:
DeMuX: Data-efficient Multilingual Learning. NAACL-HLT 2024: 7423-7436 - [i10]Lucio M. Dery, Steven Kolawole, Jean-François Kagey, Virginia Smith, Graham Neubig, Ameet Talwalkar:
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes. CoRR abs/2402.05406 (2024) - 2023
- [c6]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG : Automating Auxiliary Learning. ICLR 2023 - [c5]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. ICML 2023: 31030-31056 - [i9]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. CoRR abs/2302.05738 (2023) - [i8]Simran Khanuja, Srinivas Gowriraj, Lucio M. Dery, Graham Neubig:
DeMuX: Data-efficient Multilingual Learning. CoRR abs/2311.06379 (2023) - [i7]Lucio M. Dery, David Grangier, Awni Hannun:
Transfer Learning for Structured Pruning under Limited Task Data. CoRR abs/2311.06382 (2023) - [i6]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. CoRR abs/2312.03151 (2023) - 2022
- [c4]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. ICLR 2022 - [i5]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG: Automating Auxiliary Learning. CoRR abs/2205.14082 (2022) - [i4]Lucio M. Dery, Abram L. Friesen, Nando de Freitas, Marc'Aurelio Ranzato, Yutian Chen:
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer. CoRR abs/2210.04971 (2022) - 2021
- [c3]Lucio M. Dery, Yann N. Dauphin, David Grangier:
Auxiliary Task Update Decomposition: the Good, the Bad and the neutral. ICLR 2021 - [i3]Lucio M. Dery, Yann N. Dauphin, David Grangier:
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral. CoRR abs/2108.11346 (2021) - [i2]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. CoRR abs/2109.07437 (2021)
2010 – 2019
- 2018
- [c2]De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles
:
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. CVPR 2018: 5948-5957 - [c1]Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman:
Audio to Body Dynamics. CVPR 2018: 7574-7583 - 2017
- [i1]Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman:
Audio to Body Dynamics. CoRR abs/1712.09382 (2017)
Coauthor Index
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