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ORCIDChristophe Dupuy
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2020 – today
- 2024
[c13]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. EMNLP 2024: 703-718- 2023
- [c12]Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta:
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. ACL (2) 2023: 1512-1521 - [c11]Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta:
Coordinated Replay Sample Selection for Continual Federated Learning. EMNLP (Industry Track) 2023: 331-342 - [c10]Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr:
Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP 2023: 1-5 - [c9]Charith Peris
, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta:
Privacy in the Time of Language Models. WSDM 2023: 1291-1292 - [i12]Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta:
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. CoRR abs/2305.11759 (2023) - [i11]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. CoRR abs/2308.04265 (2023) - [i10]Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta:
Coordinated Replay Sample Selection for Continual Federated Learning. CoRR abs/2310.15054 (2023) - 2022
- [c8]Rahil Parikh, Christophe Dupuy, Rahul Gupta:
Canary Extraction in Natural Language Understanding Models. ACL (2) 2022: 552-560 - [c7]Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky:
An Efficient DP-SGD Mechanism for Large Scale NLU Models. ICASSP 2022: 4118-4122 - [c6]Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in The Real World. ICASSP 2022: 8767-8771 - [c5]Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) 2022: 157-175 - [i9]Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in the Real world. CoRR abs/2202.03925 (2022) - [i8]Rahil Parikh, Christophe Dupuy, Rahul Gupta:
Canary Extraction in Natural Language Understanding Models. CoRR abs/2203.13920 (2022) - [i7]Jimit Majmudar, Christophe Dupuy, Charith Peris, Sami Smaili, Rahul Gupta, Richard S. Zemel:
Differentially Private Decoding in Large Language Models. CoRR abs/2205.13621 (2022) - 2021
- [c4]Satyapriya Krishna, Rahul Gupta, Christophe Dupuy:
ADePT: Auto-encoder based Differentially Private Text Transformation. EACL 2021: 2435-2439 - [i6]Satyapriya Krishna, Rahul Gupta, Christophe Dupuy:
ADePT: Auto-encoder based Differentially Private Text Transformation. CoRR abs/2102.01502 (2021) - [i5]Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky:
An Efficient DP-SGD Mechanism for Large Scale NLP Models. CoRR abs/2107.14586 (2021) - 2020
- [i4]Stanislav Peshterliev, Christophe Dupuy, Imre Kiss:
Self-Attention Gazetteer Embeddings for Named-Entity Recognition. CoRR abs/2004.04060 (2020)
2010 – 2019
- 2018
- [c3]Christophe Dupuy, Francis R. Bach:
Learning Determinantal Point Processes in Sublinear Time. AISTATS 2018: 244-257 - 2017
- [b1]Christophe Dupuy:
Inference and Applications for Topic Models. (Inférence et Applications pour les Modèles Thématiques). INRIA, Paris-Rocquencourt, France, 2017 - [j1]Christophe Dupuy, Francis R. Bach:
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling. J. Mach. Learn. Res. 18: 126:1-126:45 (2017) - [c2]Christophe Dupuy, Francis R. Bach, Christophe Diot:
Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA. MLDM 2017: 91-106 - 2016
- [c1]Sara El Aouad, Christophe Dupuy, Renata Teixeira, Francis R. Bach, Christophe Diot:
Exploiting Crowd Sourced Reviews to Explain Movie Recommendation. NETYS 2016: 193-201 - [i3]Christophe Dupuy, Francis R. Bach:
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling. CoRR abs/1603.02644 (2016) - [i2]Igor Colin, Christophe Dupuy:
Decentralized Topic Modelling with Latent Dirichlet Allocation. CoRR abs/1610.01417 (2016) - [i1]Christophe Dupuy, Francis R. Bach:
Learning Determinantal Point Processes in Sublinear Time. CoRR abs/1610.05925 (2016)
Coauthor Index
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