Bach, Stephen

14 publications

AISTATS 2025 An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto, Reza Esfandiarpoor, Akash Singirikonda, Eli Upfal, Stephen Bach

ICLR 2024 Follow-up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification Reza Esfandiarpoor, Stephen Bach

NeurIPS 2023 Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning Cristina Menghini, Andrew Delworth, Stephen Bach

ICLR 2023 Learning to Compose Soft Prompts for Compositional Zero-Shot Learning Nihal V. Nayak, Peilin Yu, Stephen Bach

NeurIPSW 2023 Learning to Generate Instructions to Adapt Language Models to New Tasks Nihal Nayak, Yiyang Nan, Avi Trost, Stephen Bach

NeurIPSW 2023 Low-Resource Languages Jailbreak GPT-4 Zheng Xin Yong, Cristina Menghini, Stephen Bach

NeurIPS 2022 BigBio: A Framework for Data-Centric Biomedical Natural Language Processing Jason Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, Jose Posada, John Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

ICLR 2022 Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M Rush

NeurIPS 2022 Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen Bach

TMLR 2022 Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak, Stephen Bach

AISTATS 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources with Performance Guarantees Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen Bach

ICML 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen Bach, Bert Huang, Jordan Boyd-Graber, Lise Getoor

NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'leary

NeurIPS 2010 A Bayesian Approach to Concept Drift Stephen Bach, Mark Maloof