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ORCIDSamyadeep Basu
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Conference and Workshop Papers
- 2024
[c10]Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi:
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI 2024: 11024-11031- [c9]Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi:
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP 2024: 6105-6113 - [c8]Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha:
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. EMNLP 2024: 19584-19601 - [c7]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR 2024 - [c6]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. ICML 2024 - 2023
- [c5]Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan:
On Surgical Fine-tuning for Language Encoders. EMNLP (Findings) 2023: 3105-3113 - [c4]Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti:
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. ICLR 2023 - 2021
- [c3]Samyadeep Basu, Phillip Pope, Soheil Feizi:
Influence Functions in Deep Learning Are Fragile. ICLR 2021 - [c2]Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu:
Privacy Leakage Avoidance with Switching Ensembles. MILCOM 2021: 981-986 - 2020
- [c1]Samyadeep Basu, Xuchen You, Soheil Feizi:
On Second-Order Group Influence Functions for Black-Box Predictions. ICML 2020: 715-724
Informal and Other Publications
- 2024
- [i23]Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi:
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models. CoRR abs/2404.08030 (2024) - [i22]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. CoRR abs/2405.01008 (2024) - [i21]Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi:
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. CoRR abs/2406.01583 (2024) - [i20]Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti:
Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR abs/2406.04236 (2024) - [i19]Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi:
Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. CoRR abs/2406.07844 (2024) - [i18]Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. CoRR abs/2406.12824 (2024) - [i17]Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha:
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. CoRR abs/2406.13683 (2024) - [i16]Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. CoRR abs/2410.00857 (2024) - [i15]Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024) - [i14]Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka:
Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR abs/2410.22370 (2024) - 2023
- [i13]Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi:
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR abs/2304.01917 (2023) - [i12]Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi:
Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR abs/2307.09233 (2023) - [i11]Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi:
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR abs/2310.02426 (2023) - [i10]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR abs/2310.13730 (2023) - [i9]Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan:
On Surgical Fine-tuning for Language Encoders. CoRR abs/2310.17041 (2023) - [i8]Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan:
Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. CoRR abs/2310.17120 (2023) - 2022
- [i7]Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan:
Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats. CoRR abs/2211.14954 (2022) - 2021
- [i6]Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han:
Semi-Supervised Few-Shot Intent Classification and Slot Filling. CoRR abs/2109.08754 (2021) - [i5]Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi:
On Hard Episodes in Meta-Learning. CoRR abs/2110.11190 (2021) - 2020
- [i4]Samyadeep Basu, Phillip Pope, Soheil Feizi:
Influence Functions in Deep Learning Are Fragile. CoRR abs/2006.14651 (2020) - 2019
- [i3]Samyadeep Basu, Rauf Izmailov, Chris Mesterharm:
Membership Model Inversion Attacks for Deep Networks. CoRR abs/1910.04257 (2019) - [i2]Samyadeep Basu, Xuchen You, Soheil Feizi:
Second-Order Group Influence Functions for Black-Box Predictions. CoRR abs/1911.00418 (2019) - [i1]Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu:
Privacy Leakage Avoidance with Switching Ensembles. CoRR abs/1911.07921 (2019)
Coauthor Index
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