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Samyadeep Basu
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Conference and Workshop Papers
- 2024
- [c7]Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi:
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI 2024: 11024-11031 - [c6]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR 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
- [i20]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) - [i19]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan 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) - [i18]Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi:
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. CoRR abs/2406.01583 (2024) - [i17]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) - [i16]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) - [i15]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) - [i14]Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha:
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. CoRR abs/2406.13683 (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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