Samyadeep Basu

According to our database, Samyadeep Basu authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.

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

CoRR, 2024

A Survey of Small Language Models.

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

CoRR, 2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi

CoRR, 2024

Understanding Information Storage and Transfer in Multi-modal Large Language Models.

Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti

CoRR, 2024

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP.

Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi

CoRR, 2024

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models.

Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi

CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Localizing and Editing Knowledge In Text-to-Image Generative Models.

Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha

Proceedings of the Twelfth International Conference on Learning Representations, 2024

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning.

Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP.

Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.

Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models.

Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan

CoRR, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.

Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Surgical Fine-tuning for Language Encoders.

Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats.

Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan

CoRR, 2022

2021

On Hard Episodes in Meta-Learning.

Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi

CoRR, 2021

Semi-Supervised Few-Shot Intent Classification and Slot Filling.

Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han

CoRR, 2021

Privacy Leakage Avoidance with Switching Ensembles.

Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Influence Functions in Deep Learning Are Fragile.

Samyadeep Basu, Phillip Pope, Soheil Feizi

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

On Second-Order Group Influence Functions for Black-Box Predictions.

Samyadeep Basu, Xuchen You, Soheil Feizi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Membership Model Inversion Attacks for Deep Networks.

Samyadeep Basu, Rauf Izmailov, Chris Mesterharm

CoRR, 2019