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Samyadeep Basu
Samyadeep Basu
CS PhD at UMD | Prev: Applied Scientist, Microsoft AI;
Dirección de correo verificada de cs.umd.edu
Título
Citado por
Citado por
Año
Influence Functions in Deep Learning Are Fragile
S Basu, P Pope, S Feizi
ICLR 2021, 2021
1802021
On Second-Order Group Influence Functions for Black-Box Predictions
S Basu, X You, S Feizi
ICML 2020, 2020
762020
Genome wide analysis of W-box element in Arabidopsis thaliana reveals TGAC motif with genes down regulated by heat and salinity
P Dhatterwal, S Basu, S Mehrotra, R Mehrotra
Scientific Reports 9 (1), 1681, 2019
292019
Membership Model Inversion Attacks for Deep Networks
S Basu, R Izmailov, C Mesterharm
NeurIPS 2019 Workshop, 2019
152019
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
S Basu, D Massiceti, S Xu Hu, S Feizi
AAAI 2024, 2024
122024
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
S Basu, M Stanley, JF Bronskill, S Feizi, D Massiceti
ICLR 2023, 2023
52023
Localizing and Editing Knowledge in Text-to-Image Generative Models
S Basu, N Zhao, V Morariu, S Feizi, V Manjunatha
ICLR 2024, 2024
42024
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
S Basu, M Saberi, S Bhardwaj, A Chegini, D Massiceti, M Sanjabi, SX Hu, ...
arXiv, 2023
42023
Strategies to improve few-shot learning for intent classification and slot-filling
S Basu, A Sharaf, KIK Chong, A Fischer, V Rohra, M Amoake, ...
NAACL 2022 (SUKI), 17-25, 2022
42022
On Surgical Fine-tuning for Language Encoders
A Lodha, GV Belapurkar, S Chalkapurkar, Y Tao, S Basu, R Ghosh, ...
EMNLP 2023, 2023
32023
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
S Basu, M Sanjabi, D Massiceti, S Xu Hu, S Feizi
arXiV, 2023
3*2023
Topic Segmentation in the Wild: Towards Segmentation of Semi-Structured and Unstructured Chats
R Ghosh, HS Kajal, S Kamath, D Shrivastava, S Basu, S Srinivasan
NeurIPS 2022 Workshop, 2022
32022
Privacy leakage avoidance with switching ensembles
R Izmailov, P Lin, C Mesterharm, S Basu
MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 981-986, 2021
22021
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
SS Ghosal, S Basu, S Feizi, D Manocha
arXiv preprint arXiv:2406.13683, 2024
2024
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
H Wadhwa, R Seetharaman, S Aggarwal, R Ghosh, S Basu, S Srinivasan, ...
arXiv preprint arXiv:2406.12824, 2024
2024
Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models
A Zarei, K Rezaei, S Basu, M Saberi, M Moayeri, P Kattakinda, S Feizi
arXiv preprint arXiv:2406.07844, 2024
2024
Understanding Information Storage and Transfer in Multi-modal Large Language Models
S Basu, M Grayson, C Morrison, B Nushi, S Feizi, D Massiceti
arXiv preprint arXiv:2406.04236, 2024
2024
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
S Suvra Ghosal, S Basu, S Feizi, D Manocha
arXiv e-prints, arXiv: 2406.13683, 2024
2024
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
S Basu, K Rezaei, R Rossi, C Zhao, V Morariu, V Manjunatha, S Feizi
ICML 2024, 2024
2024
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models
M Moayeri, S Basu, S Balasubramanian, P Kattakinda, A Chengini, ...
arXiv preprint arXiv:2404.08030, 2024
2024
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