Gowthami Somepalli
Gowthami Somepalli
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SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
G Somepalli, M Goldblum, A Schwarzschild, CB Bruss, T Goldstein
NeurIPS 2022 Tabular Representation Learning Workshop, 2022
Diffusion art or digital forgery? investigating data replication in diffusion models
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Baseline defenses for adversarial attacks against aligned language models
N Jain, A Schwarzschild, Y Wen, G Somepalli, J Kirchenbauer, P Chiang, ...
arXiv preprint arXiv:2309.00614, 2023
What doesn't kill you makes you robust (er): How to adversarially train against data poisoning
J Geiping, L Fowl, G Somepalli, M Goldblum, M Moeller, T Goldstein
arXiv preprint arXiv:2102.13624, 2021
Can neural nets learn the same model twice? investigating reproducibility and double descent from the decision boundary perspective
G Somepalli, L Fowl, A Bansal, P Yeh-Chiang, Y Dar, R Baraniuk, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Understanding and Mitigating Copying in Diffusion Models
G Somepalli, V Singla, M Goldblum, J Geiping, T Goldstein
Advances in Neural Information Processing Systems 36, 2023
Neftune: Noisy embeddings improve instruction finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
arXiv preprint arXiv:2310.05914, 2023
How much data are augmentations worth? An investigation into scaling laws, invariance, and implicit regularization
J Geiping, M Goldblum, G Somepalli, R Shwartz-Ziv, T Goldstein, ...
ICLR 2023, 2022
Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks
M Goldblum, H Souri, R Ni, M Shu, V Prabhu, G Somepalli, ...
Advances in Neural Information Processing Systems 36, 2024
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi
Uncertainty in Artificial Intelligence, PMLR 161:365-375, 2021
A performance-driven benchmark for feature selection in tabular deep learning
V Cherepanova, R Levin, G Somepalli, J Geiping, CB Bruss, AG Wilson, ...
Advances in Neural Information Processing Systems 36, 2024
Prioritizing and characterizing functionally relevant genes across human tissues
G Somepalli, S Sahoo, A Singh, S Hannenhalli
PLoS Computational Biology 17 (7), e1009194, 2021
Patchgame: Learning to signal mid-level patches in referential games
K Gupta, G Somepalli, A Anubhav, VYJ Magalle Hewa, M Zwicker, ...
Advances in Neural Information Processing Systems 34, 26015-26027, 2021
Cinepile: A long video question answering dataset and benchmark
R Rawal, K Saifullah, R Basri, D Jacobs, G Somepalli, T Goldstein
arXiv preprint arXiv:2405.08813, 2024
Measuring Style Similarity in Diffusion Models
G Somepalli, A Gupta, K Gupta, S Palta, M Goldblum, J Geiping, ...
arXiv preprint arXiv:2404.01292, 2024
From Pixels to Prose: A Large Dataset of Dense Image Captions
V Singla, K Yue, S Paul, R Shirkavand, M Jayawardhana, A Ganjdanesh, ...
arXiv preprint arXiv:2406.10328, 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
A Hans, Y Wen, N Jain, J Kirchenbauer, H Kazemi, P Singhania, S Singh, ...
arXiv preprint arXiv:2406.10209, 2024
LMD3: Language Model Data Density Dependence
J Kirchenbauer, G Honke, G Somepalli, J Geiping, D Ippolito, K Lee, ...
arXiv preprint arXiv:2405.06331, 2024
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