Gowthami Somepalli

Orcid: 0000-0002-5380-1413

According to our database1, Gowthami Somepalli authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Measuring Style Similarity in Diffusion Models.
CoRR, 2024

2023
NEFTune: Noisy Embeddings Improve Instruction Finetuning.
CoRR, 2023

Baseline Defenses for Adversarial Attacks Against Aligned Language Models.
CoRR, 2023

Understanding and Mitigating Copying in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Prioritizing and characterizing functionally relevant genes across human tissues.
PLoS Comput. Biol., 2021

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.
CoRR, 2021

What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors.
CoRR, 2021

Unsupervised anomaly detection with adversarial mirrored autoencoders.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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