Avi Schwarzschild
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges. | Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos |
| 2024 | ICLR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICLR | NEFTune: Noisy Embeddings Improve Instruction Finetuning. | Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2024 | ICML | Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text. | Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | AIES | Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. | Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson |
| 2023 | CVPR | Universal Guidance for Diffusion Models. | Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICLR | Transfer Learning with Deep Tabular Models. | Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum |
| 2022 | ICLR | The Uncanny Similarity of Recurrence and Depth. | Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein |
| 2021 | ICML | Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks. | Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein |
| 2020 | ICASSP | Headless Horseman: Adversarial Attacks on Transfer Learning Models. | Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu |
| 2020 | ICLR | Truth or backpropaganda? An empirical investigation of deep learning theory. | Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein |