← Authors

Shibani Santurkar

18 papers · 2017–2023 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (29) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown 🀝 Dynamic Duo (14) πŸ—ƒοΈ Keyword Collector (70) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (7)

Conferences

NIPS (7) ICML (6) ICLR (5)

Top co-authors

Aleksander Madry (14) Dimitris Tsipras (11) Andrew Ilyas (8) Logan Engstrom (8) Percy Liang (3) Larry Rudolph (2) Tatsunori Hashimoto (2) Firdaus Janoos (2) Brandon Tran (2) Ludwig Schmidt (2)

Keywords

benchmark evaluation (3) model debugging (2) language model (2) image classification (2) robust classification (2) domain adaptation (1) kl divergence (1) domain generalization (1) batch normalization (1) model robustness (1) adversarial robustness (1) opinion mining (1) sample complexity (1) image synthesis (1) feature attribution (1) responsible ai (1) subpopulation shift (1) neural network optimization (1) feature representation (1) computer vision (1)

Papers

Is a Caption Worth a Thousand Images? A Study on Representation Learning ICLR 2023
Whose Opinions Do Language Models Reflect? ICML 2023
Data Selection for Language Models via Importance Resampling NIPS 2023
3DB: A Framework for Debugging Computer Vision Models NIPS 2022
BREEDS: Benchmarks for Subpopulation Shift ICLR 2021
Editing a classifier by rewriting its prediction rules NIPS 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks ICML 2021
A Closer Look at Deep Policy Gradients ICLR 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO ICLR 2020
Identifying Statistical Bias in Dataset Replication ICML 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks ICML 2020
Image Synthesis with a Single (Robust) Classifier NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Robustness May Be at Odds with Accuracy ICLR 2019
How Does Batch Normalization Help Optimization? NIPS 2018
Adversarially Robust Generalization Requires More Data NIPS 2018
A Classification-Based Study of Covariate Shift in GAN Distributions ICML 2018
Deep Tensor Convolution on Multicores ICML 2017