Shibani Santurkar
18 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Machine Learning
(15)
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(9)
Deep Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
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(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
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(4)
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(3)
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(2)
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Computer Vision
(1)
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(1)
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image classification
(3)
benchmark evaluation
(3)
policy gradient
(2)
robust classification
(2)
model debugging
(2)
adversarial robustness
(2)
language model
(2)
adversarial perturbation
(2)
feature representation
(2)
deep reinforcement learning
(2)
feature learning
(1)
opinion mining
(1)
computer vision
(1)
model robustness
(1)
adversarial learning
(1)
domain adaptation
(1)
image synthesis
(1)
transfer learning
(1)
sample complexity
(1)
kl divergence
(1)
Papers
Data Selection for Language Models via Importance Resampling
NeurIPS 2023
Is a Caption Worth a Thousand Images? A Study on Representation Learning
ICLR 2023
Whose Opinions Do Language Models Reflect?
ICML 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
BREEDS: Benchmarks for Subpopulation Shift
ICLR 2021
Editing a classifier by rewriting its prediction rules
NeurIPS 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks
ICML 2021
A Closer Look at Deep Policy Gradients
ICLR 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
ICML 2020
Identifying Statistical Bias in Dataset Replication
ICML 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
ICLR 2020
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS 2019
Image Synthesis with a Single (Robust) Classifier
NeurIPS 2019
Robustness May Be at Odds with Accuracy
ICLR 2019
A Classification-Based Study of Covariate Shift in GAN Distributions
ICML 2018
Adversarially Robust Generalization Requires More Data
NeurIPS 2018
How Does Batch Normalization Help Optimization?
NeurIPS 2018
Deep Tensor Convolution on Multicores
ICML 2017