Sahaj Garg is an author at Stanford University specializing in engineering, computer science, and deep learning.
Top concepts
EngineeringData ScienceDeep LearningComputer ScienceMachine LearningStatisticsData MiningKnowledge DiscoveryPattern RecognitionSupervised Learning
Publications per year
2019–2022
4
4
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi et al. · arXiv (Cornell University) · 2019 · 67 citations · Full text
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi et al. · arXiv (Cornell University) · 2019 · 31 citations · Full text
Counterfactual Fairness in Text Classification through Robustness
Sahaj Garg, Vincent Perot, Nicole Limtiaco et al. · 2019 · 20 citations · Full text
Engineering, Fairness In Natural Language Processing, Communication +16
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