Megha Srivastava

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Action Language

Machine Learning

Convolutional Neural Networks

Top Venues

Publications

Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
Policy Learning with a Language Bottleneck. CoRR (2024)
Kristin E. Lauter, Cathy Yuanchen Li, Krystal Maughan, Rachel Newton, Megha Srivastava
Machine learning for modular multiplication. CoRR (2024)
Megha Srivastava, Simran Arora, Dan Boneh
Optimistic Verifiable Training by Controlling Hardware Nondeterminism. CoRR (2024)
Megha Srivastava, Noah D. Goodman, Dorsa Sadigh
Generating Language Corrections for Teaching Physical Control Tasks. CoRR (2023)
Megha Srivastava, Noah D. Goodman, Dorsa Sadigh
Generating Language Corrections for Teaching Physical Control Tasks. ICML (2023)
Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh
Do Users Write More Insecure Code with AI Assistants? CCS (2023)
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. 2023 (2023)
Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
Assistive Teaching of Motor Control Tasks to Humans. NeurIPS (2022)
Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh
Do Users Write More Insecure Code with AI Assistants? CoRR (2022)
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
Evaluating Human-Language Model Interaction. CoRR (2022)
Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
Assistive Teaching of Motor Control Tasks to Humans. CoRR (2022)
Megha Srivastava, Noah D. Goodman
Question Generation for Adaptive Education. ACL/IJCNLP (2) (2021)
Megha Srivastava, Noah D. Goodman
Question Generation for Adaptive Education. CoRR (2021)
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
LILA: Language-Informed Latent Actions. CoRR (2021)
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
LILA: Language-Informed Latent Actions. CoRL (2021)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR (2020)
Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang
Robustness to Spurious Correlations via Human Annotations. ICML (2020)
Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang
Robustness to Spurious Correlations via Human Annotations. CoRR (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD (2020)
Megha Srivastava, Hoda Heidari, Andreas Krause
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. CoRR (2019)
Megha Srivastava, Hoda Heidari, Andreas Krause
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. KDD (2019)
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang
Fairness Without Demographics in Repeated Loss Minimization. ICML (2018)
Megha Srivastava, Kalanit Grill-Spector
The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance. CoRR (2018)
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang
Fairness Without Demographics in Repeated Loss Minimization. CoRR (2018)