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ORCIDMegha Srivastava
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2020 – today
- 2024
[i14]Kristin E. Lauter, Cathy Yuanchen Li, Krystal Maughan, Rachel Newton, Megha Srivastava:
Machine learning for modular multiplication. CoRR abs/2402.19254 (2024)- [i13]Megha Srivastava, Simran Arora, Dan Boneh:
Optimistic Verifiable Training by Controlling Hardware Nondeterminism. CoRR abs/2403.09603 (2024) - [i12]Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas:
Policy Learning with a Language Bottleneck. CoRR abs/2405.04118 (2024) - 2023
- [j1]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) - [c9]Neil Perry
, Megha Srivastava, Deepak Kumar, Dan Boneh:
Do Users Write More Insecure Code with AI Assistants? CCS 2023: 2785-2799 - [c8]Megha Srivastava, Noah D. Goodman, Dorsa Sadigh:
Generating Language Corrections for Teaching Physical Control Tasks. ICML 2023: 32561-32574 - [i11]Megha Srivastava, Noah D. Goodman, Dorsa Sadigh:
Generating Language Corrections for Teaching Physical Control Tasks. CoRR abs/2306.07012 (2023) - 2022
- [c7]Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh:
Assistive Teaching of Motor Control Tasks to Humans. NeurIPS 2022 - [i10]Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh:
Do Users Write More Insecure Code with AI Assistants? CoRR abs/2211.03622 (2022) - [i9]Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh:
Assistive Teaching of Motor Control Tasks to Humans. CoRR abs/2211.14003 (2022) - [i8]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 abs/2212.09746 (2022) - 2021
- [c6]Megha Srivastava, Noah D. Goodman:
Question Generation for Adaptive Education. ACL/IJCNLP (2) 2021: 692-701 - [c5]Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh:
LILA: Language-Informed Latent Actions. CoRL 2021: 1379-1390 - [i7]Megha Srivastava, Noah D. Goodman:
Question Generation for Adaptive Education. CoRR abs/2106.04262 (2021) - [i6]Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh:
LILA: Language-Informed Latent Actions. CoRR abs/2111.03205 (2021) - 2020
- [c4]Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang:
Robustness to Spurious Correlations via Human Annotations. ICML 2020: 9109-9119 - [c3]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD 2020: 3272-3280 - [i5]Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang:
Robustness to Spurious Correlations via Human Annotations. CoRR abs/2007.06661 (2020) - [i4]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR abs/2008.04572 (2020)
2010 – 2019
- 2019
- [c2]Megha Srivastava, Hoda Heidari, Andreas Krause:
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. KDD 2019: 2459-2468 - [i3]Megha Srivastava, Hoda Heidari, Andreas Krause:
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. CoRR abs/1902.04783 (2019) - 2018
- [c1]Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang:
Fairness Without Demographics in Repeated Loss Minimization. ICML 2018: 1934-1943 - [i2]Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang:
Fairness Without Demographics in Repeated Loss Minimization. CoRR abs/1806.08010 (2018) - [i1]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 abs/1810.13128 (2018)
Coauthor Index
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last updated on 2024-08-02 19:15 CEST by the dblp team
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