Παρακολούθηση
Megha Srivastava
Megha Srivastava
PhD Student, Stanford University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Fairness without demographics in repeated loss minimization
T Hashimoto, M Srivastava, H Namkoong, P Liang
International Conference on Machine Learning, 1929-1938, 2018
5792018
Mathematical notions vs. human perception of fairness: A descriptive approach to fairness for machine learning
M Srivastava, H Heidari, A Krause
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1962019
Robustness to spurious correlations via human annotations
M Srivastava, T Hashimoto, P Liang
International Conference on Machine Learning, 9109-9119, 2020
792020
Do users write more insecure code with AI assistants?
N Perry, M Srivastava, D Kumar, D Boneh
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
76*2023
Evaluating human-language model interaction
M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ...
arXiv preprint arXiv:2212.09746, 2022
602022
An empirical analysis of backward compatibility in machine learning systems
M Srivastava, B Nushi, E Kamar, S Shah, E Horvitz
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
462020
Question generation for adaptive education
M Srivastava, N Goodman
arXiv preprint arXiv:2106.04262, 2021
322021
Lila: Language-informed latent actions
S Karamcheti, M Srivastava, P Liang, D Sadigh
Conference on Robot Learning, 1379-1390, 2022
202022
The effect of learning strategy versus inherent architecture properties on the ability of convolutional neural networks to develop transformation invariance
M Srivastava, K Grill-Spector
arXiv preprint arXiv:1810.13128, 2018
132018
Assistive teaching of motor control tasks to humans
M Srivastava, E Biyik, S Mirchandani, N Goodman, D Sadigh
Advances in Neural Information Processing Systems 35, 28517-28529, 2022
52022
Generating Language Corrections for Teaching Physical Control Tasks
M Srivastava, N Goodman, D Sadigh
International Conference on Machine Learning, 2023
32023
Optimistic Verifiable Training by Controlling Hardware Nondeterminism
M Srivastava, S Arora, D Boneh
arXiv preprint arXiv:2403.09603, 2024
2024
Machine learning for modular multiplication
K Lauter, CY Li, K Maughan, R Newton, M Srivastava
arXiv preprint arXiv:2402.19254, 2024
2024
Observations from HALIE: A Closer Look at Human-LM Interactions in Information-Seeking Contexts
M Srivastava, J Thickstun
https://crfm.stanford.edu/2023/10/11/halie.html, 2023
2023
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