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Nikunj Saunshi
Nikunj Saunshi
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi
International Conference on Machine Learning (ICML) 2019, 2019
735*2019
A Large Self-Annotated Corpus for Sarcasm
M Khodak, N Saunshi, K Vodrahalli
Language Resources and Evaluation Conference (LREC) 2018, 2017
2492017
Predicting What You Already Know Helps: Provable Self-Supervised Learning
JD Lee, Q Lei, N Saunshi, J Zhuo
Neural Information Processing Systems (NeurIPS) 2021, 2020
1752020
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
M Khodak*, N Saunshi*, Y Liang, T Ma, B Stewart, S Arora
Association for Computational Linguistics (ACL) 2018, 2018
1142018
Understanding Contrastive Learning Requires Incorporating Inductive Biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
International Conference on Machine Learning (ICML) 2022, 2022
992022
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
N Saunshi, S Malladi, S Arora
International Conference on Learning Representations (ICLR) 2021, 2020
802020
Provable representation learning for imitation learning via bi-level optimization
S Arora, S Du, S Kakade, Y Luo, N Saunshi
International Conference on Machine Learning (ICML) 2020, 2020
572020
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs
S Arora, M Khodak, N Saunshi, K Vodrahalli
International Conference on Learning Representations (ICLR) 2018, 2018
492018
Task-Specific Skill Localization in Fine-tuned Language Models
A Panigrahi*, N Saunshi*, H Zhao, S Arora
International Conference on Machine Learning (ICML) 2023, 2023
282023
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
N Saunshi, A Gupta, W Hu
International Conference on Machine Learning (ICML) 2021, 2021
232021
A sample complexity separation between non-convex and convex meta-learning
N Saunshi, Y Zhang, M Khodak, S Arora
International Conference on Machine Learning (ICML) 2020, 2020
212020
Pixie: a social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa prize proceedings, 2017
142017
Understanding Influence Functions and Datamodels via Harmonic Analysis
N Saunshi, A Gupta, M Braverman, S Arora
International Conference on Learning Representations (ICLR) 2023, 2022
122022
On Predicting Generalization using GANs
Y Zhang, A Gupta, N Saunshi, S Arora
International Conference on Learning Representations (ICLR) 2022, 2021
122021
Reasoning in Large Language Models Through Symbolic Math Word Problems
V Gaur, N Saunshi
Findings of the Association for Computational Linguistics (ACL) 2023, 2023
112023
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
A Gupta*, N Saunshi*, D Yu*, K Lyu, S Arora
Neural Information Processing Systems (NeurIPS) 2022, 2021
52021
Method and apparatus for system resource management
YU Changhun, H Kim, M Sunho, AHN Minwook, R Kim, CHO Kyoungsoo, ...
US Patent 10,474,574, 2019
42019
Towards Understanding Self-Supervised Representation Learning
N Saunshi
PhD Thesis, 2022
22022
Efficient Stagewise Pretraining via Progressive Subnetworks
A Panigrahi*, N Saunshi*, K Lyu, S Miryoosefi, S Reddi, S Kale, S Kumar
arXiv preprint arXiv:2402.05913, 2024
2024
Electronic device and method for controlling snooze notification
N Saunshi, P Kapoor, M Kumar, V Vinjam
US Patent 11,354,019, 2022
2022
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