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Nikunj Saunshi
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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
337*2019
A Large Self-Annotated Corpus for Sarcasm
M Khodak, N Saunshi, K Vodrahalli
Language Resources and Evaluation Conference (LREC) 2018, 2017
1512017
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
672018
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
612020
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
432018
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
322020
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
262020
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
142020
Pixie: a social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa prize proceedings, 2017
122017
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
7*2021
Understanding Contrastive Learning Requires Incorporating Inductive Biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
arXiv preprint arXiv:2202.14037, 2022
62022
On Predicting Generalization using GANs
Y Zhang, A Gupta, N Saunshi, S Arora
International Conference on Learning Representations (ICLR) 2022, 2021
2021
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic and Sound
A Gupta, N Saunshi, D Yu, K Lyu, S Arora
2021
On the Connections between Compressed Sensing, Learning and Natural Language Representations
NU Saunshi
2018
A Case-Study Critique and Principled Alternatives for Equilibrium-Seeking Congestion Control Protocols
M Khodak, N Saunshi
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Articles 1–15