Nimit Sharad Sohoni

According to our database, Nimit Sharad Sohoni authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

BARACK: Partially Supervised Group Robustness With Guarantees.

Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré

CoRR, 2022

Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations.

Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

Monarch: Expressive Structured Matrices for Efficient and Accurate Training.

Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

2021

Observational Supervision for Medical Image Classification Using Gaze Data.

Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Mandoline: Model Evaluation under Distribution Shift.

Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

Proceedings of the 38th International Conference on Machine Learning, 2021

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems.

Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.

Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

Proceedings of the 8th International Conference on Learning Representations, 2020

Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond.

Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni

Proceedings of the Conference on Learning Theory, 2020

Ivy: Instrumental Variable Synthesis for Causal Inference.

Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Low-Memory Neural Network Training: A Technical Report.

Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré

CoRR, 2019