Saachi Jain

According to our database, Saachi Jain authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Data-Based Perspective on Model Reliability

Saachi Jain

PhD thesis, 2024

Deliberative Alignment: Reasoning Enables Safer Language Models.

Melody Y. Guan, Manas Joglekar, Eric Wallace, Saachi Jain, Boaz Barak, Alec Helyar, Rachel Dias, Andrea Vallone, Hongyu Ren, Jason Wei, Hyung Won Chung, Sam Toyer, Johannes Heidecke, Alex Beutel, Amelia Glaese

CoRR, 2024

Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection.

Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry

CoRR, 2024

2023

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation.

Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry

CoRR, 2023

Distilling Model Failures as Directions in Latent Space.

Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Data-Based Perspective on Transfer Learning.

Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

When does Bias Transfer in Transfer Learning?

Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry

CoRR, 2022

Combining Diverse Feature Priors.

Saachi Jain, Dimitris Tsipras, Aleksander Madry

Proceedings of the International Conference on Machine Learning, 2022

Missingness Bias in Model Debugging.

Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

Proceedings of the Tenth International Conference on Learning Representations, 2022

Certified Patch Robustness via Smoothed Vision Transformers.

Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Mechanism for Producing Aligned Latent Spaces with Autoencoders.

Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler

CoRR, 2021

2020

Spectral Lower Bounds on the I/O Complexity of Computation Graphs.

Saachi Jain, Matei Zaharia

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

2019

Automated Lower Bounds on the I/O Complexity of Computation Graphs.

Saachi Jain, Matei Zaharia

CoRR, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.

Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data.

Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec

CoRR, 2018