Saachi Jain

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Subgraph Isomorphism

Transfer Learning

Motif Discovery

Top Venues

Publications

Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. CoRR (2024)
Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
Distilling Model Failures as Directions in Latent Space. ICLR (2023)
Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
A Data-Based Perspective on Transfer Learning. CVPR (2023)
Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation. CoRR (2023)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. ICLR (2022)
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Combining Diverse Feature Priors. ICML (2022)
Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
Certified Patch Robustness via Smoothed Vision Transformers. CVPR (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. CoRR (2022)
Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
A Data-Based Perspective on Transfer Learning. CoRR (2022)
Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry
When does Bias Transfer in Transfer Learning? CoRR (2022)
Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
Distilling Model Failures as Directions in Latent Space. CoRR (2022)
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Combining Diverse Feature Priors. CoRR (2021)
Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
A Mechanism for Producing Aligned Latent Spaces with Autoencoders. CoRR (2021)
Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
Certified Patch Robustness via Smoothed Vision Transformers. CoRR (2021)
Saachi Jain, Matei Zaharia
Spectral Lower Bounds on the I/O Complexity of Computation Graphs. SPAA (2020)
Saachi Jain, Matei Zaharia
Automated Lower Bounds on the I/O Complexity of Computation Graphs. CoRR (2019)
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR (2019)
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) (2019)
Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR (2018)