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2020 – today
- 2024
[b1]Saachi Jain:
A Data-Based Perspective on Model Reliability. MIT, USA, 2024- [i12]Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry:
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. CoRR abs/2406.16846 (2024) - 2023
- [c7]Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry:
A Data-Based Perspective on Transfer Learning. CVPR 2023: 3613-3622 - [c6]Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry:
Distilling Model Failures as Directions in Latent Space. ICLR 2023 - [i11]Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry:
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation. CoRR abs/2302.07865 (2023) - 2022
- [c5]Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry:
Certified Patch Robustness via Smoothed Vision Transformers. CVPR 2022: 15116-15126 - [c4]Saachi Jain, Hadi Salman, Eric Wong
, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. ICLR 2022 - [c3]Saachi Jain, Dimitris Tsipras, Aleksander Madry:
Combining Diverse Feature Priors. ICML 2022: 9802-9832 - [i10]Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. CoRR abs/2204.08945 (2022) - [i9]Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry:
Distilling Model Failures as Directions in Latent Space. CoRR abs/2206.14754 (2022) - [i8]Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry:
When does Bias Transfer in Transfer Learning? CoRR abs/2207.02842 (2022) - [i7]Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry:
A Data-Based Perspective on Transfer Learning. CoRR abs/2207.05739 (2022) - 2021
- [i6]Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler:
A Mechanism for Producing Aligned Latent Spaces with Autoencoders. CoRR abs/2106.15456 (2021) - [i5]Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry:
Certified Patch Robustness via Smoothed Vision Transformers. CoRR abs/2110.07719 (2021) - [i4]Saachi Jain, Dimitris Tsipras, Aleksander Madry:
Combining Diverse Feature Priors. CoRR abs/2110.08220 (2021) - 2020
- [c2]Saachi Jain, Matei Zaharia:
Spectral Lower Bounds on the I/O Complexity of Computation Graphs. SPAA 2020: 329-338
2010 – 2019
- 2019
- [c1]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: 673-683 - [i3]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 abs/1903.03094 (2019) - [i2]Saachi Jain, Matei Zaharia:
Automated Lower Bounds on the I/O Complexity of Computation Graphs. CoRR abs/1909.09791 (2019) - 2018
- [i1]Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec:
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR abs/1809.01819 (2018)
Coauthor Index
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last updated on 2024-08-29 20:56 CEST by the dblp team
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