Saachi Jain - RankMe

23 papers A* 6B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training. CoRR Yuan Yuan, Tina Sriskandarajah, Anna-Luisa Brakman, Alec Helyar, Alex Beutel, Andrea Vallone, Saachi Jain
2024	—	`—`	A Data-Based Perspective on Model Reliability Saachi Jain
2024	J	`jnl`	Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. CoRR Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
2024	J	`jnl`	Deliberative Alignment: Reasoning Enables Safer Language Models. CoRR 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
2024	A*	`conf`	Improving Subgroup Robustness via Data Selection. NeurIPS Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
2023	A*	`conf`	A Data-Based Perspective on Transfer Learning. CVPR Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
2023	J	`jnl`	Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation. CoRR Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry
2023	A*	`conf`	Distilling Model Failures as Directions in Latent Space. ICLR Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
2022	J	`jnl`	A Data-Based Perspective on Transfer Learning. CoRR Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
2022	A*	`conf`	Certified Patch Robustness via Smoothed Vision Transformers. CVPR Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
2022	A*	`conf`	Combining Diverse Feature Priors. ICML Saachi Jain, Dimitris Tsipras, Aleksander Madry
2022	J	`jnl`	Distilling Model Failures as Directions in Latent Space. CoRR Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
2022	A*	`conf`	Missingness Bias in Model Debugging. ICLR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Missingness Bias in Model Debugging. CoRR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	When does Bias Transfer in Transfer Learning? CoRR Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry
2021	J	`jnl`	A Mechanism for Producing Aligned Latent Spaces with Autoencoders. CoRR Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
2021	J	`jnl`	Certified Patch Robustness via Smoothed Vision Transformers. CoRR Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
2021	J	`jnl`	Combining Diverse Feature Priors. CoRR Saachi Jain, Dimitris Tsipras, Aleksander Madry
2020	B	`conf`	Spectral Lower Bounds on the I/O Complexity of Computation Graphs. SPAA Saachi Jain, Matei Zaharia
2019	J	`jnl`	Automated Lower Bounds on the I/O Complexity of Computation Graphs. CoRR Saachi Jain, Matei Zaharia
2019	—	`conf`	Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
2019	J	`jnl`	Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
2018	J	`jnl`	CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec