Vaishaal Shankar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
11
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. | Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri |
| 2025 | ICLR | Language models scale reliably with over-training and on downstream tasks. | Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, et al. |
| 2024 | EMNLP | Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. | Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev |
| 2024 | ICLR | Data Filtering Networks. | Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T. Toshev, Vaishaal Shankar |
| 2024 | ICLR | TiC-CLIP: Continual Training of CLIP Models. | Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri |
| 2024 | ICML | Scalable Pre-training of Large Autoregressive Image Models. | Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel ngel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin |
| 2023 | CVPR | Masked Autoencoding Does Not Help Natural Language Supervision at Scale. | Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter |
| 2023 | ICML | Robustness in Multimodal Learning under Train-Test Modality Mismatch. | Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev |
| 2022 | ICML | Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). | Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt |
| 2021 | ICCV | Predicting with Confidence on Unseen Distributions. | Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt |
| 2021 | ICCV | Do Image Classifiers Generalize Across Time? | Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt |
| 2021 | ICML | Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. | John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt |
| 2020 | CLOUD | Serverless linear algebra. | Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman |
| 2020 | ICDCS | Serverless Straggler Mitigation using Error-Correcting Codes. | Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas A. Courtade, Kannan Ramchandran |
| 2020 | ICML | Neural Kernels Without Tangents. | Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht |
| 2020 | ICML | Evaluating Machine Accuracy on ImageNet. | Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt |
| 2019 | ICML | Do ImageNet Classifiers Generalize to ImageNet? | Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar |
| 2016 | DIMVA | Reviewer Integration and Performance Measurement for Malware Detection. | Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar |
| 2016 | IPAS | Approximate Subgraph Isomorphism for Image Localization. | Vaishaal Shankar, Jordan Zhang, Jerry Chen, Christopher Dinh, Matthew Clements, Avideh Zakhor |
| 2015 | CCS | Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. | Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Brad Miller, Vaishaal Shankar, Rekha Bachwani, Anthony D. Joseph, J. Doug Tygar |