Sachin Goyal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. | Sachin Goyal, Christina Baek, J. Zico Kolter, Aditi Raghunathan |
| 2025 | ICLR | Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters. | Kevin Y. Li, Sachin Goyal, Joo D. Semedo, J. Zico Kolter |
| 2025 | ICML | Overtrained Language Models Are Harder to Fine-Tune. | Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan |
| 2024 | CVPR | Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic. | Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter |
| 2024 | ICLR | Think before you speak: Training Language Models With Pause Tokens. | Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan |
| 2024 | ICLR | T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. | Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan |
| 2023 | CVPR | Finetune like you pretrain: Improved finetuning of zero-shot vision models. | Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan |
| 2021 | BMVC | PAL : Pretext-based Active Learning. | Shubhang Bhatnagar, Sachin Goyal, Darshan Tank, Amit Sethi |
| 2020 | ICML | DROCC: Deep Robust One-Class Classification. | Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain |
| 2004 | OSDI | Safely Harnessing Wide Area Surrogate Computing or How to Avoid Building the Perfect Platform for Network Attacks. | Sachin Goyal, John Carter |