Sunny Sanyal - RankMe

13 papers A* 2Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models. Trans. Mach. Learn. Res. Sunny Sanyal, Ravid Shwartz-Ziv, Alex Dimakis, Sujay Sanghavi
2025	A*	`conf`	Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting. ICML Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi
2025	J	`jnl`	Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting. CoRR Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi
2024	A*	`conf`	DataComp-LM: In search of the next generation of training sets for language models. NeurIPS Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	DataComp-LM: In search of the next generation of training sets for language models. CoRR Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	Pre-training Small Base LMs with Fewer Tokens. CoRR Sunny Sanyal, Sujay Sanghavi, Alexandros G. Dimakis
2023	J	`jnl`	Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models. CoRR Sunny Sanyal, Jean Kaddour, Abhishek Kumar, Sujay Sanghavi
2020	Misc	`conf`	DeepMines: A fog Enabled Prediction Platform for Underground Coal Mines. COMSNETS Sunny Sanyal, Animesh Chattopadhyay
2019	—	`conf`	A Federated Filtering Framework for Internet of Medical Things. ICC Sunny Sanyal, Dapeng Wu, Boubakr Nour
2019	J	`jnl`	A Federated Filtering Framework for Internet of Medical Things. CoRR Sunny Sanyal, Dapeng Wu, Boubakr Nour
2019	J	`jnl`	Data Aggregation Techniques for Internet of Things. CoRR Sunny Sanyal
2018	J	`jnl`	Improving Quality of Data: IoT Data Aggregation Using Device to Device Communications. IEEE Access Sunny Sanyal, Puning Zhang
2017	J	`jnl`	Trust-Oriented Partner Selection in D2D Cooperative Communications. IEEE Access Junjie Yan, Dapeng Wu, Sunny Sanyal, Ruyan Wang