Mansheej Paul - RankMe

21 papers A* 8Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. ICLR Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul
2025	A*	`conf`	Scaling Laws for Precision. ICLR Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2025	J	`jnl`	Soup to go: mitigating forgetting during continual learning with model averaging. CoRR Anat Kleiman, Gintare Karolina Dziugaite, Jonathan Frankle, Sham M. Kakade, Mansheej Paul
2025	A*	`conf`	µnit Scaling: Simple and Scalable FP8 LLM Training. ICML Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis W. Blalock
2025	J	`jnl`	μnit Scaling: Simple and Scalable FP8 LLM Training. CoRR Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis W. Blalock
2024	J	`jnl`	Critique-out-Loud Reward Models. CoRR Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu
2024	J	`jnl`	Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle
2024	J	`jnl`	LoRA Learns Less and Forgets Less. CoRR Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob P. Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham
2024	J	`jnl`	LoRA Learns Less and Forgets Less. Trans. Mach. Learn. Res. Dan Biderman, Jacob P. Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John Patrick Cunningham
2024	J	`jnl`	Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. CoRR Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul
2024	J	`jnl`	Scaling Laws for Precision. CoRR Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2023	A*	`conf`	Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression. NeurIPS Allan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli
2023	J	`jnl`	Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression. CoRR Allan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli
2023	A*	`conf`	Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite
2022	A*	`conf`	Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. NeurIPS Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite
2022	J	`jnl`	Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. CoRR Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite
2022	J	`jnl`	Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? CoRR Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite
2021	A*	`conf`	Deep Learning on a Data Diet: Finding Important Examples Early in Training. NeurIPS Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite
2021	J	`jnl`	Deep Learning on a Data Diet: Finding Important Examples Early in Training. CoRR Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite
2020	A*	`conf`	Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel. NeurIPS Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli
2020	J	`jnl`	Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel. CoRR Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli