Mark Kurtz - RankMe

12 papers A* 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization. ACL (1) Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, Mark Kurtz, Dan Alistarh
2025	J	`jnl`	Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization. CoRR Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev, Andrei Panferov, Eldar Kurtic, Shubhra Pandit, Alexandre Noll Marques, Mark Kurtz, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2024	J	`jnl`	"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization. CoRR Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, Mark Kurtz, Dan Alistarh
2024	J	`jnl`	Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR Abhinav Agarwalla, Abhay Gupta, Alexandre Noll Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz
2023	—	`conf`	oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. SustaiNLP Daniel Campos, Alexandre Noll Marques, Mark Kurtz, ChengXiang Zhai
2023	J	`jnl`	oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. CoRR Daniel Campos, Alexandre Noll Marques, Mark Kurtz, ChengXiang Zhai
2022	A*	`conf`	How Well Do Sparse ImageNet Models Transfer? CVPR Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
2022	J	`jnl`	Sparse*BERT: Sparse Models are Robust. CoRR Daniel Campos, Alexandre Noll Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai
2022	A*	`conf`	The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. EMNLP Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
2022	J	`jnl`	The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. CoRR Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
2021	J	`jnl`	How Well Do Sparse Imagenet Models Transfer? CoRR Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
2020	A*	`conf`	Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks. ICML Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William M. Leiserson, Sage Moore, Nir Shavit, Dan Alistarh