Mark Kurtz

5 papers · 2020–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird ❓ The Questioner (2)

Venues

ACL (2) CVPR (1) EMNLP (1) ICML (1)

Top co-authors

Dan Alistarh (4) Eldar Kurtic (2) Daniel Campos (2) Michael Goin (2) Cheng Xiang Zhai (1) Sage Moore (1) Alexander Matveev (1) Tuan Nguyen (1) Alexandre Marques (1) William Leiserson (1)

Research topics

Deep Learning (4) Machine Learning (4) Application Areas (4) Artificial Intelligence (3) Optimization & Theory · Deep Learning (3) Core AI (2) Architectures (1) Learning Paradigms (1) Learning Types (1) Models (1) Optimization & Theory · Machine Learning (1) Techniques (1)

Keywords

sparse model (2) convolutional neural network (2) inference acceleration (2) model pruning (2) image classification (1) transfer learning (1) knowledge distillation (1) bert compression (1) second-order optimization (1) sparse activation (1) weight pruning (1) sparse neural network (1) activation sparsity (1) large language model quantization (1) bit precision (1) accuracy recovery (1) large language model (1) llm quantization (1) int4 quantization (1) fp8 quantization (1)

Papers

“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization ACL 2025 oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes ACL 2023 How Well Do Sparse ImageNet Models Transfer? CVPR 2022 The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022 Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks ICML 2020