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Jeff Pool

6 papers · 2015–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Venues

NeurIPS (4) ICLR (2)

Top co-authors

Song Han (2) Chong Yu (2) Saurav Muralidharan (1) Xinchao Wang (1) Hongxu Yin (1) Pavlo Molchanov (1) William Dally (1) William J. Dally (1) Gongfan Fang (1) John Tran (1)

Research topics

Deep Learning (6) Machine Learning (6) Application Areas (6) Artificial Intelligence (3) Core AI (3) Optimization & Theory Β· Deep Learning (3) Architectures (2) Optimization & Theory Β· Machine Learning (2) Techniques (2) Natural Language Processing (1) Models (1) Resources & Methods (1)

Keywords

model compression (3) neural network pruning (2) model pruning (2) transfer learning (1) knowledge distillation (1) network pruning (1) neural network optimization (1) efficient computing (1) computational efficiency (1) structured sparsity (1) sparse model (1) convolutional neural network (1) recurrent neural network (1) generative adversarial network (1) weight pruning (1) parameter efficiency (1) semi-structured sparsity (1) gumbel softmax (1) pruning method (1) model sparsity (1)

Papers

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NeurIPS 2024 Channel Permutations for N:M Sparsity NeurIPS 2021 Self-Supervised Generative Adversarial Compression NeurIPS 2020 Efficient Sparse-Winograd Convolutional Neural Networks ICLR 2018 Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip ICLR 2018 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015