Jose M Alvarez

4 papers · 2016–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer ❓ The Questioner

Venues

NeurIPS (2) ECCV (1) ICML (1)

Top co-authors

Mathieu Salzmann (2) Jose M. Alvarez (2) Lingchen Meng (1) Yu-Xiong Wang (1) Animashree Anandkumar (1) Yu-Gang Jiang (1) Zuxuan Wu (1) Hengduo Li (1) Nadine Chang (1) Shiyi Lan (1)

Research topics

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

Keywords

neural network (2) model compression (2) network pruning (1) instance segmentation (1) neural network optimization (1) group sparsity (1) long-tailed distribution (1) deep network (1) parameter reduction (1) network compression (1) architecture optimization (1) low-rank regularization (1) image resampling (1) parameter matrix (1) neural network architecture (1) object-level sampling (1) object detection (1)

Papers

SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation ECCV 2024 Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection ICML 2021 Compression-aware Training of Deep Networks NeurIPS 2017 Learning the Number of Neurons in Deep Networks NeurIPS 2016