Andrew Howard

16 papers · 1999–2024 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🌟 Keyword Trendsetter Combo (4) 🏆 Keyword Champion 🧭 Keyword Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (62) 📈 Trend Setter 🚀 Conference Pioneer

Venues

CVPR (5) ECCV (3) NeurIPS (2) AISTATS (1) ICCV (1) ICLR (1) JMLR (1) RSS (1) WACV (1)

Top co-authors

Mark Sandler (5) Bo Chen (4) Liang-Chieh Chen (3) WEIJUN WANG (3) Tony Jebara (3) Hartwig Adam (3) Ruoming Pang (2) Grace Chu (2) Alec Go (2) Serge Belongie (2)

Research topics

Machine Learning (11) Application Areas (9) Deep Learning (5) Artificial Intelligence (4) Core Methods (3) Optimization & Theory · Deep Learning (3) Techniques (3) Computer Vision (2) Domain-Specific (2) Learning Paradigms (2) Optimization & Theory · Machine Learning (2) Bayesian & Probabilistic (1) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

neural architecture search (3) transfer learning (2) parameter efficiency (2) discriminative learning (2) efficient computing (2) neural network quantization (2) object detection (2) efficient model (2) mobile network (2) model efficiency (2) model compression (2) neural network optimization (1) deep learning (1) domain adaptation (1) knowledge distillation (1) piecewise linear (1) feature learning (1) large margin classifier (1) monotonic transformations (1) computer vision (1)

Papers

MobileNetV4: Universal Models for the Mobile Ecosystem ECCV 2024 PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks CVPR 2024 ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NeurIPS 2023 On Label Granularity and Object Localization ECCV 2022 Multi-Path Neural Networks for On-Device Multi-Domain Visual Classification WACV 2021 K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning ICLR 2019 MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019 Searching for MobileNetV3 ICCV 2019 Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning CVPR 2018 MobileNetV2: Inverted Residuals and Linear Bottlenecks CVPR 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications ECCV 2018 Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018 Learning Monotonic Transformations for Classification NeurIPS 2007 Multi-robot Simultaneous Localization and Mapping using Particle Filters RSS 2005 Probability Product Kernels JMLR 2004 Multi-object tracking with representations of the symmetric group AISTATS 1999