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Hanxiao Liu

26 papers · 2015–2024 · 8 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (37) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (10) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Silver ❓ The Questioner ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (106)

Venues

NeurIPS (11) ICML (4) CVPR (3) ICLR (3) ECCV (2) ACL (1) AISTATS (1) EMNLP (1)

Top co-authors

Quoc V Le (10) Yiming Yang (7) Gabriel Bender (6) Pieter-jan Kindermans (5) Quoc V. Le (5) Zihang Dai (4) Yifeng Lu (4) Mingxing Tan (4) Bo Chen (3) Karen Simonyan (3)

Research topics

Machine Learning (20) Deep Learning (14) Optimization & Theory Β· Machine Learning (9) Learning Types Β· Machine Learning (8) Artificial Intelligence (7) Application Areas (7) Architectures (6) Techniques (6) Core Methods (5) Computer Vision (4) Analysis (4) Core AI (4) Learning Paradigms (4) Learning Types Β· Deep Learning (4) Optimization & Theory Β· Deep Learning (4)

Keywords

neural architecture search (9) efficient computing (4) object detection (3) language model (2) weight sharing (2) transformer architecture (2) language modeling (2) transductive learning (2) vision transformer (2) image classification (2) model compression (2) knowledge graph (2) semi-supervised learning (2) convex optimization (2) transfer learning (1) semantic segmentation (1) network architecture (1) online learning (1) reinforcement learning (1) deep reinforcement learning (1)

Papers

Large Language Models as Optimizers ICLR 2024 DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NeurIPS 2023 Mixture-of-Experts with Expert Choice Routing NeurIPS 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NeurIPS 2022 Transformer Quality in Linear Time ICML 2022 CoAtNet: Marrying Convolution and Attention for All Data Sizes NeurIPS 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021 Pay Attention to MLPs NeurIPS 2021 Searching for Efficient Transformers for Language Modeling NeurIPS 2021 BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models ECCV 2020 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 Evolving Normalization-Activation Layers NeurIPS 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 Neural Predictor for Neural Architecture Search ECCV 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 Rethinking Pre-training and Self-training NeurIPS 2020 Transferable Graph Optimizers for ML Compilers NeurIPS 2020 DARTS: Differentiable Architecture Search ICLR 2019 Hierarchical Representations for Efficient Architecture Search ICLR 2018 Analogical Inference for Multi-relational Embeddings ICML 2017 Gated-Attention Readers for Text Comprehension ACL 2017 RACE: Large-scale ReAding Comprehension Dataset From Examinations EMNLP 2017 Adaptive Smoothed Online Multi-Task Learning NeurIPS 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016 Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016 Bipartite Edge Prediction via Transductive Learning over Product Graphs ICML 2015