Hanxiao Liu

26 papers · 2015–2024 · 8 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (9) 🤝 Dynamic Duo (10) 🧬 Topic Evolution 🔥 Unstoppable (10) 🚀 Conference Pioneer ⚡ Prolific Year (8) 📈 Trend Setter 🗃️ Keyword Collector (96) ❓ The Questioner 💎 Century Club (26)

Conferences

NIPS (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)

Keywords

neural architecture search (7) efficient computing (4) object detection (3) transductive learning (2) model compression (2) convex optimization (2) language model (2) semi-supervised learning (2) knowledge graph (2) image classification (2) transformer architecture (2) language modeling (2) vision transformer (2) semantic segmentation (1) transfer learning (1) online learning (1) reinforcement learning (1) deep reinforcement learning (1) attention mechanism (1) multi-task learning (1)

Papers

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