Liu, Hanxiao

25 publications

ICLR 2024 Large Language Models as Optimizers Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, Xinyun Chen

NeurIPS 2023 DoReMi: Optimizing Data Mixtures Speeds up Language Model Pretraining Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V Le, Tengyu Ma, Adams Wei Yu

NeurIPS 2022 Mixture-of-Experts with Expert Choice Routing Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M Dai, Zhifeng Chen, Quoc V Le, James Laudon

NeurIPS 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang

ICML 2022 Transformer Quality in Linear Time Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc Le

NeurIPS 2021 CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai, Hanxiao Liu, Quoc V Le, Mingxing Tan

CVPRW 2021 Discovering Multi-Hardware Mobile Models via Architecture Search Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard

CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

NeurIPS 2021 Pay Attention to MLPs Hanxiao Liu, Zihang Dai, David So, Quoc V Le

NeurIPS 2021 Searching for Efficient Transformers for Language Modeling David So, Wojciech Mańke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V Le

ECCV 2020 BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le

NeurIPS 2020 Evolving Normalization-Activation Layers Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc V. Le

ECCV 2020 Neural Predictor for Neural Architecture Search Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans

NeurIPS 2020 PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc V. Le

NeurIPS 2020 Rethinking Pre-Training and Self-Training Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc V. Le

NeurIPS 2020 Transferable Graph Optimizers for ML Compilers Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

ICLR 2019 DARTS: Differentiable Architecture Search Hanxiao Liu, Karen Simonyan, Yiming Yang

ICLR 2018 Hierarchical Representations for Efficient Architecture Search Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu

ICML 2017 Analogical Inference for Multi-Relational Embeddings Hanxiao Liu, Yuexin Wu, Yiming Yang

AAAI 2017 Cross-Domain Kernel Induction for Transfer Learning Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang

NeurIPS 2016 Adaptive Smoothed Online Multi-Task Learning Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell, Yiming Yang

ICML 2016 Cross-Graph Learning of Multi-Relational Associations Hanxiao Liu, Yiming Yang

JAIR 2016 Learning Concept Graphs from Online Educational Data Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell

AISTATS 2016 Semi-Supervised Learning with Adaptive Spectral Transform Hanxiao Liu, Yiming Yang

ICML 2015 Bipartite Edge Prediction via Transductive Learning over Product Graphs Hanxiao Liu, Yiming Yang