AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang
Eric P. Xing

Masked Generative Adversarial Networks are Data-Efficient Generation Learners, Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Eric P. Xing

Neural-symbolic interaction and co-evolving, Bowen Tan, Shibo Hao, Eric Xing, Zhiting Hu
Eric P. Xing

SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang Ting Cheng
Eric P. Xing

Federated Partially Supervised Learning With Limited Decentralized Medical Images, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing
Eric P. Xing

Rare Gems: Finding Lottery Tickets at Initialization, Kartik Sreenivasan, Jy Yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos
Eric P. Xing

Neural-symbolic interaction and co-evolving, Bowen Tan, Shibo Hao, Eric Xing, Zhiting Hu
Machine Learning Faculty Publications

Federated Partially Supervised Learning With Limited Decentralized Medical Images, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing
Machine Learning Faculty Publications

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Zhiqiang Shen

Data-Free Neural Architecture Search via Recursive Label Calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
Eric P. Xing

Data-Free Neural Architecture Search via Recursive Label Calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Zhiqiang Shen

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Eric P. Xing

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Eric P. Xing

Rare Gems: Finding Lottery Tickets at Initialization, Kartik Sreenivasan, Jy Yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos
Machine Learning Faculty Publications

Masked Generative Adversarial Networks are Data-Efficient Generation Learners, Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Machine Learning Faculty Publications

AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang
Machine Learning Faculty Publications

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Machine Learning Faculty Publications

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Machine Learning Faculty Publications

Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning, Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric Xing
Eric P. Xing

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion, Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, Eric Xing
Eric P. Xing

Prototypical Graph Contrastive Learning, Shuai Lin, Liu Chen, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, Xiaodan Liang
Eric P. Xing

SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang Ting Cheng
Machine Learning Faculty Publications

Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, Williec Neiswanger
Eric P. Xing

RLPROMPT: Optimizing Discrete Text Prompts With Reinforcement Learning, Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric Xing, Zhiting Hu
Eric P. Xing

Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric Xing
Eric P. Xing

Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning, Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric Xing
Machine Learning Faculty Publications

Prototypical Graph Contrastive Learning, Shuai Lin, Liu Chen, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric Xing, Xiaodan Liang
Machine Learning Faculty Publications

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion, Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, Eric Xing
Machine Learning Faculty Publications

RLPROMPT: Optimizing Discrete Text Prompts With Reinforcement Learning, Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric Xing, Zhiting Hu
Machine Learning Faculty Publications

Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric Xing
Machine Learning Faculty Publications

Multi-Task Learning of Order-Consistent Causal Graphs, Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song
Machine Learning Faculty Publications

Towards Visual Question Answering on Pathology Images, Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, Pengtao Xie
Machine Learning Faculty Publications

Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, Williec Neiswanger
Machine Learning Faculty Publications

Computational Catalyst Discovery: Active Classification Through Myopic Multiscale Sampling, Kevin Tran, Willie Neiswanger, Kirby Broderick, Eric Xing, Jeff Schneider, Zachary W. Ulissi
Machine Learning Faculty Publications

On the Generation of Medical Dialogs for COVID-19, Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, Pengtao Xie
Machine Learning Faculty Publications

Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data, Dong Nanqing, Michael C. Kampffmeyer, Xiaodon Liang, Min Xu, Irina D. Voiculescu, Eric Xing
Machine Learning Faculty Publications

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Xing
Machine Learning Faculty Publications