Efficient (Soft) Q-Learning for Text Generation with Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Eric P. Xing

Kernel Mixed Model for Transcriptome Association Study, Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
Eric P. Xing

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models, Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
Eric P. Xing

Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features, Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
Eric P. Xing

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Machine Learning Faculty Publications

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models, Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
Machine Learning Faculty Publications

Kernel Mixed Model for Transcriptome Association Study, Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
Machine Learning Faculty Publications

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

Negational symmetry of quantum neural networks for binary pattern classification, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Machine Learning Faculty Publications

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation, Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing
Eric P. Xing

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation, Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
Eric P. Xing

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation, Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
Machine Learning Faculty Publications

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation, Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing
Machine Learning Faculty Publications

Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, Eric P. Xing
Eric P. Xing

Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, Willie Neiswanger
Eric P. Xing

Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Eric P. Xing

Negational symmetry of quantum neural networks for binary pattern classification, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Eric P. Xing

Data-free neural architecture search via recursive label calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Eric P. Xing

Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao
Eric P. Xing

Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing
Eric P. Xing

Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
Eric P. Xing

NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, Manolis Kellis
Eric P. Xing

Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Eric P. Xing

Panoramic learning with a standardized machine learning formalism, Zhiting Hu, Eric P. Xing
Eric P. Xing

Progressive generation of long text with pretrained language models, Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Eric P. Xing

Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, Eric P. Xing
Machine Learning Faculty Publications

Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features, Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
Machine Learning Faculty Publications

NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, Manolis Kellis
Machine Learning Faculty Publications

Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie
Machine Learning Faculty Publications

Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing
Machine Learning Faculty Publications

Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Machine Learning Faculty Publications

Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao
Machine Learning Faculty Publications

Panoramic learning with a standardized machine learning formalism, Zhiting Hu, Eric P. Xing
Machine Learning Faculty Publications

Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Machine Learning Faculty Publications

Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, Willie Neiswanger
Machine Learning Faculty Publications

Knowledge-Aware Meta-Learning for Low-Resource Text Classification, Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
Machine Learning Faculty Publications

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
Machine Learning Faculty Publications

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning, Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin
Machine Learning Faculty Publications

Compression, Transduction, And Creation: A Unified Framework for Evaluating Natural Language Generation, Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Machine Learning Faculty Publications

Progressive generation of long text with pretrained language models, Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Machine Learning Faculty Publications