Pfister, Tomas

54 publications

NeurIPS 2025 Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ICLR 2025 Learning to Clarify: Multi-Turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan O Arik

NeurIPS 2025 MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan O Arik, Tomas Pfister

ICLR 2025 Mitigating Object Hallucination in MLLMs via Data-Augmented Phrase-Level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan O Arik, Tomas Pfister

ICML 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ICLR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation Through Drafting Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

TMLR 2024 ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister

NeurIPS 2024 Chain of Agents: Large Language Models Collaborating on Long-Context Tasks Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arık

ICLR 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

ICML 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han, Jinsung Yoon, Sercan O Arik, Tomas Pfister

TMLR 2024 SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister

ICLR 2024 TEMPO: Prompt-Based Generative Pre-Trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu

NeurIPS 2024 TableRAG: Million-Token Table Understanding with Language Models Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister

WACV 2023 Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister

TMLR 2023 Interpretable Mixture of Experts Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister

TMLR 2023 Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister

AAAI 2023 Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

TMLR 2023 SPADE: Semi-Supervised Anomaly Detection Under Distribution Mismatch Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister

TMLR 2023 TSMixer: An All-MLP Architecture for Time Series Forecast-Ing Si-An Chen, Chun-Liang Li, Sercan O Arik, Nathanael Christian Yoder, Tomas Pfister

TMLR 2023 Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi, Sercan O Arik, Tomas Pfister

WACV 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister

AISTATS 2022 Decoupling Local and Global Representations of Time Series Sana Tonekaboni, Chun-Liang Li, Sercan O. Arik, Anna Goldenberg, Tomas Pfister

ECCV 2022 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister

TMLR 2022 LIMIS: Locally Interpretable Modeling Using Instance-Wise Subsampling Jinsung Yoon, Sercan O Arik, Tomas Pfister

ECCV 2022 Learning Instance-Specific Adaptation for Cross-Domain Segmentation Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang

AAAI 2022 Learning from Weakly-Labeled Web Videos via Exploring Sub-Concepts Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

CVPR 2022 Learning to Prompt for Continual Learning Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister

AAAI 2022 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister

TMLR 2022 Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister

ICMLW 2022 Towards Group Robustness in the Presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

NeurIPS 2021 Controlling Neural Networks with Rule Representations Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister

CVPR 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister

ICCV 2021 Learning Fast Sample Re-Weighting Without Reward Data Zizhao Zhang, Tomas Pfister

ICLR 2021 Learning and Evaluating Representations for Deep One-Class Classification Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

ICLR 2021 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

AAAI 2021 TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik, Tomas Pfister

ECCV 2020 Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan . Arık, Larry S. Davis, Tomas Pfister

ICML 2020 Data Valuation Using Reinforcement Learning Jinsung Yoon, Sercan Arik, Tomas Pfister

NeurIPSW 2020 Differentiable Top-$k$ with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

NeurIPS 2020 Differentiable Top-K with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

ICLR 2020 Distance-Based Learning from Errors for Confidence Calibration Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister

NeurIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting Sercan Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

ECCV 2020 Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister

NeurIPS 2020 On Completeness-Aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh, Been Kim, Sercan Arik, Chun-Liang Li, Tomas Pfister, Pradeep K. Ravikumar

JMLR 2020 ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik, Tomas Pfister

ICLR 2019 Harmonic Unpaired Image-to-Image Translation Rui Zhang, Tomas Pfister, Jia Li

CVPR 2017 Learning from Simulated and Unsupervised Images Through Adversarial Training Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb

CVPR 2016 Personalizing Human Video Pose Estimation James Charles, Tomas Pfister, Derek Magee, David Hogg, Andrew Zisserman

ICCV 2015 Flowing ConvNets for Human Pose Estimation in Videos Tomas Pfister, James Charles, Andrew Zisserman

ECCV 2014 Domain-Adaptive Discriminative One-Shot Learning of Gestures Tomas Pfister, James Charles, Andrew Zisserman

ICCV 2011 Recognising Spontaneous Facial Micro-Expressions Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen