Tomas Pfister

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 132

Top Venues

CoRR

CVPR

Trans. Mach. Learn. Res.

ACL (Findings)

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

Jinsung Yoon, Yanfei Chen, Sercan Ö. Arik, Tomas Pfister
Search-Adaptor: Embedding Customization for Information Retrieval. ACL (1) (2024)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. 2024 (2024)
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. CoRR (2024)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. CoRR (2024)
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR (2024)
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR (2024)
Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. CoRR (2024)
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. CoRR (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization. CoRR (2024)
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) (2024)
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR (2024)
Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. CoRR (2024)
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
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. ACL (Findings) (2024)
Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
Learned Feature Importance Scores for Automated Feature Engineering. CoRR (2024)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR (2024)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. ACL (Findings) (2024)
Xi Ye, Ruoxi Sun, Sercan Arik, Tomas Pfister
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. NAACL-HLT (2024)
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
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR (2024)
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
Effective Large Language Model Adaptation for Improved Grounding. CoRR (2023)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. ACL (Findings) (2023)
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR (2023)
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
Better Zero-Shot Reasoning with Self-Adaptive Prompting. ACL (Findings) (2023)
Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
Data-Efficient and Interpretable Tabular Anomaly Detection. KDD (2023)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. EMNLP (Findings) (2023)
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR (2023)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister
Universal Self-adaptive Prompting. CoRR (2023)
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR (2023)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. CoRR (2023)
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
Prefix Conditioning Unifies Language and Label Supervision. CVPR (2023)
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
Better Zero-Shot Reasoning with Self-Adaptive Prompting. CoRR (2023)
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. CoRR (2023)
Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolai Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. CoRR (2023)
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV (2023)
Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR (2023)
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR (2023)
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
Neural Spline Search for Quantile Probabilistic Modeling. CoRR (2023)
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. 2023 (2023)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. CoRR (2023)
Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
Test-Time Adaptation for Visual Document Understanding. Trans. Mach. Learn. Res. 2023 (2023)
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. Trans. Mach. Learn. Res. 2023 (2023)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) (2023)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts. Trans. Mach. Learn. Res. 2023 (2023)
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister
TSMixer: An all-MLP Architecture for Time Series Forecasting. CoRR (2023)
Jinsung Yoon, Sercan Ö. Arik, Yanfei Chen, Tomas Pfister
Search-Adaptor: Text Embedding Customization for Information Retrieval. CoRR (2023)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. CoRR (2023)
Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
TSMixer: An All-MLP Architecture for Time Series Forecast-ing. Trans. Mach. Learn. Res. 2023 (2023)
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
Neural Spline Search for Quantile Probabilistic Modeling. AAAI (2023)
Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolay Glushnev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. ACL (1) (2023)
Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR (2023)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister
Universal Self-Adaptive Prompting. EMNLP (2023)
Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty, Thomas Jarvinen, Ashwin S. Ravi, Peter Brune, Fanyu Kong, Dave Anderson, George Lee, Arie Meir, Farhana Bandukwala, Elli Kanal, Sercan Ö. Arik, Tomas Pfister
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. npj Digit. Medicine 6 (2023)
Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV (2023)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö Arik, Tomas Pfister, Somesh Jha
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. EMNLP (Findings) (2023)
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. CoRR (2023)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. CoRR (2023)
Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. CoRR (2023)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts for Structured Data. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR (2022)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI (2022)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR (2022)
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) (2022)
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. 2022 (2022)
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. ACL (1) (2022)
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
Decoupling Local and Global Representations of Time Series. CoRR (2022)
Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR (2022)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI (2022)
Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series. CoRR (2022)
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
Decoupling Local and Global Representations of Time Series. AISTATS (2022)
Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
Test-Time Adaptation for Visual Document Understanding. CoRR (2022)
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
Prefix Conditioning Unifies Language and Label Supervision. CoRR (2022)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. ECCV (33) (2022)
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR (2022)
Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister
Algorithmic fairness in pandemic forecasting: lessons from COVID-19. npj Digit. Medicine 5 (2022)
Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling. Trans. Mach. Learn. Res. 2022 (2022)
Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister
Towards Group Robustness in the presence of Partial Group Labels. CoRR (2022)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR (2022)
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CVPR (2022)
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR (2021)
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR (2021)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. NeurIPS (2021)
Sercan Ö. Arik, Tomas Pfister
TabNet: Attentive Interpretable Tabular Learning. AAAI (2021)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR (2021)
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR (2021)
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR (2021)
Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021)
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. CoRR (2021)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CoRR (2021)
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. ACL/IJCNLP (2) (2021)
Zizhao Zhang, Tomas Pfister
Learning Fast Sample Re-weighting Without Reward Data. ICCV (2021)
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
Learning and Evaluating Representations for Deep One-Class Classification. ICLR (2021)
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR (2021)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
Aggregating Nested Transformers. CoRR (2021)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. CoRR (2021)
Zizhao Zhang, Tomas Pfister
Learning Fast Sample Re-weighting Without Reward Data. CoRR (2021)
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
Distance-Based Learning from Errors for Confidence Calibration. ICLR (2020)
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
Learning and Evaluating Representations for Deep One-class Classification. CoRR (2020)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) (2020)

Tomas Pfister.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tomas Pfister