Tomas Pfister

206 papers A* 39A 7B 1Journal 130Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution.
CoRR
Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, Tomas Pfister
2026 J jnl
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents.
CoRR
Pengfei He, Ash Fox, Lesly Miculicich, Stefan Friedli, Daniel Fabian, Burak Gokturk, Jiliang Tang, Chen-Yu Lee, Tomas Pfister, Long T. Le
2026 J jnl
MARS: Modular Agent with Reflective Search for Automated AI Research.
CoRR
Jiefeng Chen, Bhavana Dalvi Mishra, Jaehyun Nam, Rui Meng, Tomas Pfister, Jinsung Yoon
2026 J jnl
PaperBanana: Automating Academic Illustration for AI Scientists.
CoRR
Dawei Zhu, Rui Meng, Yale Song, Xiyu Wei, Sujian Li, Tomas Pfister, Jinsung Yoon
2026 — conf
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback.
EACL (Findings)
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
2026 J jnl
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback.
CoRR
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
2026 J jnl
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review.
CoRR
Palash Goyal, Mihir Parmar, Yiwen Song, Hamid Palangi, Tomas Pfister, Jinsung Yoon
2026 J jnl
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.
Trans. Mach. Learn. Res.
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2026 J jnl
VQQA: An Agentic Approach for Video Evaluation and Quality Improvement.
CoRR
Yiwen Song, Tomas Pfister, Yale Song
2025 J jnl
ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning.
CoRR
Jihye Choi, Jinsung Yoon, Jiefeng Chen, Somesh Jha, Tomas Pfister
2025 J jnl
Budget-Aware Tool-Use Enables Effective Agent Scaling.
CoRR
Tengxiao Liu, Zifeng Wang, Jin Miao, I-Hung Hsu, Jun Yan, Jiefeng Chen, Rujun Han, Fangyuan Xu, Yanfei Chen, Ke Jiang, Samira Daruki, Yi Liang, William Yang Wang, Tomas Pfister, Chen-Yu Lee
2025 J jnl
CoDA: Agentic Systems for Collaborative Data Visualization.
CoRR
Zichen Chen, Jiefeng Chen, Sercan Ö. Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
2025 J jnl
DS-STAR: Data Science Agent via Iterative Planning and Verification.
CoRR
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Tomas Pfister
2025 J jnl
Deep Researcher with Test-Time Diffusion.
CoRR
Rujun Han, Yanfei Chen, Zoey CuiZhu, Lesly Miculicich, Guan Sun, Yuanjun Bi, Weiming Wen, Hui Wan, Chunfeng Wen, Solène Maître, George Lee, Vishy Tirumalashetty, Emily Xue, Zizhao Zhang, Salem Haykal, Burak Gokturk, Tomas Pfister, Chen-Yu Lee
2025 J jnl
DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding.
CoRR
Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister, Jinsung Yoon
2025 J jnl
HEART: Emotionally-driven test-time scaling of Language Models.
CoRR
Gabriela Pinto, Palash Goyal, Yiwen Song, Souradip Chakraborty, Zifeng Wang, Tomas Pfister, Hamid Palangi
2025 J jnl
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.
CoRR
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
2025 — conf
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.
ACL (1)
Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025 J jnl
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.
CoRR
Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025 J jnl
LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science.
CoRR
Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song, Jinsung Yoon, Hamed Zamani, Hamid Palangi, Tomas Pfister
2025 A* conf
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training.
ICLR
Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Ö. Arik
2025 J jnl
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement.
CoRR
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arik, Tomas Pfister
2025 — conf
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
ACL (1)
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 J jnl
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
CoRR
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 A* conf
Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment.
ICLR
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2025 A* conf
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.
ICML
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
2025 A* conf
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving.
EMNLP
Mihir Parmar, Palash Goyal, Xin Liu, Yiwen Song, Mingyang Ling, Chitta Baral, Hamid Palangi, Tomas Pfister
2025 J jnl
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving.
CoRR
Mihir Parmar, Palash Goyal, Xin Liu, Yiwen Song, Mingyang Ling, Chitta Baral, Hamid Palangi, Tomas Pfister
2025 A* conf
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
EMNLP
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
CoRR
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.
CoRR
Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister
2025 — conf
Reverse Thinking Makes LLMs Stronger Reasoners.
NAACL (Long Papers)
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
2025 J jnl
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection.
CoRR
Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister
2025 A* conf
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.
ICLR
Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2025 A* conf
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
ICLR
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
2025 J jnl
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning.
CoRR
Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee
2025 J jnl
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.
CoRR
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025 J jnl
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture.
CoRR
Yongchao Chen, Jiefeng Chen, Rui Meng, Ji Yin, Na Li, Chuchu Fan, Chi Wang, Tomas Pfister, Jinsung Yoon
2025 J jnl
Towards Compute-Optimal Many-Shot In-Context Learning.
CoRR
Shahriar Golchin, Yanfei Chen, Rujun Han, Manan Gandhi, Tianli Yu, Swaroop Mishra, Mihai Surdeanu, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2025 J jnl
VISTA: A Test-Time Self-Improving Video Generation Agent.
CoRR
Do Xuan Long, Xingchen Wan, Hootan Nakhost, Chen-Yu Lee, Tomas Pfister, Sercan Ö. Arik
2025 J jnl
VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation.
CoRR
Lesly Miculicich, Mihir Parmar, Hamid Palangi, Krishnamurthy Dj Dvijotham, Mirko Montanari, Tomas Pfister, Long T. Le
2025 J jnl
Watch and Learn: Learning to Use Computers from Online Videos.
CoRR
Chan Hee Song, Yiwen Song, Palash Goyal, Yu Su, Oriana Riva, Hamid Palangi, Tomas Pfister
2025 J jnl
When One LLM Drools, Multi-LLM Collaboration Rules.
CoRR
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov
2024 J jnl
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction.
Trans. Mach. Learn. Res.
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2024 J jnl
CROME: Cross-Modal Adapters for Efficient Multimodal LLM.
CoRR
Sayna Ebrahimi, Sercan Ö. Arik, Tejas Nama, Tomas Pfister
2024 — conf
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
ACL (Findings)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
2024 J jnl
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
CoRR
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
2024 A* conf
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.
NeurIPS
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024 J jnl
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.
CoRR
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024 A* conf
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
ICLR
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
2024 J jnl
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
CoRR
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
2024 — conf
CodecLM: Aligning Language Models with Tailored Synthetic Data.
NAACL-HLT (Findings)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024 J jnl
CodecLM: Aligning Language Models with Tailored Synthetic Data.
CoRR
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024 — conf
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.
NAACL-HLT
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
CoRR
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
2024 — conf
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
ACL (Findings)
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
2024 A* conf
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.
ICML
Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.
CoRR
Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Learned Feature Importance Scores for Automated Feature Engineering.
CoRR
Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2024 J jnl
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training.
CoRR
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024 A* conf
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
EMNLP
Jinsung Yoon, Rajarishi Sinha, Sercan Ömer Arik, Tomas Pfister
2024 J jnl
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
CoRR
Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Mitigating Object Hallucination via Data Augmented Contrastive Tuning.
CoRR
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.
CoRR
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
2024 — conf
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.
EMNLP (Findings)
Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.
CoRR
Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Reverse Thinking Makes LLMs Stronger Reasoners.
CoRR
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
2024 J jnl
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.
CoRR
Mohammadreza Pourreza, Ruoxi Sun, Hailong Li, Lesly Miculicich, Tomas Pfister, Sercan Ö. Arik
2024 J jnl
SQL-PaLM: Improved large language model adaptation for Text-to-SQL.
Trans. Mach. Learn. Res.
Ruoxi Sun, Sercan Ö. Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
2024 — conf
Search-Adaptor: Embedding Customization for Information Retrieval.
ACL (1)
Jinsung Yoon, Yanfei Chen, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.
CoRR
Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
CoRR
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
2024 A* conf
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.
ICLR
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2024 A* conf
TableRAG: Million-Token Table Understanding with Language Models.
NeurIPS
Si-An Chen, Lesly Miculicich, Julian Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2024 J jnl
TableRAG: Million-Token Table Understanding with Language Models.
CoRR
Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2024 — conf
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents.
ACL (Findings)
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023 J jnl
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction.
CoRR
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2023 — conf
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs.
EMNLP (Findings)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023 J jnl
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs.
CoRR
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023 A conf
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types.
WACV
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2023 — conf
Better Zero-Shot Reasoning with Self-Adaptive Prompting.
ACL (Findings)
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Better Zero-Shot Reasoning with Self-Adaptive Prompting.
CoRR
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning.
CoRR
Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023 A* conf
Data-Efficient and Interpretable Tabular Anomaly Detection.
KDD
Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2023 — conf
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
ACL (Findings)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
CoRR
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records.
npj Digit. Medicine
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
2023 J jnl
Effective Large Language Model Adaptation for Improved Grounding.
CoRR
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2023 — conf
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction.
ACL (1)
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
2023 J jnl
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction.
CoRR
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
2023 J jnl
Interpretable Mixture of Experts.
Trans. Mach. Learn. Res.
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2023 J jnl
Invariant Structure Learning for Better Generalization and Causal Explainability.
Trans. Mach. Learn. Res.
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2023 J jnl
LANISTR: Multimodal Learning from Structured and Unstructured Data.
CoRR
Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
2023 A* conf
Neural Spline Search for Quantile Probabilistic Modeling.
AAAI
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Neural Spline Search for Quantile Probabilistic Modeling.
CoRR
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023 J jnl
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series.
CoRR
Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2023 A* conf
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.
CVPR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023 J jnl
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.
CoRR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023 A* conf
Prefix Conditioning Unifies Language and Label Supervision.
CVPR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023 — conf
QueryForm: A Simple Zero-shot Form Entity Query Framework.
ACL (Findings)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2023 J jnl
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch.
Trans. Mach. Learn. Res.
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
2023 — conf
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
EMNLP (Findings)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
Search-Adaptor: Text Embedding Customization for Information Retrieval.
CoRR
Jinsung Yoon, Sercan Ö. Arik, Yanfei Chen, Tomas Pfister
2023 J jnl
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.
CoRR
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2023 J jnl
TSMixer: An All-MLP Architecture for Time Series Forecast-ing.
Trans. Mach. Learn. Res.
Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2023 J jnl
TSMixer: An all-MLP Architecture for Time Series Forecasting.
CoRR
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Test-Time Adaptation for Visual Document Understanding.
Trans. Mach. Learn. Res.
Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents.
CoRR
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023 J jnl
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.
CoRR
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2023 A conf
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.
WACV
Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
2023 A* conf
Universal Self-Adaptive Prompting.
EMNLP
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Universal Self-adaptive Prompting.
CoRR
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2022 J jnl
Algorithmic fairness in pandemic forecasting: lessons from COVID-19.
npj Digit. Medicine
Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister
2022 J jnl
Data-Efficient and Interpretable Tabular Anomaly Detection.
CoRR
Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2022 A conf
Decoupling Local and Global Representations of Time Series.
AISTATS
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022 J jnl
Decoupling Local and Global Representations of Time Series.
CoRR
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022 — conf
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.
ECCV (26)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022 J jnl
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning.
CoRR
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022 — conf
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction.
ACL (1)
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister
2022 J jnl
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction.
CoRR
Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister
2022 J jnl
Interpretable Mixture of Experts for Structured Data.
CoRR
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022 J jnl
Invariant Structure Learning for Better Generalization and Causal Explainability.
CoRR
Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2022 J jnl
LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling.
Trans. Mach. Learn. Res.
Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2022 — conf
Learning Instance-Specific Adaptation for Cross-Domain Segmentation.
ECCV (33)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
2022 J jnl
Learning Instance-Specific Adaptation for Cross-Domain Segmentation.
CoRR
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
2022 A* conf
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts.
AAAI
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2022 A* conf
Learning to Prompt for Continual Learning.
CVPR
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022 A* conf
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.
AAAI
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
2022 J jnl
Prefix Conditioning Unifies Language and Label Supervision.
CoRR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2022 J jnl
QueryForm: A Simple Zero-shot Form Entity Query Framework.
CoRR
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2022 J jnl
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch.
CoRR
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2022 J jnl
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series.
CoRR
Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2022 J jnl
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection.
Trans. Mach. Learn. Res.
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2022 J jnl
Test-Time Adaptation for Visual Document Understanding.
CoRR
Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2022 J jnl
Towards Group Robustness in the presence of Partial Group Labels.
CoRR
Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister
2021 J jnl
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
npj Digit. Medicine
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
2021 J jnl
Aggregating Nested Transformers.
CoRR
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
2021 J jnl
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types.
CoRR
Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2021 A* conf
Controlling Neural Networks with Rule Representations.
NeurIPS
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021 J jnl
Controlling Neural Networks with Rule Representations.
CoRR
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021 A* conf
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization.
CVPR
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021 J jnl
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization.
CoRR
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021 A* conf
Learning Fast Sample Re-weighting Without Reward Data.
ICCV
Zizhao Zhang, Tomas Pfister
2021 J jnl
Learning Fast Sample Re-weighting Without Reward Data.
CoRR
Zizhao Zhang, Tomas Pfister
2021 A* conf
Learning and Evaluating Representations for Deep One-Class Classification.
ICLR
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2021 J jnl
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts.
CoRR
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2021 J jnl
Learning to Prompt for Continual Learning.
CoRR
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2021 A* conf
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
ICLR
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
2021 — conf
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction.
ACL/IJCNLP (2)
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister
2021 J jnl
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction.
CoRR
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister
2021 J jnl
Self-Trained One-class Classification for Unsupervised Anomaly Detection.
CoRR
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2021 A* conf
TabNet: Attentive Interpretable Tabular Learning.
AAAI
Sercan Ö. Arik, Tomas Pfister
2020 J jnl
A Simple Semi-Supervised Learning Framework for Object Detection.
CoRR
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
2020 — conf
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.
ECCV (10)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2020 A* conf
Data Valuation using Reinforcement Learning.
ICML
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2020 J jnl
Differentiable Top-k Operator with Optimal Transport.
CoRR
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020 A* conf
Differentiable Top-k with Optimal Transport.
NeurIPS
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020 A* conf
Distance-Based Learning from Errors for Confidence Calibration.
ICLR
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2020 A* conf
Distilling Effective Supervision From Severe Label Noise.
CVPR
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2020 J jnl
Interpretable Sequence Learning for COVID-19 Forecasting.
CoRR
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
2020 A* conf
Interpretable Sequence Learning for Covid-19 Forecasting.
NeurIPS
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
2020 J jnl
Learning and Evaluating Representations for Deep One-class Classification.
CoRR
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2020 — conf
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning.
ECCV (27)
Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
2020 A* conf
On Completeness-aware Concept-Based Explanations in Deep Neural Networks.
NeurIPS
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Tomas Pfister, Pradeep Ravikumar
2020 J jnl
ProtoAttend: Attention-Based Prototypical Learning.
J. Mach. Learn. Res.
Sercan Ömer Arik, Tomas Pfister
2020 J jnl
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
CoRR
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
2019 J jnl
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels.
CoRR
Yucen Luo, Jun Zhu, Tomas Pfister
2019 J jnl
Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks.
CoRR
Sercan Ömer Arik, Tomas Pfister
2019 J jnl
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost.
CoRR
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2019 J jnl
Data Valuation using Reinforcement Learning.
CoRR
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019 J jnl
Distance-Based Learning from Errors for Confidence Calibration.
CoRR
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2019 A* conf
Generative Modeling for Small-Data Object Detection.
ICCV
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019 J jnl
Generative Modeling for Small-Data Object Detection.
CoRR
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019 — conf
Harmonic Unpaired Image-to-image Translation.
ICLR (Poster)
Rui Zhang, Tomas Pfister, Jia Li
2019 J jnl
Harmonic Unpaired Image-to-image Translation.
CoRR
Rui Zhang, Tomas Pfister, Jia Li
2019 J jnl
IEG: Robust Neural Network Training to Tackle Severe Label Noise.
CoRR
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2019 A* conf
Inserting Videos Into Videos.
CVPR
Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
2019 J jnl
Inserting Videos into Videos.
CoRR
Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
2019 J jnl
Learning to Transfer Learn.
CoRR
Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister
2019 J jnl
On Concept-Based Explanations in Deep Neural Networks.
CoRR
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister
2019 J jnl
RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling.
CoRR
Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019 J jnl
TabNet: Attentive Interpretable Tabular Learning.
CoRR
Sercan Ömer Arik, Tomas Pfister
2019 J jnl
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting.
CoRR
Bryan Lim, Sercan Ömer Arik, Nicolas Loeff, Tomas Pfister
2018 J jnl
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods.
IEEE Trans. Affect. Comput.
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen
2017 A* conf
Learning from Simulated and Unsupervised Images through Adversarial Training.
CVPR
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb
2016 J jnl
Learning from Simulated and Unsupervised Images through Adversarial Training.
CoRR
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb
2016 A* conf
Personalizing Human Video Pose Estimation.
CVPR
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2015 — —
Advancing human pose and gesture recognition.
Tomas Pfister
2015 A* conf
Flowing ConvNets for Human Pose Estimation in Videos.
ICCV
Tomas Pfister, James Charles, Andrew Zisserman
2015 J jnl
Flowing ConvNets for Human Pose Estimation in Videos.
CoRR
Tomas Pfister, James Charles, Andrew Zisserman
2015 J jnl
Personalizing Human Video Pose Estimation.
CoRR
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2015 J jnl
Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition.
CoRR
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen
2014 J jnl
Automatic and Efficient Human Pose Estimation for Sign Language Videos.
Int. J. Comput. Vis.
James Charles, Tomas Pfister, Mark Everingham, Andrew Zisserman
2014 — conf
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos.
ACCV (1)
Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman
2014 — conf
Domain-Adaptive Discriminative One-Shot Learning of Gestures.
ECCV (6)
Tomas Pfister, James Charles, Andrew Zisserman
2014 A conf
Upper Body Pose Estimation with Temporal Sequential Forests.
BMVC
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2013 B conf
A Spontaneous Micro-expression Database: Inducement, collection and baseline.
FG
Xiaobai Li, Tomas Pfister, Xiaohua Huang, Guoying Zhao, Matti Pietikäinen
2013 A conf
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts.
BMVC
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2013 A conf
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences).
BMVC
Tomas Pfister, James Charles, Andrew Zisserman
2012 A conf
Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts.
BMVC
Tomas Pfister, James Charles, Mark Everingham, Andrew Zisserman
2011 — conf
Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework.
ICCV Workshops
Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen
2011 J jnl
Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis.
IEEE Trans. Affect. Comput.
Tomas Pfister, Peter Robinson
2011 A* conf
Recognising spontaneous facial micro-expressions.
ICCV
Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen
2010 — conf
Speech Emotion Classification and Public Speaking Skill Assessment.
HBU
Tomas Pfister, Peter Robinson