Thomas Hartvigsen

114 papers A* 16A 6B 4Journal 60Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aligning Language Model Benchmarks with Pairwise Preferences.
CoRR
Marco Gutierrez, Xinyi Leng, Hannah Cyberey, Jonathan Richard Schwarz, Ahmed Alaa, Thomas Hartvigsen
2026 J jnl
Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization.
CoRR
Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab
2026 — conf
Instruction-based Time Series Editing.
KDD (1)
Jiaxing Qiu, Dongliang Guo, Brynne Sullivan, Teague R. Henry, Thomas Hartvigsen
2026 J jnl
ReasonEdit: Editing Vision-Language Models using Human Reasoning.
CoRR
Jiaxing Qiu, Kaihua Hou, Roxana Daneshjou, Ahmed Alaa, Thomas Hartvigsen
2025 J jnl
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization.
CoRR
Shengzhuang Chen, Xu Ouyang, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
2025 J jnl
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization.
Trans. Mach. Learn. Res.
Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
2025 A conf
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CIKM
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2025 A* conf
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
ICML
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 J jnl
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 J jnl
Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification.
CoRR
Himanshu Beniwal, Youngwoo Kim, Maarten Sap, Soham Dan, Thomas Hartvigsen
2025 A* conf
Composable Interventions for Language Models.
ICLR
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2025 J jnl
Constrained Language Generation with Discrete Diffusion Models.
CoRR
Michael Cardei, Jacob K. Christopher, Thomas Hartvigsen, Brian R. Bartoldson, Bhavya Kailkhura, Ferdinando Fioretto
2025 J jnl
Continually Self-Improving Language Models for Bariatric Surgery Question-Answering.
CoRR
Yash Kumar Atri, Thomas H. Shin, Thomas Hartvigsen
2025 A* conf
Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities.
EMNLP
Youngwoo Kim, Himanshu Beniwal, Steven L. Johnson, Thomas Hartvigsen
2025 J jnl
Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities.
CoRR
Yong-Woo Kim, Himanshu Beniwal, Steven L. Johnson, Thomas Hartvigsen
2025 J jnl
Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English.
CoRR
Runtao Zhou, Guangya Wan, Saadia Gabriel, Sheng Li, Alexander J. Gates, Maarten Sap, Thomas Hartvigsen
2025 J jnl
EDUMATH: Generating Standards-aligned Educational Math Word Problems.
CoRR
Bryan R. Christ, Penelope Molitz, Jonathan Kropko, Thomas Hartvigsen
2025 — conf
Efficient Knowledge Editing via Minimal Precomputation.
ACL (2)
Akshat Gupta, Maochuan Lu, Thomas Hartvigsen, Gopala Anumanchipalli
2025 J jnl
Efficient Knowledge Editing via Minimal Precomputation.
CoRR
Akshat Gupta, Maochuan Lu, Thomas Hartvigsen, Gopala Anumanchipalli
2025 J jnl
Estimating Semantic Alphabet Size for LLM Uncertainty Quantification.
CoRR
Lucas H. McCabe, Rimon Melamed, Thomas Hartvigsen, H. Howie Huang
2025 J jnl
KScope: A Framework for Characterizing the Knowledge Status of Language Models.
CoRR
Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle S. Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi
2025 A* conf
Learning under Temporal Label Noise.
ICLR
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
2025 — conf
Lifelong Knowledge Editing requires Better Regularization.
EMNLP (Findings)
Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2025 — conf
Lifelong Model Editing with Graph-Based External Memory.
ACL (Findings)
Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen
2025 J jnl
Lifelong Sequential Knowledge Editing without Model Degradation.
CoRR
Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2025 — conf
Low-Bit Quantization Favors Undertrained LLMs.
ACL (1)
Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu
2025 — conf
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes.
ACL (1)
Bryan R. Christ, Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen
2025 J jnl
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use.
CoRR
Shan Chen, Pedro Moreira, Yuxin Xiao, Sam Schmidgall, Jeremy L. Warner, Hugo J. W. L. Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle S. Bitterman
2025 J jnl
Medical Large Language Model Benchmarks Should Prioritize Construct Validity.
CoRR
Ahmed M. Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack
2025 J jnl
Model Editing with Graph-Based External Memory.
CoRR
Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen
2025 A* conf
ModelCitizens: Representing Community Voices in Online Safety.
EMNLP
Ashima Suvarna, Christina Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao, Thomas Hartvigsen, Saadia Gabriel
2025 J jnl
ModelCitizens: Representing Community Voices in Online Safety.
CoRR
Ashima Suvarna, Christina Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao, Thomas Hartvigsen, Saadia Gabriel
2025 J jnl
Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing.
CoRR
Akshat Gupta, Christine Fang, Atahan Ozdemir, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2025 J jnl
PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages.
CoRR
Priyanshu Kumar, Devansh Jain, Akhila Yerukola, Liwei Jiang, Himanshu Beniwal, Thomas Hartvigsen, Maarten Sap
2025 — conf
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity.
ICML (Position Papers)
Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack
2025 J jnl
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies.
CoRR
Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab
2025 A* conf
Sparse Autoencoder Features for Classifications and Transferability.
EMNLP
Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2025 J jnl
Sparse Autoencoder Features for Classifications and Transferability.
CoRR
Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2025 — conf
Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning.
CPAL
Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
2025 J jnl
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding.
CoRR
Jameson Sandler, Jacob K. Christopher, Thomas Hartvigsen, Ferdinando Fioretto
2025 J jnl
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior.
npj Digit. Medicine
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman
2025 A* conf
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs.
ICML
Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen
2024 J jnl
Are Language Models Actually Useful for Time Series Forecasting?
CoRR
Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
2024 J jnl
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2024 J jnl
BendVLM: Test-Time Debiasing of Vision-Language Embeddings.
CoRR
Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K. Sharma, Thomas Hartvigsen, Marzyeh Ghassemi
2024 J jnl
Composable Interventions for Language Models.
CoRR
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2024 J jnl
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding.
CoRR
Shenghuan Sun, Gregory M. Goldgof, Alexander Schubert, Zhiqing Sun, Thomas Hartvigsen, Atul J. Butte, Ahmed M. Alaa
2024 J jnl
Explaining deep multi-class time series classifiers.
Knowl. Inf. Syst.
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
2024 — conf
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.
MICCAI (10)
Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi
2024 J jnl
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.
CoRR
Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi
2024 — conf
Identifying Implicit Social Biases in Vision-Language Models.
AIES (1)
Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi
2024 J jnl
Identifying Implicit Social Biases in Vision-Language Models.
CoRR
Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi
2024 J jnl
Improving Black-box Robustness with In-Context Rewriting.
CoRR
Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
2024 J jnl
Improving Black-box Robustness with In-Context Rewriting.
Trans. Mach. Learn. Res.
Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
2024 — conf
Language Models Still Struggle to Zero-shot Reason about Time Series.
EMNLP (Findings)
Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff
2024 — conf
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.
EMNLP (Findings)
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2024 J jnl
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.
CoRR
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2024 J jnl
Learning from Time Series under Temporal Label Noise.
CoRR
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
2024 J jnl
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens.
CoRR
Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu
2024 — conf
MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations.
EMNLP (Findings)
Bryan R. Christ, Jonathan Kropko, Thomas Hartvigsen
2024 J jnl
MATHWELL: Generating Educational Math Word Problems at Scale.
CoRR
Bryan R. Christ, Jonathan Kropko, Thomas Hartvigsen
2024 J jnl
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes.
CoRR
Bryan R. Christ, Zack Gottesman, Jonathan Kropko, Thomas Hartvigsen
2024 J jnl
Offline Reinforcement Learning With Combinatorial Action Spaces.
CoRR
Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab
2024 J jnl
PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models.
CoRR
Devansh Jain, Priyanshu Kumar, Samuel Gehman, Xuhui Zhou, Thomas Hartvigsen, Maarten Sap
2024 B conf
SkipSNN: Efficiently Classifying Spike Trains with Event-attention.
IEEE Big Data
Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong
2024 J jnl
SkipSNN: Efficiently Classifying Spike Trains with Event-attention.
CoRR
Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong
2024 — conf
TAXI: Evaluating Categorical Knowledge Editing for Language Models.
ACL (Findings)
Derek Powell, Walter Gerych, Thomas Hartvigsen
2024 J jnl
TAXI: Evaluating Categorical Knowledge Editing for Language Models.
CoRR
Derek Powell, Walter Gerych, Thomas Hartvigsen
2024 J jnl
UniTS: Building a Unified Time Series Model.
CoRR
Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
2024 J jnl
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.
CoRR
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman
2023 J jnl
Continuous Time Evidential Distributions for Irregular Time Series.
CoRR
Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini
2023 J jnl
Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data.
npj Digit. Medicine
Sujay Nagaraj, Sarah M. Goodday, Thomas Hartvigsen, Adrien Boch, Kopal Garg, Sindhu C. M. Gowda, Luca Foschini, Marzyeh Ghassemi, Stephen H. Friend, Anna Goldenberg
2023 J jnl
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.
CoRR
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
2023 J jnl
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks.
CoRR
Thomas Hartvigsen, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
2023 J jnl
Interpretable Unified Language Checking.
CoRR
Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, Wei Fang, Luc Gaitskell, Thomas Hartvigsen, Xixin Wu, Danny Fox, Helen Meng, James R. Glass
2023 A* conf
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.
AAAI
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
2023 — conf
Machine Learning for Health (ML4H) 2023.
ML4H@NeurIPS
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023 J jnl
Machine Learning for Health symposium 2023 - Findings track.
CoRR
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh
2023 B conf
Multi-State Brain Network Discovery.
IEEE Big Data
Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong
2023 J jnl
Multi-State Brain Network Discovery.
CoRR
Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong
2023 B conf
Stabilizing Adversarial Training for Generative Networks.
IEEE Big Data
Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner
2023 — conf
Taking Off with AI: Lessons from Aviation for Healthcare.
EAAMO
Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi
2022 J jnl
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.
CoRR
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
2022 A* conf
Class-Specific Explainability for Deep Time Series Classifiers.
ICDM
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
2022 J jnl
Class-Specific Explainability for Deep Time Series Classifiers.
CoRR
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
2022 A conf
Positive Unlabeled Learning with a Sequential Selection Bias.
SDM
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu
2022 A* conf
Recovering the Propensity Score from Biased Positive Unlabeled Data.
AAAI
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
2022 A conf
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.
CIKM
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
2022 A conf
Stop&Hop: Early Classification of Irregular Time Series.
CIKM
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
2022 J jnl
Stop&Hop: Early Classification of Irregular Time Series.
CoRR
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
2022 B conf
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks.
LREC
Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke A. Rundensteiner
2022 J jnl
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks.
CoRR
Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke A. Rundensteiner
2022 — conf
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations.
FAccT
Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
2022 J jnl
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations.
CoRR
Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
2022 — conf
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.
ACL (1)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
2022 J jnl
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.
CoRR
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
2021 A* conf
Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks.
KDD
Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie
2021 — conf
Human-like Explanation for Text Classification With Limited Attention Supervision.
IEEE BigData
Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2021 A conf
Learning Saliency Maps to Explain Deep Time Series Classifiers.
CIKM
Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner
2021 A* conf
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.
NeurIPS
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
2021 A* conf
Semi-Supervised Knowledge Amalgamation for Sequence Classification.
AAAI
Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2021 — conf
Variational Open Set Recognition (VOSR).
IEEE BigData
Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu
2020 — conf
Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection.
HEALTHINF
Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal T. Claypool, Elke A. Rundensteiner
2020 A* conf
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
ACL
Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner
2020 — conf
Learning Similarity-Preserving Meta-Embedding for Text Mining.
IEEE BigData
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2020 A conf
Learning to Selectively Update State Neurons in Recurrent Networks.
CIKM
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020 A* conf
Recurrent Halting Chain for Early Multi-label Classification.
KDD
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2019 A* conf
Adaptive-Halting Policy Network for Early Classification.
KDD
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining.
BHI
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Learning Temporal Relevance in Longitudinal Medical Notes.
IEEE BigData
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention.
IEEE BigData
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2018 — conf
Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data.
BIOSTEC (Selected Papers)
Thomas Hartvigsen, Cansu Sen, Elke A. Rundensteiner
2018 — conf
Early Prediction of MRSA Infections using Electronic Health Records.
HEALTHINF
Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke A. Rundensteiner
2017 — conf
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining.
ECML/PKDD (3)
Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool