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Publication search results
found 93 matches
- 2024
- Howard Yen, Tianyu Gao, Danqi Chen:
Long-Context Language Modeling with Parallel Context Encoding. ACL (1) 2024: 2588-2610 - Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. NAACL-HLT (Findings) 2024: 4502-4520 - Howard Yen, Tianyu Gao, Danqi Chen:
Long-Context Language Modeling with Parallel Context Encoding. CoRR abs/2402.16617 (2024) - Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard:
MobileNetV4 - Universal Models for the Mobile Ecosystem. CoRR abs/2404.10518 (2024) - Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu:
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR abs/2407.12883 (2024) - Xijun Wang, Dongshan Ye, Chenyuan Feng, Howard H. Yang, Xiang Chen, Tony Q. S. Quek:
Trustworthy Image Semantic Communication with GenAI: Explainablity, Controllability, and Efficiency. CoRR abs/2408.03806 (2024) - Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Andrew G. Howard:
Robust Training of Neural Networks at Arbitrary Precision and Sparsity. CoRR abs/2409.09245 (2024) - Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen:
How to Train Long-Context Language Models (Effectively). CoRR abs/2410.02660 (2024) - Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen:
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. CoRR abs/2410.02694 (2024) - 2023
- Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu:
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. 72(11): 14002-14015 (2023) - Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen:
Enabling Large Language Models to Generate Text with Citations. EMNLP 2023: 6465-6488 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. CoRR abs/2305.04978 (2023) - Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen:
Enabling Large Language Models to Generate Text with Citations. CoRR abs/2305.14627 (2023) - Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna:
Improving Interpersonal Communication by Simulating Audiences with Language Models. CoRR abs/2311.00687 (2023) - 2022
- Yen-Chun Chou, Howard Hao-Chun Chuang, Ting-Peng Liang:
Elaboration likelihood model, endogenous quality indicators, and online review helpfulness. Decis. Support Syst. 153: 113683 (2022) - Ping Chou, Howard Hao-Chun Chuang, Yen-Chun Chou, Ting-Peng Liang:
Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning. Eur. J. Oper. Res. 296(2): 635-651 (2022) - Anastasia Yendiki, Manisha Aggarwal, Markus Axer, Amy F. D. Howard, Anne-Marie van Cappellen van Walsum, Suzanne N. Haber:
Post mortem mapping of connectional anatomy for the validation of diffusion MRI. NeuroImage 256: 119146 (2022) - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) 2022: 5056-5072 - John J. Howard, Eli J. Laird, Rebecca E. Rubin, Yevgeniy B. Sirotin, Jerry L. Tipton, Arun R. Vemury:
Evaluating Proposed Fairness Models for Face Recognition Algorithms. ICPR Workshops (1) 2022: 431-447 - John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin:
Disparate Impact in Facial Recognition Stems from the Broad Homogeneity Effect: A Case Study and Method to Resolve. ICPR Workshops (1) 2022: 448-464 - John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin, Rebecca E. Rubin, Jerry L. Tipton, Arun R. Vemury:
Evaluating Proposed Fairness Models for Face Recognition Algorithms. CoRR abs/2203.05051 (2022) - Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR abs/2210.12365 (2022) - 2021
- Anjali Balagopal, Dan Nguyen, Howard E. Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad-Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve B. Jiang:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. Medical Image Anal. 72: 102101 (2021) - John J. Howard, Yevgeniy B. Sirotin, Jerry L. Tipton, Arun R. Vemury:
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics. IEEE Trans. Biom. Behav. Identity Sci. 3(4): 550-560 (2021) - Ye Ma, Gang Chen, Mingsong Lv, Wang Yi, Xue Liu, Hao Chen, Bo Zhu:
Efficient and Effective Dimension Control in Automotive Applications. IEEE Trans. Ind. Informatics 17(3): 1583-1591 (2021) - John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi:
A PheWAS Model of Autism Spectrum Disorder. EMBC 2021: 2110-2114 - Joan Cahill, Vivienne Howard, Yufei Huang, Junchi Ye, Stephen Ralph, Aidan Dillon:
Addressing Human Factors and Ethics in the Design of 'Future Work' and Intelligent Systems for Use in Financial Services - Person Centered Operations, Intelligent Work & the Triple Bottom Line. HCI (16) 2021: 3-13
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