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Publication search results
found 250 matches
- 2024
- Yi-Hsiu Chen, Yehuda Lindell:
Feldman's Verifiable Secret Sharing for a Dishonest Majority. IACR Commun. Cryptol. 1(1): 16 (2024) - Yi-Hsiu Chen, Yehuda Lindell:
Optimizing and Implementing Fischlin's Transform for UC-Secure Zero Knowledge. IACR Commun. Cryptol. 1(2): 11 (2024) - Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. 25: 70:1-70:53 (2024) - Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang, Yung-Hui Chen, Jia-Rou Lin:
MindMe: an AI-Powered personality assessment tool. Multim. Tools Appl. 83(12): 35943-35955 (2024) - Hayley I. Evans, Myeonghan Ryu, Theresa Hsieh, Jiawei Zhou, Kefan Xu, Kenneth W. Akers, Andrew M. Sherrill, Rosa I. Arriaga:
Using Sensor-Captured Patient-Generated Data to Support Clinical Decision-making in PTSD Therapy. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-28 (2024) - Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. Trans. Mach. Learn. Res. 2024 (2024) - Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. ACL (Findings) 2024: 16031-16046 - Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. CVPR 2024: 15996-16005 - Martin Biallas, Andrew Paice:
From Perception to Participation: Rethinking Research on Phantom Vibration Syndrome through Citizen Science and Smartphone Technology. HSI 2024: 1-6 - Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. MICCAI (1) 2024: 711-721 - Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng:
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. RecSys 2024: 829-831 - Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi:
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. RecSys 2024: 758-761 - Andrew Lamb, Yijie Shen, Daniël Heres, Jayjeet Chakraborty, Mehmet Ozan Kabak, Liang-Chi Hsieh, Chao Sun:
Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine. SIGMOD Conference Companion 2024: 5-17 - Nathaniel Safron, Tzu-Ang Chao, Shengman Li, Shreyam Natani, San Lin Liew, Carlo Gilardi, Hsin-Yuan Chiu, Sheng-Kai Su, Andrew Bechdolt, Gilad Zeevi, Zichen Zhang, Matthias Passlack, Vincent D.-H. Hou, Harshil Kashyap, Chao-Hsin Chien, Prabhakar Bandaru, Andrew C. Kummel, H.-S. Philip Wong, Subhasish Mitra, Gregory Pitner, Iuliana P. Radu:
High Performance Transistor of Aligned Carbon Nanotubes in a Nanosheet Structure. VLSI Technology and Circuits 2024: 1-2 - De-Qi You, Win-San Khwa, Jui-Jen Wu, Chuan-Jia Jhang, Guan-Yi Lin, Po-Jung Chen, Ting-Chien Chiu, Fang-Yi Chen, Andrew Lee, Yu-Cheng Hung, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Yu-Der Chih, Tsung-Yung Jonathan Chang, Meng-Fan Chang:
A 22nm Nonvolatile AI-Edge Processor with 21.4TFLOPS/W using 47.25Mb Lossless-Compressed-Computing STT-MRAM Near-Memory-Compute Macro. VLSI Technology and Circuits 2024: 1-2 - Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. CoRR abs/2401.09031 (2024) - Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly:
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? CoRR abs/2402.08096 (2024) - Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen:
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR abs/2402.15504 (2024) - Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. CoRR abs/2402.16459 (2024) - Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. CoRR abs/2404.00103 (2024) - Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR abs/2407.00031 (2024) - Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - Jack He, Jianxing Zhao, Andrew Bai, Cho-Jui Hsieh:
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models. CoRR abs/2407.21159 (2024) - Nikhil Khani, Shuo Yang, Aniruddh Nath, Yang Liu, Pendo Abbo, Li Wei, Shawn Andrews, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi:
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. CoRR abs/2408.14678 (2024) - Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, Cho-Jui Hsieh:
CLUE: Concept-Level Uncertainty Estimation for Large Language Models. CoRR abs/2409.03021 (2024) - Misun Min, Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Tri Nguyen, Haomin Yuan, Patrick C. Shriwise, Stefan Kerkemeier, Andrew Davis, Aleksandr Dubas, Rupert Eardly, Rob Akers, Thilina Rathnayake, Tim Warburton:
Exascale Simulations of Fusion and Fission Systems. CoRR abs/2409.19119 (2024) - Yi-Hsiu Chen, Yehuda Lindell:
Feldman's Verifiable Secret Sharing for a Dishonest Majority. IACR Cryptol. ePrint Arch. 2024: 31 (2024) - Yi-Hsiu Chen, Yehuda Lindell:
Optimizing and Implementing Fischlin's Transform for UC-Secure Zero-Knowledge. IACR Cryptol. ePrint Arch. 2024: 526 (2024) - 2023
- Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023)
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