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Publication search results
found 391 matches
- 2024
- Yoon Gyo Jung, Jaewoo Park, Cheng-Yaw Low, Jacky Chen Long Chai, Leslie Ching Ow Tiong, Andrew Beng Jin Teoh:
Periocular embedding learning with consistent knowledge distillation from face. Neurocomputing 575: 127263 (2024) - Ching-I Huang, Sun-Fu Chou, Li-Wei Liou, Nathan Alan Moy, Chi-Ruei Wang, Hsueh-Cheng Wang, Charles Ahn, Chun-Ting Huang, Lap-Fai Yu:
An Evaluation Framework of Human-Robot Teaming for Navigation Among Movable Obstacles via Virtual Reality-Based Interactions. IEEE Robotics Autom. Lett. 9(4): 3411-3418 (2024) - Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR abs/2402.10450 (2024) - Anirudh Prabhakaran, YeKun Xiao, Ching-Yu Cheng, Dianbo Liu:
Improve Robustness of Eye Disease Detection by including Learnable Probabilistic Discrete Latent Variables into Machine Learning Models. CoRR abs/2402.16865 (2024) - Jyun-An Lin, Yun-Chien Cheng, Ching-Kai Lin:
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA - A Semi-Supervised Video Object Detection Method. CoRR abs/2404.01929 (2024) - Corby Rosset, Ching-An Cheng, Arindam Mitra, Michael Santacroce, Ahmed Awadallah, Tengyang Xie:
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences. CoRR abs/2404.03715 (2024) - 2023
- Yi-Ting Chou, Ching-Ting Lin, Ting-An Chang, Ya-Lun Wu, Cheng-En Yu, Tsung-Yu Ho, Hui-Yi Chen, Kai-Cheng Hsu, Oscar Kuang-Sheng Lee:
Development of artificial intelligence-based clinical decision support system for diagnosis of meniscal injury using magnetic resonance images. Biomed. Signal Process. Control. 82: 104523 (2023) - Chia-Ching Yuan, Cheng-Hsuan Li, Chin-Cheng Peng:
Development of mobile interactive courses based on an artificial intelligence chatbot on the communication software LINE. Interact. Learn. Environ. 31(6): 3562-3576 (2023) - Yueh-Cheng Kuo, Ching-Sung Liu:
An index search method based inner-outer iterative algorithm for solving nonnegative least squares problems. J. Comput. Appl. Math. 424: 114954 (2023) - Hui-Juan Wang, Kai-Yu Hsieh, Han-Cheng Yu, Jui-Ching Tsou, Yu-An Shih, Chen-Hua Huang, Yao-Chung Fan:
Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation. ACL (Findings) 2023: 12477-12491 - Ching-Chieh Chen, Wei-Cheng Hsu, Tzu-Han Lin, Kuan-Dar Chen, Yung-An Tsou, Yi-Wen Liu:
Classification of Vocal Cord Disorders: Comparison Across Voice Datasets, Speech Tasks, and Machine Learning Methods. APSIPA ASC 2023: 1868-1873 - Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL 2023: 3894-3908 - Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov:
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRL 2023: 2624-2641 - Cheng-Wei Ching, Chirag Gupta, Zi Huang, Liting Hu:
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework. ICDCS Workshops 2023: 7-12 - Chia-Ching Lin, Bo-Yuan Cheng, Ru-Chu Shih:
Developing an Immersive Virtual Reality-Assisted Learning System to Support Scanning Electron Microscopy Learning Activities. ICITL 2023: 494-500 - Sanae Amani, Lin Yang, Ching-An Cheng:
Provably Efficient Lifelong Reinforcement Learning with Linear Representation. ICLR 2023 - Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. ICML 2023: 19360-19384 - Hoai-An Nguyen, Ching-An Cheng:
Provable Reset-free Reinforcement Learning by No-Regret Reduction. ICML 2023: 25939-25955 - Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan:
Hindsight Learning for MDPs with Exogenous Inputs. ICML 2023: 31877-31914 - Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng:
Adversarial Model for Offline Reinforcement Learning. NeurIPS 2023 - Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng:
Survival Instinct in Offline Reinforcement Learning. NeurIPS 2023 - Wen-Chia Wu, Terry Y. T. Hung, D. Mahaveer Sathaiya, Dongxu Fan, Goutham Arutchelvan, Chen-Feng Hsu, Sheng-Kai Su, Ang-Sheng Chou, Edward Chen, Weisheng Li, Zhihao Yu, Hao Qiu, Ying-Mei Yang, Kuang-I Lin, Yun-Yang Shen, Wen-Hao Chang, San Lin Liew, Vincent D.-H. Hou, Jin Cai, Chung-Cheng Wu, Jeff Wu, H.-S. Philip Wong, Xinran Wang, Chao-Hsin Chien, Chao-Ching Cheng, Iuliana P. Radu:
Scaled contact length with low contact resistance in monolayer 2D channel transistors. VLSI Technology and Circuits 2023: 1-2 - Hoai-An Nguyen, Ching-An Cheng:
Provable Reset-free Reinforcement Learning by No-Regret Reduction. CoRR abs/2301.02389 (2023) - Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng:
Adversarial Model for Offline Reinforcement Learning. CoRR abs/2302.11048 (2023) - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov:
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRR abs/2303.08789 (2023) - Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. CoRR abs/2303.17156 (2023) - Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng:
Improving Offline RL by Blending Heuristics. CoRR abs/2306.00321 (2023) - Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng:
Survival Instinct in Offline Reinforcement Learning. CoRR abs/2306.03286 (2023) - Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR abs/2307.00117 (2023)
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