• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 495 matches

• 2024
• 
  Daniel Hsu, Jizhou Huang, Brendan Juba:
  Polynomial time auditing of statistical subgroup fairness for Gaussian data. CoRR abs/2401.16439 (2024)
• 
  Samuel Deng, Daniel Hsu:
  Multi-group Learning for Hierarchical Groups. CoRR abs/2402.00258 (2024)
• 
  Clayton Sanford, Daniel Hsu, Matus Telgarsky:
  Transformers, parallel computation, and logarithmic depth. CoRR abs/2402.09268 (2024)
• 2023
• 
  Brian Kwan, Tobias Fuhrer, Daniel Montemayor, Jeffery C. Fink, Jiang He, Chi-yuan Hsu, Karen Messer, Robert G. Nelson, Minya Pu, Ana C. Ricardo, Hernan Rincon-Choles, Vallabh O. Shah, Hongping Ye, Jing Zhang, Kumar Sharma, Loki Natarajan:
  A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study. BMC Bioinform. 24(1): 57 (2023)
• 
  Chia-Wei Chao, Daniel Winden Hwang, Hung-Wen Tsai, Shih-Hsuan Lin, Wei-Li Chen, Chun-Rong Huang, Pau-Choo Chung:
  Multi-Magnification Attention Convolutional Neural Networks [AI-eXplained]. IEEE Comput. Intell. Mag. 18(3): 54-55 (2023)
• 
  Daniel S. Berger, Daniel Ernst, Huaicheng Li, Pantea Zardoshti, Monish Shah, Samir Rajadnya, Scott Lee, Lisa Hsu, Ishwar Agarwal, Mark D. Hill, Ricardo Bianchini:
  Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms. IEEE Micro 43(2): 30-38 (2023)
• 
  Rachel B. Seymour, Meghan K. Wally, Joseph R. Hsu, Michael Beuhler, Michael J. Bosse, Michael Gibbs, Christopher Griggs, Steven Jarrett, Daniel Leas, Susan Odum, Tamar Roomian, Michael S. Runyon, Animita Saha, Sharon Schiro, D. Matthew Sullivan, Brad Watling, Stephen Wyatt, Ziqing Yu:
  Impact of clinical decision support on controlled substance prescribing. BMC Medical Informatics Decis. Mak. 23(1): 234 (2023)
• 
  Zheheng Jiang, Zhihua Liu, Long Chen, Lei Tong, Xiangrong Zhang, Xiangyuan Lan, Danny Crookes, Ming-Hsuan Yang, Huiyu Zhou:
  Detecting and Tracking of Multiple Mice Using Part Proposal Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9806-9820 (2023)
• 
  Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus:
  BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39(3): 2289-2307 (2023)
• 
  Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang:
  Introducing Semantics into Speech Encoders. ACL (1) 2023: 11413-11429
• 
  Huaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Rajadnya, Scott Lee, Ishwar Agarwal, Mark D. Hill, Marcus Fontoura, Ricardo Bianchini:
  Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. ASPLOS (2) 2023: 574-587
• 
  Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-Yu Huang, Shang-Wen Li, Hung-Yi Lee:
  Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. ASRU 2023: 1-8
• 
  Jiatong Shi, William Chen, Dan Berrebbi, Hsiu-Hsuan Wang, Wei-Ping Huang, En-Pei Hu, Ho-Lam Chuang, Xuankai Chang, Yuxun Tang, Shang-Wen Li, Abdelrahman Mohamed, Hung-Yi Lee, Shinji Watanabe:
  Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. ASRU 2023: 1-8
• 
  Rabab Alkhalifa, Iman Munire Bilal, Hsuvas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela Nicole González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
  Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF (Working Notes) 2023: 2181-2203
• 
  Rabab Alkhalifa, Iman Munire Bilal, Hsuvas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
  Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF 2023: 440-458
• 
  Navid Ardeshir, Daniel J. Hsu, Clayton Hendrick Sanford:
  Intrinsic dimensionality and generalization properties of the R-norm inductive bias. COLT 2023: 3264-3303
• 
  Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
  Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL 2023: 602-641
• 
  Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo:
  Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. CVPR Workshops 2023: 1495-1521
• 
  Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj S. Bjørner, Jason Cong:
  Scalable Optimal Layout Synthesis for NISQ Quantum Processors. DAC 2023: 1-6
• 
  Rabab Alkhalifa, Iman Munire Bilal, Hsubhas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga:
  LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. ECIR (3) 2023: 499-505
• 
  Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
  Liquid Structural State-Space Models. ICLR 2023
• 
  Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
  SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR 2023
• 
  Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus:
  On the Forward Invariance of Neural ODEs. ICML 2023: 38100-38124
• 
  Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus:
  Towards Cooperative Flight Control Using Visual-Attention. IROS 2023: 6334-6341
• 
  Annan Zhang, Tsun-Hsuan Wang, Ryan L. Truby, Lillian Chin, Daniela Rus:
  Machine Learning Best Practices for Soft Robot Proprioception. IROS 2023: 2564-2571
• 
  Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus:
  Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC 2023: 1099-1111
• 
  Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus:
  Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS 2023
• 
  Clayton Sanford, Daniel J. Hsu, Matus Telgarsky:
  Representational Strengths and Limitations of Transformers. NeurIPS 2023
• 
  Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh B. Tenenbaum, Chuang Gan, Daniela Rus:
  DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS 2023
• 
  Jialun Lyu, Marisa You, Celine Irvene, Mark Jung, Tyler Narmore, Jacob Shapiro, Luke Marshall, Savyasachi Samal, Ioannis Manousakis, Lisa Hsu, Preetha Subbarayalu, Ashish Raniwala, Brijesh Warrier, Ricardo Bianchini, Bianca Schroeder, Daniel S. Berger:
  Hyrax: Fail-in-Place Server Operation in Cloud Platforms. OSDI 2023: 287-304

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