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Saeed Maleki, Madan Musuvathi, Todd Mytkowicz and

Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum

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Nianlong Li, Teng Han, Feng Tian and

Jin Huang, Minghui Sun, Pourang Irani, Jason Alexander

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virtual reality, pen input, finger and wrist dexterity, grip postures, handheld controller, spatial target selection

David Bolin, Jonas Wallin

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kernel methods

WOOJUN KIM, Jongeui Park, Youngchul Sung

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attention, intention, communication, Multi-agent reinforcement learning

Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung

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weakly supervised clustering, weakly supervised learning, multiple instance learning

Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer

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Olivier Henaff

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Unsupervised and Semi-Supervised Learning

Zinan Lin, Vyas Sekar, Giulia Fanti

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James Charles, Stefano Bucciarelli, Roberto Cipolla

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one shot learning, domain adaptation, domain transfer, domain shift, text recognition, word spotting, meter reading

Hao Chen, Fuzhen Zhuang, Li Xiao and

Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He

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Machine Learning, Classification, Learning Graphical Models, Bio/Medicine

Jin Gao, Weiming Hu, Yan Lu

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online learning, visual tracking, continual learning, recursive least-squares estimation, deep learning, memory retention, recursive learning, mini-batch sgd, normal equation, mlp layer

Eyal Cidon, Jenya Pergament, Zain Asgar and

Asaf Cidon, Sachin Katti

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Gargi Roy, Lipika Dey, Mohammad Shakir, Tirthankar Dasgupta

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Weiyang Liu, Rongmei Lin, Zhen Liu and

Li Xiong, Bernhard Schölkopf, Adrian Weller

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Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying

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Theory, Statistical Learning Theory

Bojan Karlaš, Matteo Interlandi, Cedric Renggli and

Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer

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machine learning, overfitting prevention, data management, continuous integration, testing

Dario Pavllo, Graham Spinks, Thomas Hofmann and

Marie-Francine Moens, Aurelien Lucchi

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Zhanghao Wu*, Zhijian Liu*, Ji Lin and

Yujun Lin, Song Han

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efficient model, transformer

Shaoli Huang, Xinchao Wang, Dacheng Tao

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Cyrus Cousins

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theory, machine learning

Yining Hong, Li Yi, Josh Tenenbaum and

Antonio Torralba, Chuang Gan

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generative model

Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi

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optimization, machine learning, fairness, interpretability

Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang

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3d shape descriptor, 3d shape recognition, unsupervised learning of shape representation, 3d point distribution

Pengfei Cao, Yubo Chen, Kang Liu and

Jun Zhao, Shengping Liu, Weifeng Chong

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Automatic Coding, International Diseases, manual coding, automatic task

Wenda Li, Lei Yu, Yuhuai Wu, Lawrence Paulson

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reasoning, mathematical reasoning, transformer, benchmark, dataset

Antonio Blanca, Zongchen Chen, Eric Vigoda, Daniel Stefankovic

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Distribution learning/testing, Computational complexity, Learning from complex/structured data (e.g. networks, time series)

Geoffrey Roeder, Luke Metz, Durk Kingma

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Deep Learning, Embedding and Representation learning

Etai Littwin, Ben Myara, Sima Sabah and

Joshua Susskind, Shuangfei Zhai, Oren Golan

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Kaidi Xu, Huan Zhang, Shiqi Wang and

Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh

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branch and bound, neural network verification

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Algorithms -> Clustering, Probabilistic Methods -> Causal Inference

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space-time super-resolution, video super-resolution, video frame interpolation, video enhancement, joint learning on multiple resolutions

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User Prediction, Language processing, Hierarchical Modeling, Message-Level Attention

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He Zhao, Longtao Huang, Rong Zhang and

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Xiang Zhang, Kihyuk Sohn, Tomas Pfister

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deep learning

Naganand Yadati, Dayanidhi R S, Vaishnavi S and

Indira K M, Srinidhi G

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