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Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur

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Zizhao Zhang, Han Zhang, Sercan Ö. Arik and

Honglak Lee, Tomas Pfister

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robust training, meta learning, noise labels

Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain

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Optimization, Convex Optimization

Jie Lei, Licheng Yu, Tamara Berg, Mohit Bansal

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video-and-language prediction, ai models, vlep, adversarial procedure

Raquel Robinson, Elizabeth Reid, James Fey and

Ansgar Depping, Katherine Isbister, Regan Mandryk

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emotion, body games, physiological data, social games

Endri Kacupaj, Hamid Zafar, Jens Lehmann, Maria Maleshkova

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Gongfan Fang, Jie Song, Xinchao Wang and

Chengchao Shen, Xingen Wang, Mingli Song

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Machine Learning, Deep Learning, Explainable/Interpretable Machine Learning, Transfer, Adaptation, Multi-task Learning

Fangzhou Mu, Yingyu Liang, Yin Li

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representation learning, gradient features, deep learning

Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud

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Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui

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response generation, neural agents, scoring method, quality pairs

Michał Wrona

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constraint satisfaction problems, bounded width, local consistency, bounded relational width, finitely bounded homogeneous structures, bounded strict width

Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi and

Noboru Harada, Kunio Kashino

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Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang

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Yulin Wang, Zanlin Ni, Shiji Song and

Le Yang, Gao Huang

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Deep learning, Locally supervised training

Geoff Pleiss, Martin Jankowiak, David Eriksson and

Anil Damle, Jacob Gardner

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Data, Challenges, Implementations, and Software -> Benchmarks; Deep Learning -> Adversarial Networks, Deep Learning -> Generative Models

Matt McCutchen, Judith Borghouts, Andrew D. Gordon and

Simon Peyton Jones, Advait Sarkar

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Mike Gartrell, Insu Han, Elvis Dohmatob and

Jennifer Gillenwater, Victor-Emmanuel Brunel

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submodular optimization, determinantal point processes, unsupervised learning, representation learning

Yanjun Han, Soham Jana, Yihong Wu

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Irvan Jahja, Haifeng Yu

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T-interval dynamic networks, sublinear algorithms, distributed algorithms

Muchen Li, Leonid Sigal

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transformers, vision

Andrew Maimone, Junren Wang

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near-eye display, holography

Yining Hong, Qing Li, Ran Gong and

Daniel Ciao, Siyuan Huang, Song-Chun Zhu

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Arthur Boixel, Ronald de Haan

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Timo Berthold, Gregor Hendel

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Ruibo Liu, Chenyan Jia, Jason Wei and

Guangxuan Xu, Lili Wang, Soroush Vosoughi

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Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi

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deep learning, machine learning, vision, transfer learning

Sicheng Zhao, Yezhen Wang, Bo Li and

Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

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Ali Burak Ünal, Mete Akgün, Nico Pfeifer

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Yehao Li, Yingwei Pan, Ting Yao and

Jingwen Chen, Tao Mei

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Dandan Shan, Jiaqi Geng, Michelle Shu, David F. Fouhey

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hand understanding, human object interaction, interaction detection, hand detection, video dataset, affordance, hand mesh prediction, hand reconstruction

Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs

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Nicolas Turpault, Romain Serizel

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Rahul Aralikatte, Mostafa Abdou, Heather C Lent and

Daniel Hershcovich, Anders Søgaard

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Masahiro Kaneko, Masato Mita, Shun Kiyono and

Jun Suzuki, Kentaro Inui

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Grammatical Correction, GEC, Encoder-Decoder Models, Pre-trained Models

Peiwen Lin, Peng Sun, Guangliang Cheng and

Sirui Xie, Xi Li, Jianping Shi

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semantic segmentation, real-time, neural architecture search, graph convolution network, computer vision

Richard Csaky, Gábor Recski

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Gadi Naveh, Zohar Ringel

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theory, deep learning, optimization, kernel methods