George Tattersall, Dizhong Zhu, William A. P. Smith and

Sebastian Deterding, Patrik Huber

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Hengli Wang, Rui Fan, Ming Liu

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Ossama Ahmed, Frederik Träuble, Anirudh Goyal and

Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schoelkopf, Stefan Bauer

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reinforcement learning, transfer learning, robotics, domain adaptation, generalization, causality, sim2real transfer

Kihoon Son, Hwiwon Chun, Sojin Park, Kyung Hoon Hyun

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spatial design, design support system, design collaboration, prototyping, tangible user interface, augmented reality, human-computer interaction

Graham Dove, Anne-Laure Fayard

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machine learning, ux design, generative metaphor, monster theory

Thodoris Sotiropoulos, Stefanos Chaliasos, Dimitris Mitropoulos, Diomidis Spinellis

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JVM-based builds, Make, Gradle, incremental builds, parallel builds

Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint

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reinforcement learning and planning

Ruoyu Cheng, Junchi Yan

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optimization, reinforcement learning and planning, machine learning, graph learning

Xinyu Hua, Lu Wang

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generation, pre-trained transformers, content-controlled framework, pair

Yaroslav Ganin, Sergey Bartunov, Yujia Li and

Ethan Keller, Stefano Saliceti

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machine learning, transformers, generative model

Murtaza Dalal, Deepak Pathak, Russ Salakhutdinov

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optimization, reinforcement learning and planning

Wenyu Han, Siyuan Xiang, Chenhui Liu and

Ruoyu Wang, Chen Feng

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reasoning, line-drawings, dataset

Yuxiao Zhou, Marc Habermann, Weipeng Xu and

Ikhsanul Habibie, Christian Theobalt, Feng Xu

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real-time hand motion capture, monocular hand tracking, multi-modal data, hand pose & shape estimation

Aiham Taleb, Winfried Loetzsch, Noel Danz and

Julius Severin, Thomas Gaertner, Benjamin Bergner, Christoph Lippert

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Avi Singh, Albert Yu, Jonathan Yang and

Jesse Zhang, Aviral Kumar, Sergey Levine

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Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

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Moran Li, Yuan Gao, Nong Sang

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Hyunsoo Chung, Jungtaek Kim, Boris Knyazev and

Jinhwi Lee, Graham Taylor, Jaesik Park, Minsu Cho

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reinforcement learning and planning

Yue Zhao, Xiyang Hu, Cheng Cheng and

Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

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Algorithms -> Adversarial Learning, Algorithms -> Image Segmentation; Algorithms -> Semi-Supervised Learning; Applications -> Computer Vision; Applications -> Imag

Yue Zhao, Xiyang Hu, Cheng Cheng and

Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

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Algorithms -> Adversarial Learning, Algorithms -> Image Segmentation; Algorithms -> Semi-Supervised Learning; Applications -> Computer Vision; Applications -> Imag

Xingyu Lin, Yufei Wang, Jake Olkin, David Held

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Michael Hahn

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NLP, Self-Attention Models, Neural Models, Transformers

Sarah Spall, Neil Mitchell, Sam Tobin-Hochstadt

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build systems, functional programming

Maitraye Das, Katya Borgos-Rodriguez, Anne Marie Piper

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disability, design, making, vision impairments, materiality

Elvira Albert, Shelly Grossman, Noam Rinetzky and

Clara Rodríguez-Núñez, Albert Rubio, Mooly Sagiv

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logic and verification, smart contracts, blockchain, program analysis, invariants, program verification

Cheng-Zhi Anna Huang, Hendrik Vincent Koops, Ed Newton-Rex and

Monica Dinculescu, Carrie Cai

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Human-centered MIR, User-centered evaluation, Domain knowledge, Machine learning/Artificial intelligence for music

Ankit Vani, Max Schwarzer, Yuchen Lu and

Eeshan Dhekane, Aaron Courville

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clevr, vqa, shapes, neural module network, cultural transmission, iterated learning, visual question answering, systematic generalization, compositionality

Terrance Boult, Przemyslaw Grabowicz, Derek Prijatelj and

Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen M. Jafarzadeh, Toqueer Ahmad, Akshay Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Scheirer Walter

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Lei Zhao, Jun Wen, Pengfei Wang, Nenggan Zheng

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Shailza Jolly, Tobias Falke, Caglar Tirkaz, Daniil Sorokin

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Victor Zhong, Austin W. Hanjie, Sida Wang and

Karthik Narasimhan, Luke Zettlemoyer

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reinforcement learning and planning

Tongtong Xiang, Jeff Y. Luo, Werner Dietl

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Scientific computing, Pluggable type system, Dimensional analysis, Units of measurements, Type inference

Baifan Zhou, Yulia Svetashova, Tim Pychynski and

Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov

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semantic technology, discrete manufacturing, machine learning, quality monitoring

Arquímides Méndez-Molina

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Machine Learning, Reinforcement Learning, Graphical Models, Learning in Robotics

Mete Akbulut, Erhan Oztop, Muhammet Yunus Seker and

Hh X, Ahmet Tekden, Emre Ugur

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Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

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Bradley Saund, Dmitry Berenson

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Edward Smith, Roberto Calandra, Adriana Romero and

Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

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Jorge Mendez, ERIC EATON

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lifelong learning, compositional learning, modular networks, continual learning

Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev

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