Tony Ginart, Eva Zhang, Yongchan Kwon, James Zou

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Stephen Roller, Sainbayar Sukhbaatar, arthur d szlam, Jason Weston

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transformers

Arman Cohan, Sergey Feldman, Iz Beltagy and

Doug Downey, Daniel Weld

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Document-level Learning, Representation learning, natural systems, classification

Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu

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recommender systems, cold start, user preference estimation

Jiaqi Zeng, Pengtao Xie

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Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu and

Javen Shi, Anton van den Hengel

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information-seeking agent vision and language tasks vqa interactive agents reinforcement learning

Ethan Perez, Patrick Lewis, Wen-tau Yih and

Kyunghyun Cho, Douwe Kiela

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question qa, labeling questions, one-to-n transduction, qa

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

Giovanni Troiano, Qinyu Chen, Angela Vargas Alba and

Gregorio Robles, Michael Cassidy, Eli Tucker-Raymond, Gillian Puttick, Casper Harteveld

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game-based learning, game design, computational thinking, video games, scratch, dr. scratch, constructionist learning

Saurabh Agarwal, Hongyi Wang, Kangwook Lee and

Shivaram Venkataraman, Dimitrios Papailiopoulos

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Malay Bag, Alekh Jindal, Hiren Patel

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Kun Su, Xiulong Liu, Eli Shlizerman

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Applications -> Computer Vision, Deep Learning

Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes

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Ekdeep S Lubana, Robert Dick, Hidenori Tanaka

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deep learning

Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi

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visual reaction, forecasting, planning, drone, reinforcement learning, ai2-thor

Thilo Michael

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Maria Shugrina, Amlan Kar, Sanja Fidler, Karan Singh

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interactive techniques, color palettes, neural networks, deep learning, recoloring

Huu-Thanh Nguyen, Chong-Wah Ngo

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Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

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Nadia Polikarpova, Deian Stefan, Jean Yang and

Shachar Itzhaky, Travis Hance, Armando Solar-Lezama

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program synthesis, information flow control, liquid types

Neema Kotonya, Francesca Toni

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fact-checking, fact-checking studies, explainable fact-checking, public health

Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney

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Sequential, Network, and Time-Series Modeling

Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yoan Gutiérrez and

Andres Montoyo, Rafael Muñoz-Guillena, Yudivián Almeida Cruz

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Nolan Wagener, Byron Boots, Ching-An Cheng

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Theory, RL, Decisions and Control Theory

Murat Kocaoglu, Sanjay Shakkottai, Alex Dimakis and

Constantine Caramanis, Sriram Vishwanath

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Stephen Dolan

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Sangwoong Yoon, Woo Young Kang, Sungwook Jeon and

SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim

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Matthew Jagielski, Nicholas Carlini, David Berthelot and

Alex Kurakin, Nicolas Papernot

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Luca Bertinetto, Romain Mueller, Konstantinos Tertikas and

Sina Samangooei, Nicholas A. Lord

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image classification, hierarchical classification, deep learning, label smoothing, loss function, label embedding, knowledge distillation, similarity measures, visual-semantic similarity

Yusuf Tas, Piotr Koniusz

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multimodal, dialogue, AUDITED, MMD, DeepFashion, M-HRED, SIMMC, SVD, unsupervised, FAISS

Yifan Mao, Soubhik Deb, Shaileshh Bojja Venkatakrishnan and

Sreeram Kannan, Kannan Srinivasan

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blockchain, peer-to-peer, multi-armed bandit, topology

Koutilya PNVR, Hao Zhou, David Jacobs

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domain adaptation, real and synthetic data, monocular depth estimation, face normal estimation

Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang

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natural tasks, Contextual Learning, Contextual models, language-model-based encoders

Xing Tan, Jimmy Xiangji Huang

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Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng, Lexing Xie

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Nikhil Jaiswal

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Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal and

Pabitra Mitra, Prabir Kumar Biswas

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semantic inpainting, generative adversarial networks, video inpainting, facial keypoints, generative models

Dipan Pal, Akshay Chawla, Marios Savvides

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random connections, invariant features, permanent random connectomes, prcns, nptns, learning invariances, bio-inspired networks

Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig

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querying process, extracting knowledge, language models, lm

Zihan Liu, Genta Indra Winata, Pascale Fung

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