Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou and

Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren

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Yuanhao Cai, Xiaowan Hu, Haoqian Wang and

Yulun Zhang, Hanspeter Pfister, Donglai Wei

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deep learning, adversarial robustness and security, vision, generative model, graph learning

Costanza Conforti, Stephanie Hirmer, Dai Morgan and

Marco Basaldella, Yau Ben Or

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sustainable development, sd, project sustainability, community profiling

Henry M. Clever, Zackory Erickson, Ariel Kapusta and

Greg Turk, Karen Liu, Charles C. Kemp

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humans, pose, estimation, pressure, healthcare, robotics, sim2real, simulation, dynamics, physics

Abhishek Roy, Krishnakumar Balasubramanian, Murat Erdogdu

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theory

Rie Johnson, Tong Zhang

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Deep Learning - Algorithms

Yi Wan, Abhishek Naik, Rich Sutton

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reinforcement learning and planning

Nan Xiao, Nan Hu, Liang Yu, Cheng Long

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vehicular paths, model training, data fusion, path generation, data safety

Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian

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neural network quantization, over-fitting, regularization

Nikos Katzouris, Alexander Artikis

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KR related tools and systems-General, Case studies for KR systems-General, Applications that combine KR with machine learning-General

Thomas E. Anderson, Marco Canini, Jongyul Kim and

Dejan Kostić, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel

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Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi

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Danh Le-Phuoc, Thomas Eiter, Anh Le-Tuan

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Shiki Sato, Reina Akama, Hiroki Ouchi and

Jun Suzuki, Kentaro Inui

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open-domain systems, human evaluation, Dialogue Systems, Response Selection

Kaihua Tang, Jianqiang Huang, hanwang Zhang

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Deep Learning -> Optimization for Deep Networks, Applications -> Hardware and Systems

Ching-Yu Hsieh, Yi-Shyuan Chiang, Hung-Yu Chiu, Yung-Ju Chang

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virtual reality, notification systems, interruptibility, receptivity, eye-tracking

Emily Tseng, Rosanna Bellini, Nora McDonald and

Matan Danos, Rachel Greenstadt, Damon McCoy, Nicola Dell, Thomas Ristenpart

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Jiaming Song, Stefano Ermon

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Julien Romero, Simon Razniewski

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knowledge base, datasets, visualisation, commonsense

Tong He, John Collomosse, Hailin Jin, Stefano Soatto

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Junqi Wang, Pei Wang, Patrick Shafto

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Probabilistic Inference - Models and Probabilistic Programming

Yufang Hou

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Mariana Vargas-Vieyra, Aurélien Bellet, Pascal Denis

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Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

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Yotam Amitai, Ayal Taitler, Erez Karpas

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Manuel Bodirsky, Wied Pakusa, and Jakub Rydval

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fixed-point logic, Maltsev conditions, temporal constraint satisfaction problems

Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast and

Lüder A. Kahrs, Tobias Ortmaier

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Hamdy Mubarak, Shimaa Amer, Ahmed Abdelali, Kareem Darwish

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Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia

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3d recognition, point cloud recognition, 3d object detection

Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

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Probabilistic Inference - Approximate, Monte Carlo, and Spectral Methods

Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang

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deep learning, machine learning, generative model

Rianne van den Berg, Alexey Gritsenko, Mostafa Dehghani and

Casper Sønderby, Tim Salimans

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generative modeling, normalizing flows, lossless source compression

Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

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Sue Zheng, David Hayden, Jason Pacheco, John Fisher III

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Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu

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panoptic segmentation, occlusion, amodal, ordering, segmentation

Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov

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neuron-level analysis, linguistic tasks, deep models, pre-trained models

Kaidi Cao, Maria Brbic, Jure Leskovec

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few-shot learning, meta learning

Zekun Li, Yao-Yi Chiang, Sasan Tavakkol and

Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock

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text linking, neural networks, entity matching, geolocalization, information extraction, historical map processing

Li Yuan, Jin Wang, Liang-Chih Yu, Xuejie Zhang

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Suriya Gunasekar, Blake Woodworth, Nathan Srebro

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