Luana Ruiz, Luiz Chamon, Alejandro Ribeiro

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Pratik Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry

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Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang

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cross-episode attention, episodic training, few-shot learning

Myoungsoo Jung

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Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang

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Bandit problems, Online learning

Eshed Ohn-Bar, Aditya Prakash, Aseem Behl and

Kashyap Chitta, Andreas Geiger

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autonomous navigation, mixture of experts, driving, multi-modal, imitation learning, reinforcement leanring, hierarchial model, evolutionary techniques, carla, sensorimotor

Bhargavi Paranjape, Mandar Joshi, John Thickstun and

Hannaneh Hajishirzi, Luke Zettlemoyer

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language understanding, semi-supervised setting, complex models, explainer

Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas Reps

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Docker, Datasets, Bash, Mining, DevOps

Gal S. Kenigsfield, Ran El-Yaniv

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Anamay Chaturvedi, Jonathan Scarlett

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Zhan Chen, Sicheng Li, Bing Yang and

Qinghan Li, Hong Liu

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Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige

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pose estimation, stereo, keypoint, transparent object, robotic manipulation, depth sensor, dataset

Sheng Xu, Zhou Fan, Sahand Negahban

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High-dimensional statistics, Combinatorial optimization, Learning from complex/structured data (e.g. networks, time series), Non-convex optimization

Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme

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parsing, Universal Parsing, transductive model, Universal representations

Flore Sentenac, Etienne Boursier, Vianney Perchet

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bandits

Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

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Alessandro Seganti, Klaudia Firląg, Helena Skowronska and

Michał Satława, Piotr Andruszkiewicz

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Mingze Yuan, Christian Richardt

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optical flow, 360° image processing

Cenek Albl, Zuzana Kukelova, Viktor Larsson and

Michal Polic, Tomas Pajdla, Konrad Schindler

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rolling shutter, multi-camera systems, distortion removal, minimal solver, depth maps

Song Wei, Yao Xie, Dobromir Rahnev

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Probabilistic Methods, Distributed Inference, Algorithms, Regression; Optimization, Convex Optimization; Theory, Learning Theory; Theory, Regularization, Algorithms, Time Series and Sequences

James Lucas, Juhan Bae, Michael Zhang and

Stanislav Fort, Richard Zemel, Roger Grosse

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Deep Learning, Others

Songyuan Zhang, ZHANGJIE CAO, Dorsa Sadigh, Yanan Sui

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reinforcement learning and planning

Shreya Gupta, Parantak Singh, Megha Sundriyal and

Md. Shad Akhtar, Tanmoy Chakraborty

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Alexander Rader, Ionela G Mocanu, Vaishak Belle, Brendan Juba

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Constraints and SAT, Constraints and Data Mining; Constraints and Machine Learning

Petr Gregor, Ondřej Mička, Torsten Mütze

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Gray code, Hamilton cycle, hypercube, middle levels, symmetric chain decomposition

Konstantinos Kanellis, Ramnatthan Alagappan, Shivaram Venkataraman

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Xin Chen, Lingxi Xie, Jun Wu and

Longhui Wei, Yuhui Xu, Qi Tian

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Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena and

Surya Ganguli, Jonathan Bloom, Daniel Yamins

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Applications - Neuroscience, Cognitive Science, Biology and Health

Varun Nagaraj Rao, Mingwei Shen

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Jonathan Kobbe, Ines Rehbein, Ioana Hulpuș, Heiner Stuckenschmidt

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guangnan wu, Zhiyi Pan, Peng Jiang, Changhe Tu

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Robert Vacareanu, Marco A. Valenzuela-Escárcega, Rebecca Sharp, Mihai Surdeanu

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Yunru Liu, Tingran Gao, Haizhao Yang

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Samarth Sinha, Zhengli Zhao, Anirudh Goyal ALIAS PARTH GOYAL and

Colin A Raffel, Augustus Odena

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Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon

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darts, differentiable nas, one-shot nas, neural architecture search, nas, architecture parameter, automl, vs-darts, vsdarts, variance-stationary

Michael Shekelyan, Graham Cormode

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Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais

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Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen

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domain adaptation, distribution alignment gradient consistency, adversarial learning

Xutong Liu, Jinhang Zuo, Xiaowei Chen and

Wei Chen, John C. S. Lui

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Optimization, Optimization, Convex Optimization, Reinforcement Learning and Planning, Bandits

Marc Finzi, Gregory Benton, Andrew Wilson

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deep learning, reinforcement learning and planning, machine learning