nips52

NeurIPS(NIPS) 2021 论文列表

NeurIPS 2020 Competition and Demonstration Track, 6-12 December 2020, Virtual Event / Vancouver, BC, Canada.

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Sharada P. Mohanty Jyotish Poonganam Adrien Gaidon Andrey Kolobov Blake Wulfe Dipam Chakraborty Grazvydas Semetulskis João Schapke Jonas Kubilius Jurgis Pasukonis Linas Klimas Matthew J. Hausknecht Patrick MacAlpine Quang Nhat Tran Thomas Tumiel Xiaocheng Tang Xinwei Chen Christopher Hesse Jacob Hilton William Hebgen Guss Sahika Genc John Schulman Karl Cobbe

The Hateful Memes Challenge: Competition Report.

Douwe Kiela Hamed Firooz Aravind Mohan Vedanuj Goswami Amanpreet Singh Casey A. Fitzpatrick Peter Bull Greg Lipstein Tony Nelli Ron Zhu Niklas Muennighoff Riza Velioglu Jewgeni Rose Phillip Lippe Nithin Holla Shantanu Chandra Santhosh Rajamanickam Georgios Antoniou Ekaterina Shutova Helen Yannakoudakis Vlad Sandulescu Umut Ozertem Patrick Pantel Lucia Specia Devi Parikh

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.

Michael Kopp David P. Kreil Moritz Neun David Jonietz Henry Martin Pedro Herruzo Aleksandra Gruca Ali Soleymani Fanyou Wu Yang Liu Jingwei Xu Jianjin Zhang Jay Santokhi Alabi Bojesomo Hasan Al-Marzouqi Panos Liatsis Pak Hay Kwok Qi Qi Sepp Hochreiter

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands.

Mayank Agarwal Tathagata Chakraborti Quchen Fu David Gros Xi Victoria Lin Jaron Maene Kartik Talamadupula Zhongwei Teng Jules White

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.

Florian Laurent Manuel Schneider Christian Scheller Jeremy D. Watson Jiaoyang Li Zhe Chen Yi Zheng Shao-Hung Chan Konstantin Makhnev Oleg Svidchenko Vladimir Egorov Dmitry Ivanov Aleksei Shpilman Evgenija Spirovska Oliver Tanevski Aleksandar Nikov Ramon Grunder David Galevski Jakov Mitrovski Guillaume Sartoretti Zhiyao Luo Mehul Damani Nilabha Bhattacharya Shivam Agarwal Adrian Egli Erik Nygren Sharada P. Mohanty

Musical Speech: A Transformer-based Composition Tool.

Jason d'Eon Sri Harsha Dumpala Chandramouli Shama Sastry Daniel Oore Sageev Oore

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.

William Hebgen Guss Stephanie Milani Nicholay Topin Brandon Houghton Sharada P. Mohanty Andrew Melnik Augustin Harter Benoit Buschmaas Bjarne Jaster Christoph Berganski Dennis Heitkamp Marko Henning Helge J. Ritter Chengjie Wu Xiaotian Hao Yiming Lu Hangyu Mao Yihuan Mao Chao Wang Michal Opanowicz Anssi Kanervisto Yanick Schraner Christian Scheller Xiren Zhou Lu Liu Daichi Nishio Toi Tsuneda Karolis Ramanauskas Gabija Juceviciute

The SpaceNet Multi-Temporal Urban Development Challenge.

Adam Van Etten Daniel Hogan

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.

James Jordon Daniel Jarrett Evgeny Saveliev Jinsung Yoon Paul W. G. Elbers Patrick Thoral Ari Ercole Cheng Zhang Danielle Belgrave Mihaela van der Schaar

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.

Zichao Wang Angus Lamb Evgeny Saveliev Pashmina Cameron Yordan Zaykov José Miguel Hernández-Lobato Richard E. Turner Richard G. Baraniuk Craig Barton Simon Peyton Jones Simon Woodhead Cheng Zhang

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.

Yiding Jiang Parth Natekar Manik Sharma Sumukh K. Aithal Dhruva Kashyap Natarajan Subramanyam Carlos Lassance Daniel M. Roy Gintare Karolina Dziugaite Suriya Gunasekar Isabelle Guyon Pierre Foret Scott Yak Hossein Mobahi Behnam Neyshabur Samy Bengio

Semi-Automated Data Labeling.

Michael Desmond Evelyn Duesterwald Kristina Brimijoin Michelle Brachman Qian Pan

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval.

Mark Hamilton Stephanie Fu Mindren Lu Johnny Bui Darius Bopp Zhenbang Chen Felix Tran Margaret Wang Marina Rogers Lei Zhang Chris Hoder William T. Freeman

Learning to run a Power Network Challenge: a Retrospective Analysis.

Antoine Marot Benjamin Donnot Gabriel Dulac-Arnold Adrian Kelly Aidan O'Sullivan Jan Viebahn Mariette Awad Isabelle Guyon Patrick Panciatici Camilo Romero

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min Jordan L. Boyd-Graber Chris Alberti Danqi Chen Eunsol Choi Michael Collins Kelvin Guu Hannaneh Hajishirzi Kenton Lee Jennimaria Palomaki Colin Raffel Adam Roberts Tom Kwiatkowski Patrick S. H. Lewis Yuxiang Wu Heinrich Küttler Linqing Liu Pasquale Minervini Pontus Stenetorp Sebastian Riedel Sohee Yang Minjoon Seo Gautier Izacard Fabio Petroni Lucas Hosseini Nicola De Cao Edouard Grave Ikuya Yamada Sonse Shimaoka Masatoshi Suzuki Shumpei Miyawaki Shun Sato Ryo Takahashi Jun Suzuki Martin Fajcik Martin Docekal Karel Ondrej Pavel Smrz Hao Cheng Yelong Shen Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao Barlas Oguz Xilun Chen Vladimir Karpukhin Stan Peshterliev Dmytro Okhonko Michael Sejr Schlichtkrull Sonal Gupta Yashar Mehdad Wen-tau Yih

Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.

Mikita Sazanovich Anastasiya Nikolskaya Yury Belousov Aleksei Shpilman

Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark.

Meysam Madadi Hugo Bertiche Wafa Bouzouita Isabelle Guyon Sergio Escalera

tspDB: Time Series Predict DB.

Anish Agarwal Abdullah Alomar Devavrat Shah

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.

Ryan Turner David Eriksson Michael McCourt Juha Kiili Eero Laaksonen Zhen Xu Isabelle Guyon

NeurIPS 2020 Competition and Demonstration Track: Revised selected papers.

Hugo Jair Escalante Katja Hofmann