NeurIPS 2021 竞赛与演示赛道修订选定论文

Douwe Kiela，Marco Ciccone，Barbara Caputo; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:i-ii

[摘要][下载 PDF]

2021图像相似性挑战的结果和发现

Zoë Papakipos，Giorgos Tolias，Tomas Jenicek，Ed Pizzi，Shuhei Yokoo，Wenhao Wang，Yifan Sun，Weipu Zhang，Yi Yang，Sanjay Addicam，Sergio Manuel Papadakis，Cristian Canton Ferrer，Ondřej Chum，Matthijs Douze; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:1-12

[摘要][下载 PDF]

MineRL Diamond 2021 竞赛：概述、结果和经验教训

Anssi Kanervisto，Stephanie Milani，Karolis Ramanauskas，Nicholay Topin，Zichuan Lin，Junyou Li，Jianing Shi，Deheng Ye，Qiang Fu，Wei Yang，Weijun Hong，Zhongyue Huang，Haicheng Chen，Guangjun Zeng，Yue Lin，Vincent Micheli，Eloi Alonso，François Fleuret，Alexander Nikulin，Yury Belousov，Oleg Svidchenko，Aleksei Shpilman; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:13-28

[摘要][下载 PDF]

开放催化剂挑战赛 2021：竞赛报告

Abhishek Das，Muhammed Shuaibi，Aini Palizhati，Siddharth Goyal，Aditya Grover，Adeesh Kolluru，Janice Lan，Ammar Rizvi，Anuroop Sriram，Brandon Wood，Devi Parikh，Zachary Ulissi，C. Lawrence Zitnick，Guolin Ke，Shuxin Zheng，Yu Shi，Di He，Tie-Yan Liu，Chengxuan Ying，Jiacheng You，Yihan He，Rostislav Grigoriev，Ruslan Lukin，Adel Yarullin，Max Faleev; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:29-40

[摘要][下载 PDF]

NeurIPS 2021 NetHack 挑战的见解

Eric Hambro，Sharada Mohanty，Dmitrii Babaev，Minwoo Byeon，Dipam Chakraborty，Edward Grefenstette，Minqi Jiang，Jo Daejin，Anssi Kanervisto，Jongmin Kim，Sungwoong Kim，Robert Kirk，Vitaly Kurin，Heinrich Küttler，Taehwon Kwon，Donghoon Lee，Vegard Mella，Nantas Nardelli，Ivan Nazarov，Nikita Ovsov，Jack Holder，Roberta Raileanu，Karolis Ramanauskas，Tim Rocktäschel，Danielle Rothermel，Mikayel Samvelyan，Dmitry Sorokin，Maciej Sypetkowski，Michał Sypetkowski; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:41-52

[摘要][下载 PDF][补充 PDF]

第二届 NeurIPS 侦察盲棋比赛

Gino Perrotta，Ryan W. Gardner，Corey Lowman，Mohammad Taufeeque，Nitish Tongia，Shivaram Kalyanakrishnan，Gregory Clark，Kevin Wang，Eitan Rothberg，Brady P. Garrison，Prithviraj Dasgupta，Callum Canavan，Lucas McCabe; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:53-65

[摘要][下载 PDF]

VisDA-2021 竞赛：利用通用领域自适应提高泛化到分布外数据的性能

Dina Bashkirova，Dan Hendrycks，Donghyun Kim，Haojin Liao，Samarth Mishra，Chandramouli Rajagopalan，Kate Saenko，Kuniaki Saito，Burhan Ul Tayyab，Piotr Teterwak，Ben Usman; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:66-79

[摘要][下载 PDF][补充 PDF]

从 NeurIPS 2021 MetaDL 挑战中学到的经验：骨干微调在少样本学习图像分类中占据主导地位，无需情景式元学习

Adrian El Baz，Ihsan Ullah，Edesio Alcobaça，André C. P. L. F. Carvalho，Hong Chen，Fabio Ferreira，Henry Gouk，Chaoyu Guan，Isabelle Guyon，Timothy Hospedales，Shell Hu，Mike Huisman，Frank Hutter，Zhengying Liu，Felix Mohr，Ekrem Öztürk，Jan N. van Rijn，Haozhe Sun，Xin Wang，Wenwu Zhu; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:80-96

[摘要][下载 PDF][补充 PDF]

Traffic4cast 在 NeurIPS 2021 的表现：网格地理空间过程中的时空少样本迁移学习

Christian Eichenberger，Moritz Neun，Henry Martin，Pedro Herruzo，Markus Spanring，Yichao Lu，Sungbin Choi，Vsevolod Konyakhin，Nina Lukashina，Aleksei Shpilman，Nina Wiedemann，Martin Raubal，Bo Wang，Hai L. Vu，Reza Mohajerpoor，Chen Cai，Inhi Kim，Luca Hermes，Andrew Melnik，Riza Velioglu，Markus Vieth，Malte Schilling，Alabi Bojesomo，Hasan Al Marzouqi，Panos Liatsis，Jay Santokhi，Dylan Hillier，Yiming Yang，Joned Sarwar，Anna Jordan，Emil Hewage，David Jonietz，Fei Tang，Aleksandra Gruca，Michael Kopp，David Kreil，Sepp Hochreiter; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:97-112

[摘要][下载 PDF][补充 PDF]

评估贝叶斯深度学习中的近似推断

Andrew Gordon Wilson，Pavel Izmailov，Matthew D Hoffman，Yarin Gal，Yingzhen Li，Melanie F Pradier，Sharad Vikram，Andrew Foong，Sanae Lotfi，Sebastian Farquhar; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:113-124

[摘要][下载 PDF]

HEAR：音频表示的整体评估

Joseph Turian，Jordie Shier，Humair Raj Khan，Bhiksha Raj，Björn W. Schuller，Christian J. Steinmetz，Colin Malloy，George Tzanetakis，Gissel Velarde，Kirk McNally，Max Henry，Nicolas Pinto，Camille Noufi，Christian Clough，Dorien Herremans，Eduardo Fonseca，Jesse Engel，Justin Salamon，Philippe Esling，Pranay Manocha，Shinji Watanabe，Zeyu Jin，Yonatan Bisk; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:125-145

[摘要][下载 PDF][补充 PDF]

协作环境中的交互式接地语言理解：IGLU 2021

Julia Kiseleva，Ziming Li，Mohammad Aliannejadi，Shrestha Mohanty，Maartje ter Hoeve，Mikhail Burtsev，Alexey Skrynnik，Artem Zholus，Aleksandr Panov，Kavya Srinet，Arthur Szlam，Yuxuan Sun，Katja Hofmann，Marc-Alexandre Côté，Ahmed Awadallah，Linar Abdrazakov，Igor Churin，Putra Manggala，Kata Naszadi，Michiel van der Meer，Taewoon Kim; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:146-161

[摘要][下载 PDF]

多模态单细胞数据整合挑战：结果和经验教训

Christopher Lance，Malte D. Luecken，Daniel B. Burkhardt，Robrecht Cannoodt，Pia Rautenstrauch，Anna Laddach，Aidyn Ubingazhibov，Zhi-Jie Cao，Kaiwen Deng，Sumeer Khan，Qiao Liu，Nikolay Russkikh，Gleb Ryazantsev，Uwe Ohler，NeurIPS 2021 多模态数据整合竞赛参与者，Angela Oliveira Pisco，Jonathan Bloom，Smita Krishnaswamy，Fabian J. Theis; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:162-176

[摘要][下载 PDF][补充 PDF]

NeurIPS’21 亿级近似最近邻搜索挑战的结果

Harsha Vardhan Simhadri，George Williams，Martin Aumüller，Matthijs Douze，Artem Babenko，Dmitry Baranchuk，Qi Chen，Lucas Hosseini，Ravishankar Krishnaswamny，Gopal Srinivasa，Suhas Jayaram Subramanya，Jingdong Wang; NeurIPS 2021 竞赛与演示赛道会议论文集，PMLR 176:177-189

[摘要][下载 PDF]

真实机器人挑战：云端的机器人竞赛

Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan Gordon, Tapomayukh Bhattacharjee, Siddhartha Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Bulens, Kevin McGuinness, Noel O’Connor, Redmond Stephen, Bernhard Schölkopf; NeurIPS 2021 竞赛与演示论文集, PMLR 176:190-204

[abs][下载 PDF][补充 PDF]

2021 BEETL 竞赛：推进面向主题独立性和异构脑电数据集的迁移学习

Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Śliwowski, Vincent Rouanne, Piotr Tempczyk; NeurIPS 2021 竞赛与演示论文集, PMLR 176:205-219

[abs][下载 PDF]

用于组合优化机器学习竞赛 (ML4CO)：结果与见解

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Morris Christopher, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Shengcheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun; NeurIPS 2021 竞赛与演示论文集, PMLR 176:220-231

[abs][下载 PDF]

WebQA：一种多模态多跳 NeurIPS 挑战

Yingshan Chang, Yonatan Bisk; NeurIPS 2021 竞赛与演示论文集, PMLR 176:232-245

[abs][下载 PDF]

通过实践学习：使用因果关系、控制和强化学习控制动力系统

Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister; NeurIPS 2021 竞赛与演示论文集, PMLR 176:246-258

[abs][下载 PDF][补充 PDF]

2021 MineRL BASALT 竞赛回顾：基于人类反馈的学习

Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum; NeurIPS 2021 竞赛与演示论文集, PMLR 176:259-272

[abs][下载 PDF]

前瞻性解释：用于模型理解的交互机制

Rahul Nair, Pierpaolo Tommasi; NeurIPS 2021 竞赛与演示论文集, PMLR 176:273-277

[abs][下载 PDF]

用于 60 年人工智能研究的交互式语料可视化

Hendrik Strobelt, Benjamin Hoover; NeurIPS 2021 竞赛与演示论文集, PMLR 176:278-282

[abs][下载 PDF]

SenSE 工具包：用于语义漂移的可视化和解释的系统

Maurício Gruppi, Sibel Adalı, Pin-Yu Chen; NeurIPS 2021 竞赛与演示论文集, PMLR 176:283-287

[abs][下载 PDF]

AIMEE：使用基于规则的替代模型的交互式模型维护

Owen Cornec, Rahul Nair, Elizabeth Daly, Oznur Alkan, Dennis Wei; NeurIPS 2021 竞赛与演示论文集, PMLR 176:288-291

[abs][下载 PDF]

GANs for All：支持对 GAN 潜在空间的有趣且直观的探索

Wei Jiang, Richard Lee Davis, Kevin Gonyop Kim, Pierre Dillenbourg; NeurIPS 2021 竞赛与演示论文集, PMLR 176:292-296

[abs][下载 PDF][补充 PDF]

Lesan – 用于低资源语言的机器翻译

Asmelash Teka Hadgu, Abel Aregawi, Adam Beaudoin; NeurIPS 2021 竞赛与演示论文集, PMLR 176:297-301

[abs][下载 PDF]

使用 TruLens 探索概念合理性

Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang; NeurIPS 2021 竞赛与演示论文集, PMLR 176:302-307

[abs][下载 PDF]

移动设备上实时且准确的自监督单目深度估计

Hong Cai, Fei Yin, Tushar Singhal, Sandeep Pendyam, Parham Noorzad, Yinhao Zhu, Khoi Nguyen, Janarbek Matai, Bharath Ramaswamy, Frank Mayer, Chirag Patel, Abhijit Khobare, Fatih Porikli; NeurIPS 2021 竞赛与演示论文集, PMLR 176:308-313

[abs][下载 PDF]

使用神经符号推理自动评估 GNN 解释

Vanya Bannihatti Kumar, Balaji Ganesan, Muhammed Ameen, Devbrat Sharma, Arvind Agarwal; NeurIPS 2021 竞赛与演示论文集, PMLR 176:314-318

[abs][下载 PDF]

Pylon：用于带约束学习的 PyTorch 框架

Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh; NeurIPS 2021 竞赛与演示论文集, PMLR 176:319-324

[abs][下载 PDF]

MEWS：用于社交媒体操纵检测和分析的实时系统

Trenton Ford, Michael Yankoski, William Theisen, Tom Henry, Farah Khashman, Katherine Dearstyne, Tim Weninger, Pamela Bilo Thomas; NeurIPS 2021 竞赛与演示论文集, PMLR 176:325-329

[abs][下载 PDF]

从几何角度交互式演示词表示偏差缓解技术

Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M Phillips, Yan Zheng, Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang; NeurIPS 2021 竞赛与演示论文集, PMLR 176:330-335

[abs][下载 PDF]

一起训练 Transformers

Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf; NeurIPS 2021 竞赛与演示论文集, PMLR 176:335-342

[abs][下载 PDF][补充 PDF]

TripleBlind: 一种用于去中心化数据和算法的隐私保护框架

Gharib Gharibi， Babak Poorebrahim Gilkalaye， Ravi Patel， Andrew Rademacher， David Wagner， Jack Fay， Gary Moore， Steve Penrod， Greg Storm， Riddhiman Das; NeurIPS 2021 竞赛与演示论文集, PMLR 176:343-348

[abs][下载 PDF]

用于弱监督室内定位的深度学习框架

Farhad G. Zanjani， Ilia Karmanov， Hanno Ackermann， Daniel Dijkman， Simone Merlin， Ishaque Kadampot， Brian Buesker， Vamsi Vegunta， Fatih Porikli; NeurIPS 2021 竞赛与演示论文集, PMLR 176:349-354

[abs][下载 PDF]

AME：用于因果推断的可解释近乎精确匹配

Haoning Jiang， Thomas Howell， Neha R. Gupta， Vittorio Orlandi， Marco Morucci， Harsh Parikh， Sudeepa Roy， Cynthia Rudin， Alexander Volfovsky; NeurIPS 2021 竞赛与演示论文集, PMLR 176:355-359

[abs][下载 PDF]