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NeurIPS 2018 Competition Track Day 1
Sergio Escalera · Ralf Herbrich

Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 518
Event URL: https://nips.cc/Conferences/2018/CompetitionTrack »

coming soon.

Fri 4:50 a.m. - 5:00 a.m. [iCal]
Opening and Best Demo Award announcement (Opening)
Sergio Escalera, Ralf Herbrich
Fri 5:00 a.m. - 5:20 a.m. [iCal]
InclusiveImages: Competition Overview (Competition)
Fri 5:20 a.m. - 6:00 a.m. [iCal]
InclusiveImages: Competitor Presentations (Competition)
Yonatan Halpern, Pallavi Baljekar, D. Sculley, Pavel Ostyakov, Nawaz Mohammed, Weimin Wang, David Austin
Fri 6:00 a.m. - 6:15 a.m. [iCal]
InclusiveImages: Wrap-Up (Competition)
Fri 6:15 a.m. - 6:30 a.m. [iCal]
Adversarial Vision Challenge: Shooting ML Models in the Dark: The Landscape of Blackbox Attacks (Competition)
Aleksander Madry
Fri 6:30 a.m. - 6:40 a.m. [iCal]
Adversarial Vision Challenge: Results of the Adversarial Vision Challenge (Competition)
Wieland Brendel, Jonas Rauber, Marcel Salathé, Alexey Kurakin, Nicolas Papernot, Sharada Mohanty, Matthias Bethge
Fri 6:40 a.m. - 6:50 a.m. [iCal]
Adversarial Vision Challenge: Theory-inspired Approaches for Adversarial Machine Learning (Competition)
susu xu, Yaodong Yu
Fri 6:50 a.m. - 7:00 a.m. [iCal]
Adversarial Vision Challenge: Improving attack transferability with adversarially trained surrogate models (Competition)
Jérôme Rony, Luiz Gustavo Hafemann
Fri 7:00 a.m. - 7:10 a.m. [iCal]
Adversarial Vision Challenge: Guessing Smart, New Directions for Sampling-Based Attacks (Competition)
Thomas Brunner, Frederik Diehl
Fri 7:10 a.m. - 7:20 a.m. [iCal]
Adversarial Vision Challenge: Black-box Attacks with Small Search Subspace and Covariance Matrix Adaptation of Perturbation Noise (Competition)
Shuyu Cheng, Yinpeng Dong
Fri 7:20 a.m. - 7:30 a.m. [iCal]
Adversarial Vision Challenge: Towards More Effective Black-Box Adversarial Training (Competition)
Xuefei Ning, Wenshuo Li, Yu Wang
Fri 7:30 a.m. - 8:00 a.m. [iCal]
Coffee break (Break)
Fri 7:30 a.m. - 8:00 a.m. [iCal]
Adversarial Vision Challenge: Poster Session (Competition)
Yash Sharma, Lars Holdijk, Sascha Saralajew, ziang Yan, Dmitrii Rashchenko, Iuliia Rashchenko, Jongseong Jang, Jungin Lee, jihyeun Yoon, KYUNGYUL KIM, Florian Laurent, Lukas Schott
Fri 8:00 a.m. - 8:10 a.m. [iCal]
The Conversational Intelligence Challenge 2 (ConvAI2) : Setup, Opening Words (Competition)
Jason Weston
Fri 8:10 a.m. - 8:20 a.m. [iCal]
The Conversational Intelligence Challenge 2 (ConvAI2) : Winners, Results & Analysis (Competition)
Emily Dinan
Fri 8:20 a.m. - 9:05 a.m. [iCal]
The Conversational Intelligence Challenge 2 (ConvAI2) : Winners talks & spotlights (Competition)
Thomas Wolf, Xuezheng Peng, Christian Saam, Henry Elder, Rauf Kurbanov, Shadab Alam
Fri 9:05 a.m. - 9:15 a.m. [iCal]
The Conversational Intelligence Challenge 2 (ConvAI2) : Conclusion, Discussion of Future Steps (Competition)
Fri 9:15 a.m. - 10:15 a.m. [iCal]
Lunch break (Break)
Fri 10:15 a.m. - 10:20 a.m. [iCal]
Xprize competition: introduction (Competition)
Neama Dadkhahnikoo
Fri 10:20 a.m. - 10:25 a.m. [iCal]
Xprize competition: MachineGenes (Competition)
Nigel Greenwood
Fri 10:25 a.m. - 10:30 a.m. [iCal]
Xprize competition: DeepDrug (Competition)
Supratik Mukhopadhyay
Fri 10:30 a.m. - 10:50 a.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge: Overview and award ceremony (Competition)
Hugo Jair Escalante, Isabelle Guyon, Daniel Silver, Evelyne Viegas, Wei-Wei Tu
Fri 10:50 a.m. - 11:10 a.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge. First place winner: Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams under Concept Drift (Competition)
Jobin Wilson, Amit Meher, Bivin Vinodkumar Bindu, Manoj Sharma, vishakha pareek
Fri 11:10 a.m. - 11:20 a.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge. Second place winner. A Boosting Tree Based AutoML System for High Cardinality Streaming Data Classification with Concept Drift (Competition)
Zheng Xiong, Jiyan Jiang, Wenpeng Zhang
Fri 11:20 a.m. - 11:40 a.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge. Thrid place winner: GrandMasters team at AutoML3 challenge (Competition)
Jiangeng Chang, Yakun Zhao, Honggang Liu, jinlong chai
Fri 11:40 a.m. - 12:00 p.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge: MIT HAN LAB experience in the AutoML3 challenge (Competition)
Xiangning Chen
Fri 11:40 a.m. - 12:00 p.m. [iCal]
AutoML3 - LifeLong ML with concept drift Challenge: Experiences from participants (Competition)
Haifeng Jin
Fri 12:00 p.m. - 12:30 p.m. [iCal]
Coffee break (Break)
Fri 12:30 p.m. - 12:45 p.m. [iCal]
TrackML challenge - Introduction : tracking particles in LHC detector (Competition)
Andreas Salzburger
Fri 12:45 p.m. - 1:00 p.m. [iCal]
TrackML Analyzing some top solutions (Competition)
jean-roch vlimant
Fri 1:00 p.m. - 1:15 p.m. [iCal]
TrackML a LSTM attempt (Competition)
Liam Finnie, Nicole Finnie
Fri 1:15 p.m. - 1:30 p.m. [iCal]
TrackML when speed matter (Competition)
Sergey Gorbunov
Fri 1:30 p.m. - 1:45 p.m. [iCal]
TrackML Conclusion and Outlook on the on-going Throughput phase (Competition)
David Rousseau
Fri 1:45 p.m. - 2:15 p.m. [iCal]
Fri 2:15 p.m. - 2:20 p.m. [iCal]
AI for prosthetics: competition review (Competition)
Łukasz Kidziński
Fri 2:20 p.m. - 2:25 p.m. [iCal]
AI for prosthetics: crowdAI (Competition)
Sharada Mohanty
Fri 2:25 p.m. - 3:25 p.m. [iCal]
AI for prosthetics: top ranked teams talks (Competition)
Jeremy Watson, Phung Huynh, Paul Gamble, Zhengfei Wang, Aditya Bhatt, Lance Rane, Aleksei Shpilman, Jones Wang, Mattias Ljungström, Sergey Kolesnikov, Oleksii Hrinchuk, Wojciech Jaśkowski, Pranav Shyam, Fan Wang, Hongsheng Zeng, Bo Zhou
Fri 3:25 p.m. - 3:30 p.m. [iCal]
AI for prosthetics: OpenAI dexterous in-hand manipulation invited talk (Competition)
Marcin Andrychowicz

Author Information

Sergio Escalera (University of Barcelona and Computer Vision Center)

Sergio Escalera obtained the P.h.D. degree on Multi-class visual categorization systems at Computer Vision Center, UAB. He obtained the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona. He leads the Human Pose Recovery and Behavior Analysis Group at UB, CVC, and the Barcelona Graduate School of Mathematics. He is an associate professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University. He has been visiting professor at TU Delft and Aalborg Universities. He is a member of the Visual and Computational Learning consolidated research group of Catalonia. He is also a member of the Computer Vision Center at Campus UAB. He is Editor-in-Chief of American Journal of Intelligent Systems and editorial board member of more than 5 international journals. He is advisor, director, and vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-founder of PhysicalTech and Care Respite companies. He is also member of the AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, and he is vice-chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He has published more than 150 research papers and participated in the organization of scientific events, including CCIA04, CCIA14, ICCV11, AMDO2016, FG2017, and workshops at ICCV11, ICMI13, ECCV14, CVPR15, ICCV15, CVPR16, ECCV16, ICPR16, NIPS16. He has been guest editor at JMLR, TPAMI, IJCV, TAC, and Neural Comp. and App. He has been area chair at WACV16, NIPS16, and FG17. His research interests include, between others, statistical pattern recognition, visual object recognition, and HCI systems, with special interest in human pose recovery and behavior analysis from multi-modal data.

Ralf Herbrich (Amazon)

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