NeurIPS 2018 Competition Track Day 1
Sergio Escalera · Ralf Herbrich

Fri Dec 7th 08:00 AM -- 06:30 PM @ Room 518
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07:50 AM Opening and Best Demo Award announcement (Opening) Sergio Escalera, Ralf Herbrich
08:00 AM InclusiveImages: Competition Overview (Competition)
08:20 AM InclusiveImages: Competitor Presentations (Competition) Yonatan Halpern, Pallavi Baljekar, D. Sculley, Pavel Ostyakov, Nawaz Mohammed, Weimin Wang, David Austin
09:00 AM InclusiveImages: Wrap-Up (Competition)
09:15 AM Adversarial Vision Challenge: Shooting ML Models in the Dark: The Landscape of Blackbox Attacks (Competition) Aleksander Madry
09:30 AM Adversarial Vision Challenge: Results of the Adversarial Vision Challenge (Competition) Wieland Brendel, Jonas Rauber, Marcel Salathé, Alexey Kurakin, Nicolas Papernot, Sharada Mohanty, Matthias Bethge
09:40 AM Adversarial Vision Challenge: Theory-inspired Approaches for Adversarial Machine Learning (Competition) susu xu, Yaodong Yu
09:50 AM Adversarial Vision Challenge: Improving attack transferability with adversarially trained surrogate models (Competition) Jérôme Rony, Luiz Gustavo Hafemann
10:00 AM Adversarial Vision Challenge: Guessing Smart, New Directions for Sampling-Based Attacks (Competition) Thomas Brunner, Frederik Diehl
10:10 AM Adversarial Vision Challenge: Black-box Attacks with Small Search Subspace and Covariance Matrix Adaptation of Perturbation Noise (Competition) Shuyu Cheng, Yinpeng Dong
10:20 AM Adversarial Vision Challenge: Towards More Effective Black-Box Adversarial Training (Competition) Xuefei Ning, Wenshuo Li, Yu Wang
10:30 AM Coffee break (Break)
10:30 AM 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
11:00 AM The Conversational Intelligence Challenge 2 (ConvAI2) : Setup, Opening Words (Competition) Jason Weston
11:10 AM The Conversational Intelligence Challenge 2 (ConvAI2) : Winners, Results & Analysis (Competition) Emily Dinan
11:20 AM The Conversational Intelligence Challenge 2 (ConvAI2) : Winners talks & spotlights (Competition) Thomas Wolf, Xuezheng Peng, Christian Saam, Henry Elder, Rauf Kurbanov, Shadab Alam
12:05 PM The Conversational Intelligence Challenge 2 (ConvAI2) : Conclusion, Discussion of Future Steps (Competition)
12:15 PM Lunch break (Break)
01:15 PM Xprize competition: introduction (Competition) Neama Dadkhahnikoo
01:20 PM Xprize competition: MachineGenes (Competition) Nigel Greenwood
01:25 PM Xprize competition: DeepDrug (Competition) Supratik Mukhopadhyay
01:30 PM AutoML3 - LifeLong ML with concept drift Challenge: Overview and award ceremony (Competition) Hugo Jair Escalante, Isabelle Guyon, Daniel Silver, Evelyne Viegas, Wei-Wei Tu
01:50 PM 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
02:10 PM 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
02:20 PM AutoML3 - LifeLong ML with concept drift Challenge. Thrid place winner: GrandMasters team at AutoML3 challenge (Competition) Jiangeng Chang, Yakun Zhao, Honggang Liu, jinlong chai
02:40 PM AutoML3 - LifeLong ML with concept drift Challenge: MIT HAN LAB experience in the AutoML3 challenge (Competition) Xiangning Chen
02:40 PM AutoML3 - LifeLong ML with concept drift Challenge: Experiences from participants (Competition) Haifeng Jin
03:00 PM Coffee break (Break)
03:30 PM TrackML challenge - Introduction : tracking particles in LHC detector (Competition) Andreas Salzburger
03:45 PM TrackML Analyzing some top solutions (Competition) jean-roch vlimant
04:00 PM TrackML a LSTM attempt (Competition) Liam Finnie, Nicole Finnie
04:15 PM TrackML when speed matter (Competition) Sergey Gorbunov
04:30 PM TrackML Conclusion and Outlook on the on-going Throughput phase (Competition) David Rousseau
04:45 PM Break <span> <a href="#"></a> </span>
05:15 PM AI for prosthetics: competition review (Competition) Łukasz Kidziński
05:20 PM AI for prosthetics: crowdAI (Competition) Sharada Mohanty
05:25 PM 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
06:25 PM 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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