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Lightning Talk
Lightning Talks 1B-4
Andrei Atanov · Shiqi Yang · Wanshan Li · Yongchang Hao · Ziquan Liu · Jiaxin Shi · Anton Plaksin · Jiaxiang Chen · Ziqi Pan · yaxing wang · Yuxin Liu · Stepan Martyanov · Alessandro Rinaldo · Yuhao Zhou · Li Niu · Qingyuan Yang · Andrei Filatov · Yi Xu · Liqing Zhang · Lili Mou · Ruomin Huang · Teresa Yeo · kai wang · Daren Wang · Jessica Hwang · Yuanhong Xu · Qi Qian · Hu Ding · Michalis Titsias · Shangling Jui · Ajay Sohmshetty · Lester Mackey · Joost van de Weijer · Hao Li · Amir Zamir · Xiangyang Ji · Antoni Chan · Rong Jin
- [ 64842 ] Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
- [ 64843 ] Improved Fine-Tuning by Better Leveraging Pre-Training Data
- [ 64845 ] Task Discovery: Finding the Tasks that Neural Networks Generalize on
- [ 64846 ] Coresets for Relational Data and The Applications
- [ 64847 ] Teacher Forcing Recovers Reward Functions for Text Generation
- [ 64849 ] UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator
- [ 64850 ] Gradient Estimation with Discrete Stein Operators
- [ 64851 ] Detecting Abrupt Changes in Sequential Pairwise Comparison Data
- [ 64852 ] Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Q&A on RocketChat immediately following Lightning Talks
Author Information
Andrei Atanov (EPFL)
Shiqi Yang (Computer Vision Center Barcelona)
Edifici O campus UAB ESQ5856375J
Wanshan Li (Carnegie Mellon University)
Yongchang Hao (University of Alberta)
Ziquan Liu (City University of Hong Kong)
Jiaxin Shi (Stanford University)
Anton Plaksin (N.N. Krasovskii Institute of Mathematics and Mechanics)
Jiaxiang Chen (University of Science and Technology of China)
Ziqi Pan (Shanghai JiaoTong University)
yaxing wang (Centre de Visió per Computador (CVC))
Yuxin Liu (University of Alberta)
Stepan Martyanov (Ural Federal University)
Alessandro Rinaldo (CMU)
Yuhao Zhou (Tsinghua University)
Li Niu (Shanghai Jiao Tong University)
Qingyuan Yang (University of Science and Technology of China)
Andrei Filatov (Moscow Institute of Physics and Technology)
Yi Xu (Alibaba Group U.S. Inc.)
Liqing Zhang (Shanghai Jiao Tong University)
Lili Mou (University of Alberta)
Ruomin Huang (University of Science and Technology of China)
Teresa Yeo (EPFL)
kai wang (Computer Vision Center, UAB)
Daren Wang (University of Chicago)
Jessica Hwang (Stanford University)
Yuanhong Xu
Qi Qian (Alibaba Group)
Hu Ding (University of Science and Technology of China)
Michalis Titsias (DeepMind)
Shangling Jui (Huawei)
Dr. Jui is the chief AI scientist of Huawei Kirin team. His knowledge on AI and reinforcement learning has guided the team to build the eco-system of Kirin platform. He support decisions and investment of AI to Canadian universities including UBC, SFU, UofToronto, UofAlberta, UofWaterloo, etc., through joint lab collaborations and local Huawei offices.
Ajay Sohmshetty (Harmonic AI)
Lester Mackey (Microsoft Research)
Joost van de Weijer (Computer Vision Center Barcelona)
Hao Li (alibaba group)
Amir Zamir (Swiss Federal Institute of Technology (EPFL))
Xiangyang Ji (Tsinghua University)
Antoni Chan (City University of Hong Kong)
Rong Jin (Alibaba)
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2015 Poster: Measuring Sample Quality with Stein's Method »
Jackson Gorham · Lester Mackey -
2015 Spotlight: Measuring Sample Quality with Stein's Method »
Jackson Gorham · Lester Mackey -
2015 Poster: Local Expectation Gradients for Black Box Variational Inference »
Michalis Titsias · Miguel Lázaro-Gredilla -
2014 Workshop: High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML) »
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen -
2014 Poster: Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models »
Michalis Titsias · Christopher Yau -
2014 Spotlight: Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models »
Michalis Titsias · Christopher Yau -
2013 Poster: Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression »
Michalis Titsias · Miguel Lazaro-Gredilla -
2013 Poster: Cluster Trees on Manifolds »
Sivaraman Balakrishnan · Srivatsan Narayanan · Alessandro Rinaldo · Aarti Singh · Larry Wasserman -
2012 Workshop: Algebraic Topology and Machine Learning »
Sivaraman Balakrishnan · Alessandro Rinaldo · Donald Sheehy · Aarti Singh · Larry Wasserman -
2012 Poster: The variational hierarchical EM algorithm for clustering hidden Markov models. »
Emanuele Coviello · Antoni Chan · Gert Lanckriet -
2011 Poster: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI -
2011 Poster: Minimax Localization of Structural Information in Large Noisy Matrices »
Mladen Kolar · Sivaraman Balakrishnan · Alessandro Rinaldo · Aarti Singh -
2011 Demonstration: Contour-Based Large Scale Image Retrieval Platform »
Rong Zhou · Liqing Zhang -
2011 Spotlight: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI -
2011 Spotlight: Minimax Localization of Structural Information in Large Noisy Matrices »
Mladen Kolar · Sivaraman Balakrishnan · Alessandro Rinaldo · Aarti Singh -
2011 Poster: Portmanteau Vocabularies for Multi-Cue Image Representation »
Fahad S Khan · Joost van de Weijer · Andrew D Bagdanov · Maria Vanrell -
2008 Poster: Dynamic Visual Attention: Searching for coding length increments »
Xiaodi Hou · Liqing Zhang -
2008 Spotlight: Dynamic Visual Attention: Searching for coding length increments »
Xiaodi Hou · Liqing Zhang