Session 1: Deep Learning
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Information
Day 2 (Nov.18), talks: 09:00-11:00, poster session: 11:00-13:30
- Each oral presentation consists of a 12-minute talk and a 2-minute discussion (except for best paper presentations).
- Each spotlight presentation consists of 2.5-minute talk.
- Both oral and spotlight presentations are also presented in the poster session.
List of papers
- [Oral] [Poster: Mon01] Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
- DifanZou (University of California, Los Angeles); Yuan Cao (UCLA); Dongruo Zhou (UCLA); Quanquan Gu (University of California, Los Angeles) [Journal Track, Paper ID: 148]
- [Oral] [Poster: Mon02] Efficient Diversified Mini-Batch Selection using Variable High-layer Features
- Wanming Huang (UTS); Richard Yi Da Xu (University of Technology, Sydney); Ian Oppermann (The Treasury) [Conference Track, Paper ID: 132]
- [Spotlight] [Poster: Mon03] ResNet and Batch-normalization Improve Data Separability
- Yasutaka Furusho (Nara Institute of Science and Technology); Kazushi Ikeda (Nara Institute of Science and Technology) [Conference Track, Paper ID: 71]
- [Spotlight] [Poster: Mon04] Focused Anchors Loss:cost-sensitive learning ofdiscriminative features for imbalanced classification
- Bahram Baloch (NUCES); Sateesh Kumar (NUCES); Sanjay Haresh (NUCES); Tahir Syed (National University of Computer and Emerging Sciences) [Conference Track, Paper ID: 324]
- [Spotlight] [Poster: Mon05] Adaptive truncated residual regression for fine-grained regression problems
- Hirotaka Hachiya (Center for Advanced Intelligence Project, RIKEN); Yamamoto Yu (Center for Advanced Intelligence Project, RIKEN); Kazuro HIrahara (Center for Advance Intelligence Project, RIKEN); Naonori Ueda (NTT) [Conference Track, Paper ID: 336]
- [Spotlight] [Poster: Mon06] G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors
- Xing Wu (SunYat-sen university); Lifeng Huang (SunYat-sen university); Chengying Gao (SunYat-sen university) [Conference Track, Paper ID: 419]
- [Spotlight] [Poster: Mon07] Towards Governing Agent’s Efficacy:Action-Conditional β-VAE for Deep Transparent Reinforcement Learning
- John Yang (Seoul National University); Gyuejeong Lee (Seoul National University); Simyung Chang (Seoul National University); Nojun Kwak (Seoul National University) [Conference Track, Paper ID: 53]
- [Spotlight] [Poster: Mon08] Convolutional Neural Collaborative Filtering with Stacked Embeddings
- Liu Han (Huazhong University of Science and Technology); Hailong Wu (Huazhong University of Science and Technology); Nan Hu (Huazhong University of Science and Technology); Binbin Qu (Huazhong University of Science and Technology) [Conference Track, Paper ID: 288]
- [Spotlight] [Poster: Mon09] Investigating the effect of novel classes in semi-supervised learning
- Yuxuan(Alex) Peng (University of Auckland); Yun Sing Koh (The University of Auckland, New Zealand); Patricia Riddle (University of Auckland, New Zealand); Bernhard Pfahringer (University of Waikato) [Conference Track, Paper ID: 271]
- [Spotlight] [Poster: Mon10] From Implicit to Explicit Feedbacks: A deep neural network for modeling the sequential behaviors of online users
- Anh Phan Tuan (Hanoi University of Science and Technology); Nhat Nguyen Trong (VCCorp Corporation); Duong Bui Trong (VCcorp Corporation); Linh Ngo Van (Hanoi University of Science and Technology); Khoat Than (Hanoi University of Science and Technology) [Conference Track, Paper ID: 416]
- [Spotlight] [Poster: Mon11] Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders
- Yunxiao Wang (Nanjing University of Posts and Telecommunications); Zheng Liu (Nanjing University of Posts and Telecommunications); Di Hu (Nanjing University of Posts and Telecommunications); Mian Zhang (Nanjing University of Posts and Telecommunications) [Conference Track, Paper ID: 106]
- [Oral] [Poster: Mon12] Regularizing Neural Networks via Stochastic Branch Layers
- Wonpyo Park (POSTECH); Paul Hongsuck Seo (POSTECH); Bohyung Han (Seoul National University); Minsu Cho (POSTECH) [Conference Track, Paper ID: 277]
- [Oral] [Poster: Mon13] Variational Conditional GAN for Fine-grained Controllable Image Generation
- Mingqi Hu (Southeast University); Deyu Zhou (Southeast University); Yulan He (University of Warwick) [Conference Track, Paper ID: 75]
- [Spotlight] [Poster: Mon14] An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network
- Chenhui Huang (East China Normal University); Jinhua Xu (East China Normal University) [Conference Track, Paper ID: 273]
- [Spotlight] [Poster: Mon15] Nuclei segmentation by using convolutional network withdistance map and contour information
- Xiaoming Liu (Wuhan University of Science and Technology); Zhengsheng Guo (Wuhan University of Science and Technology); Bo Li (Wuhan University of Science and Technology); Jun Cao (Wuhan University of Science and Technology) [Conference Track, Paper ID: 359]
- [Spotlight] [Poster: Mon16] Multi-branch Siamese Network for High Performance Online Visual Tracking
- Junfei Zhuang (Beijing University of Posts and Telecommunications & Beijing FaceAll Co); Yuan Dong ( Beijing University of Posts and Telecommunications); Hongliang Bai (Beijing Faceall Technology Co.,Ltd); wang gang (srcb) [Conference Track, Paper ID: 252]
- [Spotlight] [Poster: Mon17] Forward-Backward Generative Adversarial Networks for Anomaly Detection
- Youngnam Kim (Pohang University of Science and Technology); Seungjin Choi (BARO) [Conference Track, Paper ID: 403]
- [Spotlight] [Poster: Mon18] Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network
- Xiaoming Liu (Wuhan University of Science and Technology); Xiangkai Wei (Wuhan University of Science and Technology); Aihui Yu (Wuhan University of Science and Technology); Zhifang Pan (Wenzhou Medical University) [Conference Track, Paper ID: 364]
- [Spotlight] [Poster: Mon19] Surface Reconstruction based on Self-Merging Octree with Deep Learning
- Jian Lv (North University of China); Xie Han (North University of China); Jiajie Zheng (North University of China); Fengguang Xiong (North University of China); Min Pang (North University of China) [Conference Track, Paper ID: 342]
- [Spotlight] [Poster: Mon20] Realistic Image Generation using Region-phrase Attention
- Wanming Huang (UTS); Richard Yi Da Xu (University of Technology, Sydney); Ian Oppermann (The Treasury) [Conference Track, Paper ID: 128]
- [Spotlight] [Poster: Mon21] An Encoding Adversarial Network for Anomaly Detection
- Elies gherbi (irt-SystemX / Evry University); Blaize Hanczar (University of Evry); Jean-Christophe Janodet (University of Evry); Witold Klaudel (Renault) [Conference Track, Paper ID: 115]