序号 |
报告人 |
报告人单位 |
论文题目 |
会议名称 |
1 |
孙泽群 |
南京大学 |
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation [paper] [poster] |
AAAI'20 |
2 |
谢明昆 |
南京航空航天大学 |
Partial Multi-Label Learning with Noisy Label Identification [paper] [poster] |
AAAI'20 |
3 |
王新 |
中国科学技术大学 |
Fine-Grained Similarity Measurement between Educational Videos and Exercises [paper] [poster] |
ACM MM'20 |
4 |
巩国强 |
北京大学王选计算机研究所 |
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization [paper] [poster] |
CVPR'20 |
5 |
李春光 |
北京邮电大学 |
Stochastic Sparse Subspace Clustering [paper] [poster] |
CVPR'20 |
6 |
王红 |
西安交通大学 |
A Model-driven Deep Neural Network for Single Image Rain Removal [paper] [poster] |
CVPR'20 |
7 |
王旗龙 |
天津大学 |
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks [paper] [poster] |
CVPR'20 |
8 |
张晨麟 |
南京大学 |
Rethinking the Route Towards Weakly Supervised Object Localization [paper] [poster] |
CVPR'20 |
9 |
林嘉栋 |
华中科技大学 |
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks [paper] [poster] |
ICLR'20 |
10 |
储德军 |
合肥工业大学 |
Semismooth Newton Algorithm for Efficient Projections onto l1,∞-norm Ball [paper] [poster] |
ICML'20 |
11 |
郭兰哲 |
南京大学 |
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data [paper] [poster] [ppt] |
ICML'20 |
12 |
吕佳祺 |
东南大学 |
Progressive Identification of True Labels for Partial-Label Learning [paper] [poster] |
ICML'20 |
13 |
张震宇 |
南京大学 |
Learning with Feature and Distribution Evolvable Streams [paper] [poster] |
ICML'20 |
14 |
董传奇 |
南京大学 |
Learning Task-aware Local Representations for Few-shot Learning [paper] [poster] |
IJCAI'20 |
15 |
杨天培 |
天津大学 |
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer [paper] [poster] |
IJCAI'20 |
16 |
周芃 |
安徽大学 |
Self-paced Consensus Clustering with Bipartite Graph [paper] [poster] |
IJCAI'20 |
17 |
吕庚育 |
北京交通大学 |
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism [paper] |
KDD'20 |
18 |
邓志杰 |
清华大学 |
Understanding and Exploring the Network with Stochastic Architectures [paper] [poster] |
NeurIPS'20 |
19 |
李翔 |
南京理工大学 |
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object
Detection [paper] [poster] |
NeurIPS'20 |
20 |
刘乾 |
北京航空航天大学 |
Compositional Generalization by Learning Analytical Expressions [paper] [poster] |
NeurIPS'20 |
21 |
刘芷宁 |
吉林大学 |
MESA: Effective Ensemble Imbalanced Learning with MEta-Sampler [paper] [poster] |
NeurIPS'20 |
22 |
唐浩 |
上海交通大学 |
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs [paper] [ppt] |
NeurIPS'20 |
23 |
王希梅 |
清华大学 |
Transferable Calibration with Lower Bias and Variance in Domain Adaptation [paper] [poster] [pre] |
NeurIPS'20 |
24 |
吴栋贤 |
清华大学 |
Adversarial Weight Perturbation Helps Robust Generalization [poster] |
NeurIPS'20 |
25 |
巫朝政 |
华南理工大学 |
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps [paper] [poster] |
NeurIPS'20 |
26 |
许天 |
南京大学 |
Error Bounds of Imitating Policies and Environments [paper] [poster] |
NeurIPS'20 |
27 |
张宇杰 |
南京大学 |
An Unbiased Risk Estimator for Learning with Augmented Classes [paper] [poster] |
NeurIPS'20 |
序号 |
报告人 |
报告人单位 |
论文题目 |
会议名称 |
1 |
贾彬彬 |
东南大学 |
Maximum Margin Multi-Dimensional Classification [paper] [poster] |
AAAI'20 |
2 |
姚兴虎 |
南京航空航天大学 |
Enhancing Centralized Value Functions for Cooperative Multi-agent Reinforcement Learning [paper] [poster] |
AAAI'20 |
3 |
陆苏 |
南京大学 |
Distilling Cross-Task Knowledge via Relationship Matching [paper] [poster] |
CVPR'20 |
4 |
王振 |
天津大学 |
Training Noise-Robust Deep Neural Networks via Meta-Learning [paper] |
CVPR'20 |
5 |
王维埙 |
天津大学 |
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems [paper] [poster] |
ICLR'20 |
6 |
眭亚楠 |
清华大学 |
Safe Reinforcement Learning in Constrained Markov Decision Processes [paper] [poster] |
ICML'20 |
7 |
王天佐 |
南京大学 |
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable [paper] [poster] |
ICML'20 |
8 |
周聿浩 |
清华大学 |
Nonparametric Score Estimators [paper] |
ICML'20 |
9 |
李徵 |
中国科学技术大学 |
Learning the Compositional Visual Coherence for Complementary Recommendations [paper] [poster] |
IJCAI'20 |
10 |
徐碧村 |
南京大学 |
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection [paper] [poster] |
KDD'20 |
11 |
于乐 |
北京航空航天大学 |
Predicting Temporal Sets with Deep Neural Networks [paper] [poster] |
KDD'20 |
12 |
孔芳 |
上海交通大学 |
Online Influence Maximization under Linear Threshold Model [poster] |
NeurIPS'20 |
13 |
宋恺涛 |
南京理工大学 |
MPNet: Masked and Permuted Pre-training for Language Understanding [paper] [poster] |
NeurIPS'20 |