Papers
Utilizing Class Information for Deep Network Representation Shaping
Daeyoung Choi, Wonjong Rhee
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gábor Orosz, Richard M. Murray et al.
Image Block Augmentation for One-Shot Learning
Zitian Chen, Yanwei Fu, Kaiyu Chen et al.
Tensor Decomposition for Multilayer Networks Clustering
Zitai Chen, Chuan Chen, Zibin Zheng et al.
Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi et al.
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie et al.
Data-Adaptive Metric Learning with Scale Alignment
Shuo Chen, Chen Gong, Jian Yang et al.
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang et al.
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai et al.
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
Chen Chen, Haobo Wang, Weiwei Liu et al.
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang et al.
Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang, Yongxin Yang, Tao Xiang et al.
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov et al.
Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Junyu Cao, Wei Sun
FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai, Yang Wu, Guanbin Li et al.
Deep Convolutional Sum-Product Networks
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos et al.
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen et al.
Online Learning from Data Streams with Varying Feature Spaces
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Christopher Bartley, Wei Liu, Mark Reynolds
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition
Wissam J. Baddar, Yong Man Ro
High Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang et al.
Random Feature Maps for the Itemset Kernel
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama