Papers
Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu et al.
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang, Haoyu Wang, Wenhao Hu et al.
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
Bingbing Jiang, Xingyu Wu, Kui Yu et al.
Multi-Dimensional Classification via kNN Feature Augmentation
Bin-Bin Jia, Min-Ling Zhang
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data
Neal Jean, Sherrie Wang, Anshul Samar et al.
Classification with Costly Features Using Deep Reinforcement Learning
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
Model-Free IRL Using Maximum Likelihood Estimation
Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
Meta-Descent for Online, Continual Prediction
Andrew Jacobsen, Matthew Schlegel, Cameron Linke et al.
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data
Tomoharu Iwata, Hitoshi Shimizu
TAPAS: Train-Less Accuracy Predictor for Architecture Search
R. Istrate, F. Scheidegger, G. Mariani et al.
Estimating the Causal Effect from Partially Observed Time Series
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku et al.
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Akira Imakura, Momo Matsuda, Xiucai Ye et al.
Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui, Xiang Li, Chen Gong et al.
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets
Zhiwu Huang, Jiqing Wu, Luc Van Gool
Large-Scale Heterogeneous Feature Embedding
Xiao Huang, Qingquan Song, Fan Yang et al.
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
Wenzhen Huang, Junge Zhang, Kaiqi Huang
Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding et al.
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations
Kun Huang, Bingbing Ni, Xiaokang Yang
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Yi-Qi Hu, Yang Yu, Wei-Wei Tu et al.
One-Pass Incomplete Multi-View Clustering
Menglei Hu, Songcan Chen
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
Liang Hu, Songlei Jian, Longbing Cao et al.
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert et al.