Papers
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Xudong Mao, Qing Li
On Q-learning Convergence for Non-Markov Decision Processes
Sultan Javed Majeed, Marcus Hutter
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering
Sihan Ma, Lefei Zhang, Wenbin Hu et al.
Hierarchical Active Learning with Group Proportion Feedback
Zhipeng Luo, Milos Hauskrecht
Online Heterogeneous Transfer Metric Learning
Yong Luo, Tongliang Liu, Yonggang Wen et al.
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing
Xin Luo, Xiao-Ya Yin, Liqiang Nie et al.
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks
Yao Lu, Guangming Lu, Yuanrong Xu et al.
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Canyi Lu, Jiashi Feng, Zhouchen Lin et al.
Fast Cross-Validation
Yong Liu, Hailun Lin, Lizhong Ding et al.
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder
Yang Liu, Quanxue Gao, Jin Li et al.
Learning with Adaptive Neighbors for Image Clustering
Yang Liu, Quanxue Gao, Zhaohua Yang et al.
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics
Yanchi Liu, Tan Yan, Haifeng Chen
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
Risheng Liu, Shichao Cheng, Yi He et al.
Contextual Outlier Interpretation
Ninghao Liu, Donghwa Shin, Xia Hu
Structured Inference for Recurrent Hidden Semi-markov Model
Hao Liu, Lirong He, Haoli Bai et al.
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
Fang Liu, Sinong Wang, Swapna Buccapatnam et al.
Episodic Memory Deep Q-Networks
Zichuan Lin, Tianqi Zhao, Guangwen Yang et al.
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning
Shaohui Lin, Rongrong Ji, Yuchao Li et al.
Unsupervised Disentangled Representation Learning with Analogical Relations
Zejian Li, Yongchuan Tang, Yongxing He
R-SVM+: Robust Learning with Privileged Information
Xue Li, Bo Du, Chang Xu et al.
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
Ximing Li, Changchun Li, Jinjin Chi et al.
Deep Joint Semantic-Embedding Hashing
Ning Li, Chao Li, Cheng Deng et al.
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Haifang Li, Yingce Xia, Wensheng Zhang
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression
Guiying Li, Chao Qian, Chunhui Jiang et al.