Papers
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher et al.
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges et al.
Submodular Batch Selection for Training Deep Neural Networks
K J Joseph, Vamshi Teja R, Krishnakant Singh et al.
Hypergraph Induced Convolutional Manifold Networks
Taisong Jin, Liujuan Cao, Baochang Zhang et al.
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
Di Jin, Bingyi Li, Pengfei Jiao et al.
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks
Xiaodong Jiang, Pengsheng Ji, Sheng Li
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization
Qiang Jiang, Michael Ng
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyang Jiang, Deqing Yang, Yanghua Xiao et al.
Dynamic Hypergraph Neural Networks
Jianwen Jiang, Yuxuan Wei, Yifan Feng et al.
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring
Xiaowei Jia, Mengdie Wang, Ankush Khandelwal et al.
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Taoran Ji, Zhiqian Chen, Nathan Self et al.
Learning to Learn Gradient Aggregation by Gradient Descent
Jinlong Ji, Xuhui Chen, Qianlong Wang et al.
Assumed Density Filtering Q-learning
Heejin Jeong, Clark Zhang, George J. Pappas et al.
Accelerating Extreme Classification via Adaptive Feature Agglomeration
Ankit Jalan, Purushottam Kar
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
Eugene Ie, Vihan Jain, Jing Wang et al.
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks
Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan
Entangled Kernels
Riikka Huusari, Hachem Kadri
Conditions on Features for Temporal Difference-Like Methods to Converge
Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed
Multi-view Spectral Clustering Network
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng et al.
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate
Haiwen Huang, Chang Wang, Bin Dong
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
Feihu Huang, Shangqian Gao, Songcan Chen et al.
Privacy-aware Synthesizing for Crowdsourced Data
Mengdi Huai, Di Wang, Chenglin Miao et al.
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm
Mengdi Huai, Hongfei Xue, Chenglin Miao et al.
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit
Yi-Qi Hu, Yang Yu, Jun-Da Liao
Hybrid Item-Item Recommendation via Semi-Parametric Embedding
Peng Hu, Rong Du, Yao Hu et al.