Papers
Interaction-Aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
Multi-Task Deep Reinforcement Learning with PopArt
Matteo Hessel, Hubert Soyer, Lasse Espeholt et al.
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz et al.
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun et al.
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo, Minsik Lee, Sangdoo Yun et al.
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker
Temporal Anomaly Detection: Calibrating the Surprise
Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato et al.
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan et al.
Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo, Shiyu Chang, Mo Yu et al.
Smooth Deep Image Generator from Noises
Tianyu Guo, Chang Xu, Boxin Shi et al.
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He et al.
MixUp as Locally Linear Out-of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
AFS: An Attention-Based Mechanism for Supervised Feature Selection
Ning Gui, Danni Ge, Ziyin Hu
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
Bin Gu, Zhouyuan Huo, Heng Huang
Using Benson’s Algorithm for Regularization Parameter Tracking
Joachim Giesen, Sӧren Laue, Andreas Lӧhne et al.
Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili, Ehsan Kazemi, Amin Karbasi
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Xu Geng, Yaguang Li, Leye Wang et al.
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Carles Gelada, Marc G. Bellemare
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting
Yuyang Gao, Liang Zhao, Lingfei Wu et al.
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Tingran Gao, Shahab Asoodeh, Yi Huang et al.
Explainable Recommendation through Attentive Multi-View Learning
Jingyue Gao, Xiting Wang, Yasha Wang et al.
Towards Reliable Learning for High Stakes Applications
Jinyang Gao, Junjie Yao, Yingxia Shao
Bayesian Posterior Approximation via Greedy Particle Optimization
Futoshi Futami, Zhenghang Cui, Issei Sato et al.