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• Eliminating Latent Discrimination: Train Then Mask

  Soheil Ghili, Ehsan Kazemi, Amin Karbasi

  3672-3680

  2019-07-17

• Interpretation of Neural Networks Is Fragile

  Amirata Ghorbani, Abubakar Abid, James Zou

  3681-3688

  2019-07-17

• Using Benson’s Algorithm for Regularization Parameter Tracking

  Joachim Giesen, Sӧren Laue, Andreas Lӧhne, Christopher Schneider

  3689-3696

  2019-07-17

• Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy

  Bin Gu, Zhouyuan Huo, Heng Huang

  3697-3704

  2019-07-17

• AFS: An Attention-Based Mechanism for Supervised Feature Selection

  Ning Gui, Danni Ge, Ziyin Hu

  3705-3713

  2019-07-17

• MixUp as Locally Linear Out-of-Manifold Regularization

  Hongyu Guo, Yongyi Mao, Richong Zhang

  3714-3722

  2019-07-17

• Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

  Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

  3723-3730

  2019-07-17

• Smooth Deep Image Generator from Noises

  Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

  3731-3738

  2019-07-17

• Hybrid Reinforcement Learning with Expert State Sequences

  Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

  3739-3746

  2019-07-17

• Distributional Semantics Meets Multi-Label Learning

  Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

  3747-3754

  2019-07-17

• Temporal Anomaly Detection: Calibrating the Surprise

  Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer

  3755-3762

  2019-07-17

• Efficient and Scalable Multi-Task Regression on Massive Number of Tasks

  Xiao He, Francesco Alesiani, Ammar Shaker

  3763-3770

  2019-07-17

• Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

  Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

  3771-3778

  2019-07-17

• Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

  Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

  3779-3787

  2019-07-17

• The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering

  Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

  3788-3795

  2019-07-17

• Multi-Task Deep Reinforcement Learning with PopArt

  Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt

  3796-3803

  2019-07-17

• Interaction-Aware Factorization Machines for Recommender Systems

  Fuxing Hong, Dongbo Huang, Ge Chen

  3804-3811

  2019-07-17

• Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

  Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

  3812-3821

  2019-07-17

• Learning to Adaptively Scale Recurrent Neural Networks

  Hao Hu, Liqiang Wang, Guo-Jun Qi

  3822-3829

  2019-07-17

• HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation

  Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

  3830-3837

  2019-07-17

• One-Pass Incomplete Multi-View Clustering

  Menglei Hu, Songcan Chen

  3838-3845

  2019-07-17

• Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion

  Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

  3846-3853

  2019-07-17

• Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations

  Kun Huang, Bingbing Ni, Xiaokang Yang

  3854-3861

  2019-07-17

• Efficient Identification of Approximate Best Configuration of Training in Large Datasets

  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

  3862-3869

  2019-07-17

• Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning

  Wenzhen Huang, Junge Zhang, Kaiqi Huang

  3870-3877

  2019-07-17