Papers
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker et al.
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta, Mohammad Rastegari, Linda Shapiro et al.
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images
Yeonkun Lee, Jaeseok Jeong, Jongseob Yun et al.
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
Zhourong Chen, Yang Li, Samy Bengio et al.
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou et al.
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics
Yunbo Wang, Jianjin Zhang, Hongyu Zhu et al.
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search
Xin Li, Yiming Zhou, Zheng Pan et al.
Generating 3D Adversarial Point Clouds
Chong Xiang, Charles R. Qi, Bo Li
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Vladimir Nekrasov, Hao Chen, Chunhua Shen et al.
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
Structured Pruning of Neural Networks With Budget-Aware Regularization
Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Jorg Wagner, Jan Mathias Kohler, Tobias Gindele et al.
SparseFool: A Few Pixels Make a Big Difference
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Robustness via Curvature Regularization, and Vice Versa
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato et al.
Deep Incremental Hashing Network for Efficient Image Retrieval
Dayan Wu, Qi Dai, Jing Liu et al.
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
Jian Ren, Zhe Li, Jianchao Yang et al.
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
Xijun Wang, Meina Kan, Shiguang Shan et al.
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
Masanori Suganuma, Xing Liu, Takayuki Okatani
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
Seonguk Seo, Paul Hongsuck Seo, Bohyung Han
IRLAS: Inverse Reinforcement Learning for Architecture Search
Minghao Guo, Zhao Zhong, Wei Wu et al.
Learning Not to Learn: Training Deep Neural Networks With Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim et al.
Transferable AutoML by Model Sharing Over Grouped Datasets
Chao Xue, Junchi Yan, Rong Yan et al.
Deep Robust Subjective Visual Property Prediction in Crowdsourcing
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang et al.
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning
Matthew Amodio, Smita Krishnaswamy
Cross Domain Model Compression by Structurally Weight Sharing
Shangqian Gao, Cheng Deng, Heng Huang