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Model Architecture

4351 directly classified papers

Papers per year

Papers

Fast End-to-End Trainable Guided Filter CVPR 2018
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences IJCAI 2018
Insights on representational similarity in neural networks with canonical correlation NIPS 2018
Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network NIPS 2018
Training Neural Networks Using Features Replay NIPS 2018
Sigsoftmax: Reanalysis of the Softmax Bottleneck NIPS 2018
TETRIS: TilE-matching the TRemendous Irregular Sparsity NIPS 2018
Weightless: Lossy weight encoding for deep neural network compression ICML 2018
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions NIPS 2018
High Performance Zero-Memory Overhead Direct Convolutions ICML 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NIPS 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Training Deeper Neural Machine Translation Models with Transparent Attention EMNLP 2018
Single View Stereo Matching CVPR 2018
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation CVPR 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations CVPR 2018
Convolutional Neural Networks With Alternately Updated Clique CVPR 2018
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking CVPR 2018
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking COLING 2018
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge CVPR 2018
Interpretable Structure Induction via Sparse Attention EMNLP 2018
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NIPS 2018
Efficient Neural Architecture Search via Parameters Sharing ICML 2018
Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction ICML 2018