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Model Architecture

4351 directly classified papers

Papers per year

Papers

Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016
Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016
FPNN: Field Probing Neural Networks for 3D Data NIPS 2016
Multimodal Residual Learning for Visual QA NIPS 2016
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016
Modulation Spectral Features for Predicting Vocal Emotion Recognition by Simulated Cochlear Implants INTERSPEECH 2016
Doubly Convolutional Neural Networks NIPS 2016
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016
Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016
Convolutional Neural Fabrics NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Attention-Based Convolutional Neural Network for Semantic Relation Extraction COLING 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks ICCV 2015
Exemplar SVMs as Visual Feature Encoders CVPR 2015
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets CVPR 2015
Spatial Transformer Networks NIPS 2015
Deep Learning with Limited Numerical Precision ICML 2015
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015
Sparse Convolutional Neural Networks CVPR 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature ICML 2015
Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition ICCV 2015