conftrace_

convolutional neural network

4226 papers

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Also known as

CNN CONVNET

Co-occurring keywords

image classification (1944) object detection (2762) semantic segmentation (3186) attention mechanism (4001) model compression (3302) recurrent neural network (1790) text classification (6793) feature extraction (1580) feature learning (1311) representation learning (6206)

Papers

Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting CVPR 2016
Recurrent Attention Models for Depth-Based Person Identification CVPR 2016
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network CVPR 2016
Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction CVPR 2016
Ranking Responses Oriented to Conversational Relevance in Chat-bots COLING 2016
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NIPS 2016
Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016
Siamese Convolutional Networks for Cognate Identification COLING 2016
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF COLING 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016
Event-Specific Image Importance CVPR 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement INTERSPEECH 2016
Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering COLING 2016
Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016
Seeing Behind the Camera: Identifying the Authorship of a Photograph CVPR 2016
Attention to Scale: Scale-Aware Semantic Image Segmentation CVPR 2016
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016
Cross-Stitch Networks for Multi-Task Learning CVPR 2016
PatchBatch: A Batch Augmented Loss for Optical Flow CVPR 2016
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016
Pose-Aware Face Recognition in the Wild CVPR 2016