Model Architecture
5,047 papers
Papers per year
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Papers
Wide Compression: Tensor Ring Nets
CVPR 2018
YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension
SemEval 2018
YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji Prediction
SemEval 2018
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
NeurIPS 2017
Active Convolution: Learning the Shape of Convolution for Image Classification
CVPR 2017
Adaptive Neural Networks for Efficient Inference
ICML 2017
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection
CVPR 2017
Age Progression/Regression by Conditional Adversarial Autoencoder
CVPR 2017
Aggregated Residual Transformations for Deep Neural Networks
CVPR 2017
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
CVPR 2017
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation
CVPR 2017
An Attention-based Regression Model for Grounding Textual Phrases in Images
IJCAI 2017
A Neural Model for Joint Event Detection and Summarization
IJCAI 2017
Attention Based CLDNNs for Short-Duration Acoustic Scene Classification
Interspeech 2017
Attention is All you Need
NeurIPS 2017
Attention Modeling for Targeted Sentiment
EACL 2017
Attention Networks for Modeling Behaviors in Addiction Counseling
Interspeech 2017
Attentive Language Models
IJCNLP 2017
Axiomatic Attribution for Deep Networks
ICML 2017
Beyond Filters: Compact Feature Map for Portable Deep Model
ICML 2017
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks
CVPR 2017
CKY-based Convolutional Attention for Neural Machine Translation
IJCNLP 2017
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
CVPR 2017
Cognitive Mapping and Planning for Visual Navigation
CVPR 2017
Combined Group and Exclusive Sparsity for Deep Neural Networks
ICML 2017