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Neural Networks

11300 directly classified papers

Papers per year

Papers

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
The Expressive Power of Neural Networks: A View from the Width NIPS 2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NIPS 2017
Dynamic Routing Between Capsules NIPS 2017
Predictive State Recurrent Neural Networks NIPS 2017
Nonlinear random matrix theory for deep learning NIPS 2017
One-Shot Video Object Segmentation CVPR 2017
Spherical convolutions and their application in molecular modelling NIPS 2017
Opinion Recommendation Using A Neural Model EMNLP 2017
Memory-augmented Neural Machine Translation EMNLP 2017
End-to-End Neural Relation Extraction with Global Optimization EMNLP 2017
Accurate Supervised and Semi-Supervised Machine Reading for Long Documents EMNLP 2017
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification EMNLP 2017
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal EMNLP 2017
TAG Parsing with Neural Networks and Vector Representations of Supertags EMNLP 2017
Semi-supervised Structured Prediction with Neural CRF Autoencoder EMNLP 2017
CRF Autoencoder for Unsupervised Dependency Parsing EMNLP 2017
A Question Answering Approach for Emotion Cause Extraction EMNLP 2017
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification EMNLP 2017
Multimodal Learning and Reasoning for Visual Question Answering NIPS 2017
An inner-loop free solution to inverse problems using deep neural networks NIPS 2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition CVPR 2017
Accurate Single Stage Detector Using Recurrent Rolling Convolution CVPR 2017
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017
Building a Regular Decision Boundary With Deep Networks CVPR 2017