Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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453
859
1,652
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5,368
6,434
7,726
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Papers (including subtopics)
REPAIR: Removing Representation Bias by Dataset Resampling
CVPR 2019
Reparameterizing Distributions on Lie Groups
AISTATS 2019
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
AAAI 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
CVPR 2019
Representation Degeneration Problem in Training Natural Language Generation Models
ICLR 2019
Representation Flow for Action Recognition
CVPR 2019
Representation Learning on Graphs: A Reinforcement Learning Application
AISTATS 2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
EMNLP 2019
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
CVPR 2019
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
ICLR 2019
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
ACL 2019
RePr: Improved Training of Convolutional Filters
CVPR 2019
Resampled Priors for Variational Autoencoders
AISTATS 2019
Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings
Interspeech 2019
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition
Interspeech 2019
Residual Compensation Networks for Heterogeneous Face Recognition
AAAI 2019
Residual Flows for Invertible Generative Modeling
NeurIPS 2019
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
AAAI 2019
Residual Networks for Light Field Image Super-Resolution
CVPR 2019
Residual Non-local Attention Networks for Image Restoration
ICLR 2019
Residual Regression With Semantic Prior for Crowd Counting
CVPR 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
AAAI 2019
ResNet and Batch-normalization Improve Data Separability
ACML 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
NeurIPS 2019
Resolving Gendered Ambiguous Pronouns with BERT
ACL 2019