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Methodology
← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Training Group Orthogonal Neural Networks with Privileged Information
IJCAI 2017
Large-scale Subspace Clustering by Fast Regression Coding
IJCAI 2017
Projective Low-rank Subspace Clustering via Learning Deep Encoder
IJCAI 2017
Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding
IJCAI 2017
Classification and Representation Joint Learning via Deep Networks
IJCAI 2017
SEVEN: Deep Semi-supervised Verification Networks
IJCAI 2017
Deep Supervised Hashing with Nonlinear Projections
IJCAI 2017
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
IJCAI 2017
Deep Speaker Feature Learning for Text-Independent Speaker Verification
INTERSPEECH 2017
Duration Mismatch Compensation Using Four-Covariance Model and Deep Neural Network for Speaker Verification
INTERSPEECH 2017
Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls
INTERSPEECH 2017
Improving Source Separation via Multi-Speaker Representations
INTERSPEECH 2017
Improved Word Representation Learning with Sememes
ACL 2017
Deep Representation Learning for Human Motion Prediction and Classification
CVPR 2017
Convolutional Neural Network Architecture for Geometric Matching
CVPR 2017
Unite the People: Closing the Loop Between 3D and 2D Human Representations
CVPR 2017
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
CVPR 2017
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
CVPR 2017
Semantic Compositional Networks for Visual Captioning
CVPR 2017
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets
CVPR 2017
Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials
CVPR 2017
Scene Graph Generation by Iterative Message Passing
CVPR 2017
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
CVPR 2017
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
CVPR 2017
Sports Field Localization via Deep Structured Models
CVPR 2017
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