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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
3D-Assisted Feature Synthesis for Novel Views of an Object
ICCV 2015
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
ICML 2015
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection
ICCV 2015
Learning to Predict Saliency on Face Images
ICCV 2015
Personalized Age Progression With Aging Dictionary
ICCV 2015
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning
ICCV 2015
Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD
ICCV 2015
Task-Driven Feature Pooling for Image Classification
ICCV 2015
Aggregating Local Deep Features for Image Retrieval
ICCV 2015
Learning Image Representations Tied to Ego-Motion
ICCV 2015
Bilinear CNN Models for Fine-Grained Visual Recognition
ICCV 2015
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
ICML 2015
Convolutional Sparse Coding for Image Super-Resolution
ICCV 2015
Learning Deep Representation With Large-Scale Attributes
ICCV 2015
Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging
ICCV 2015
Unsupervised Learning of Visual Representations Using Videos
ICCV 2015
Local Subspace Collaborative Tracking
ICCV 2015
Video Super-Resolution via Deep Draft-Ensemble Learning
ICCV 2015
Deep Multi-Patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation
ICCV 2015
Unsupervised Visual Representation Learning by Context Prediction
ICCV 2015
Understanding and Predicting Image Memorability at a Large Scale
ICCV 2015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
ICCV 2015
Matrix Backpropagation for Deep Networks With Structured Layers
ICCV 2015
Semi-Supervised Zero-Shot Classification With Label Representation Learning
ICCV 2015
Recurrent Network Models for Human Dynamics
ICCV 2015
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