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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4,516 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
Spatiotemporal Contrastive Video Representation Learning
CVPR 2021
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss
CVPR 2021
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
CVPR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
CVPR 2021
Learning by Planning: Language-Guided Global Image Editing
CVPR 2021
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
CVPR 2021
Learning Compositional Representation for 4D Captures With Neural ODE
CVPR 2021
Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing
CVPR 2021
Learning Statistical Texture for Semantic Segmentation
CVPR 2021
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition
CVPR 2021
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop
CVPR 2021
Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation
CVPR 2021
TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations
CVPR 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
CVPR 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications
CVPR 2021
Explore Image Deblurring via Encoded Blur Kernel Space
CVPR 2021
Generative Interventions for Causal Learning
CVPR 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment
CVPR 2021
Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning
CVPR 2021
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries
CVPR 2021
Exploit Visual Dependency Relations for Semantic Segmentation
CVPR 2021
Learning a Facial Expression Embedding Disentangled From Identity
CVPR 2021
Forecasting Irreversible Disease via Progression Learning
CVPR 2021
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