Deep learning · representation learning papers, 2023–2026

Key findings

• Deep learning · representation learning fell from 259 papers in 2023 to 214 in 2026, so interest is cooling.
• NeurIPS publishes the most Deep learning · representation learning work: 279 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 11 in 2023 to 28 in 2026.
• Among the 11 topics under Deep Learning, it ranks #7 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 0.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
• ICML 2026Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
• ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
• CVPR 2026CanonCGT Reference-Based Color Grading via Canonical Pivot Representation
• NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• ICML 2025Banyan: Improved Representation Learning with Explicit Structure
• ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
• ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Disentangled Prompt Representation for Domain Generalization
• NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
• ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
• ICLR 2023Bispectral Neural Networks
• CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
• NeurIPS 2026Approximation in Contrastive Representation Learning
• ICML 2026Amortized Maximum Inner Product Search with Learned Support Functions
• ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
• CVPR 2026Enhancing Visual Representation with Textual Semantics Textual Semantics-Powered Prototypes for

All Deep learning · representation learning papers

58 papers, page 1 of 2

1. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
2. CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
3. CVPR 2023ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources
4. CVPR 2023Backdoor Defense via Deconfounded Representation Learning
5. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
6. CVPR 2023CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
7. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
8. CVPR 2023Difficulty-Based Sampling for Debiased Contrastive Representation Learning
9. CVPR 2023DINER: Disorder-Invariant Implicit Neural Representation
10. CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
11. CVPR 2023Enhanced Multimodal Representation Learning With Cross-Modal KD
12. CVPR 2023ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
13. CVPR 2023EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
14. CVPR 2023Explaining Image Classifiers With Multiscale Directional Image Representation
15. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
16. CVPR 2023Graph Representation for Order-Aware Visual Transformation
17. CVPR 2023HexPlane: A Fast Representation for Dynamic Scenes
18. CVPR 2023Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
19. CVPR 2023HNeRV: A Hybrid Neural Representation for Videos
20. CVPR 2023Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
21. CVPR 2023Improving Visual Representation Learning Through Perceptual Understanding
22. CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
23. CVPR 2023Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
24. CVPR 2023Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
25. CVPR 2023Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
26. CVPR 2023Learning Partial Correlation Based Deep Visual Representation for Image Classification
27. CVPR 2023Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
28. CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
29. CVPR 2023Local Implicit Ray Function for Generalizable Radiance Field Representation
30. CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
31. CVPR 2023MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
32. CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
33. CVPR 2023Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
34. CVPR 2023Masked Wavelet Representation for Compact Neural Radiance Fields
35. CVPR 2023MetaViewer: Towards a Unified Multi-View Representation
36. CVPR 2023Mixed Autoencoder for Self-Supervised Visual Representation Learning
37. CVPR 2023Movies2Scenes: Using Movie Metadata To Learn Scene Representation
38. CVPR 2023Multi-View Stereo Representation Revist: Region-Aware MVSNet
39. CVPR 2023NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction
40. CVPR 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision
41. CVPR 2023Neural Vector Fields: Implicit Representation by Explicit Learning
42. CVPR 2023Open-Set Representation Learning Through Combinatorial Embedding
43. CVPR 2023PanelNet: Understanding 360 Indoor Environment via Panel Representation
44. CVPR 2023PointVector: A Vector Representation in Point Cloud Analysis
45. CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
46. CVPR 2023Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
47. CVPR 2023Regularize Implicit Neural Representation by Itself
48. CVPR 2023Representation Learning for Visual Object Tracking by Masked Appearance Transfer
49. CVPR 2023Self-Supervised Representation Learning for CAD
50. CVPR 2023Superclass Learning With Representation Enhancement

FAQ

How many Deep learning · representation learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

802 in total: 259 in 2023, 177 in 2024, 152 in 2025, 214 in 2026.

How many Deep learning · representation learning papers are at NeurIPS 2026?

NeurIPS 2026 has 59 Deep learning · representation learning papers, versus 54 the year before.

How many Deep learning · representation learning papers are at ICLR 2026?

ICLR 2026 has 39 Deep learning · representation learning papers, versus 37 the year before.

How many Deep learning · representation learning papers are at ICML 2026?

ICML 2026 has 74 Deep learning · representation learning papers, versus 35 the year before.

How many Deep learning · representation learning papers are at CVPR 2026?

CVPR 2026 has 42 Deep learning · representation learning papers, versus 26 the year before.

Which conference publishes the most Deep learning · representation learning papers?

NeurIPS, with 279 papers from 2023 to 2026.