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

26 papers, page 1 of 1

1. CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
2. CVPR 2025Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding
3. CVPR 2025CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
4. CVPR 2025CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
5. CVPR 2025FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video
6. CVPR 2025HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars
7. CVPR 2025Heterogeneous Skeleton-Based Action Representation Learning
8. CVPR 2025HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation
9. CVPR 2025Improve Representation for Imbalanced Regression through Geometric Constraints
10. CVPR 2025Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
11. CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
12. CVPR 2025MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
13. CVPR 2025MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
14. CVPR 2025NN-Former: Rethinking Graph Structure in Neural Architecture Representation
15. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
16. CVPR 2025Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction
17. CVPR 2025PolarNeXt: Rethink Instance Segmentation with Polar Representation
18. CVPR 2025SEAL: Semantic Attention Learning for Long Video Representation
19. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
20. CVPR 2025Spectral State Space Model for Rotation-Invariant Visual Representation Learning
21. CVPR 2025STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds
22. CVPR 2025STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
23. CVPR 2025Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
24. CVPR 2025Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning
25. CVPR 2025VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning
26. CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning

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.