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

43 papers, page 1 of 1

1. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
2. CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
3. CVPR 2024Clustering for Protein Representation Learning
4. CVPR 2024Compact 3D Gaussian Representation for Radiance Field
5. CVPR 2024Continuous Pose for Monocular Cameras in Neural Implicit Representation
6. CVPR 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
7. CVPR 2024DaReNeRF: Direction-aware Representation for Dynamic Scenes
8. CVPR 2024Disentangled Prompt Representation for Domain Generalization
9. CVPR 2024Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
10. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
11. CVPR 2024Free3D: Consistent Novel View Synthesis without 3D Representation
12. CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
13. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
14. CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
15. CVPR 2024Latent Modulated Function for Computational Optimal Continuous Image Representation
16. CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
17. CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
18. CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
19. CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
20. CVPR 2024MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
21. CVPR 2024MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
22. CVPR 2024Mean-Shift Feature Transformer
23. CVPR 2024MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
24. CVPR 2024Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
25. CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
26. CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
27. CVPR 2024Neural Clustering based Visual Representation Learning
28. CVPR 2024Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
29. CVPR 2024Neural Underwater Scene Representation
30. CVPR 2024PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
31. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
32. CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
33. CVPR 2024Rethinking Multi-view Representation Learning via Distilled Disentangling
34. CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
35. CVPR 2024Rotation-Agnostic Image Representation Learning for Digital Pathology
36. CVPR 2024Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
37. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
38. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
39. CVPR 2024SODA: Bottleneck Diffusion Models for Representation Learning
40. CVPR 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
41. CVPR 2024TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
42. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
43. CVPR 2024Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

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.