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

37 papers, page 1 of 1

1. ICLR 2025AtomSurf: Surface Representation for Learning on Protein Structures
2. ICLR 2025Bayesian Regularization of Latent Representation
3. ICLR 2025Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
4. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
5. ICLR 2025Can One Modality Model Synergize Training of Other Modality Models?
6. ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
7. ICLR 2025CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
8. ICLR 2025Discovering Group Structures via Unitary Representation Learning
9. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
10. ICLR 2025Do LLMs ``know'' internally when they follow instructions?
11. ICLR 2025Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex
12. ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
13. ICLR 2025Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
14. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
15. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
16. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
17. ICLR 2025I-Con: A Unifying Framework for Representation Learning
18. ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
19. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
20. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
21. ICLR 2025Neural Spacetimes for DAG Representation Learning
22. ICLR 2025Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
23. ICLR 2025nGPT: Normalized Transformer with Representation Learning on the Hypersphere
24. ICLR 2025NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
25. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
26. ICLR 2025Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
27. ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
28. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
29. ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
30. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
31. ICLR 2025Robustness Reprogramming for Representation Learning
32. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
33. ICLR 2025Sensor-Invariant Tactile Representation
34. ICLR 2025SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
35. ICLR 2025Towards a learning theory of representation alignment
36. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
37. ICLR 2025Wavelet-based Positional Representation for Long Context

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.