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

54 papers, page 1 of 2

1. NeurIPS 2024Aligning Large Language Models with Representation Editing: A Control Perspective
2. NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
3. NeurIPS 2024Can Transformers Smell Like Humans?
4. NeurIPS 2024Causal Temporal Representation Learning with Nonstationary Sparse Transition
5. NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
6. NeurIPS 2024Conformalized Credal Set Predictors
7. NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
8. NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
9. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
10. NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
11. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
12. NeurIPS 2024DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
13. NeurIPS 2024DMesh: A Differentiable Mesh Representation
14. NeurIPS 2024Elliptical Attention
15. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
16. NeurIPS 2024Federated Model Heterogeneous Matryoshka Representation Learning
17. NeurIPS 2024Foundations of Multivariate Distributional Reinforcement Learning
18. NeurIPS 2024G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
19. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
20. NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
21. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
22. NeurIPS 2024HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
23. NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
24. NeurIPS 2024Improving Gloss-free Sign Language Translation by Reducing Representation Density
25. NeurIPS 2024Latent Functional Maps: a spectral framework for representation alignment
26. NeurIPS 2024Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
27. NeurIPS 2024Learning diverse causally emergent representations from time series data
28. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
29. NeurIPS 2024Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
30. NeurIPS 2024Learning Structured Representations with Hyperbolic Embeddings
31. NeurIPS 2024Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
32. NeurIPS 2024LinNet: Linear Network for Efficient Point Cloud Representation Learning
33. NeurIPS 2024MatrixNet: Learning over symmetry groups using learned group representations
34. NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
35. NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
36. NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
37. NeurIPS 2024NVRC: Neural Video Representation Compression
38. NeurIPS 2024Offline Multitask Representation Learning for Reinforcement Learning
39. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
40. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
41. NeurIPS 2024Representation Noising: A Defence Mechanism Against Harmful Finetuning
42. NeurIPS 2024Road Network Representation Learning with the Third Law of Geography
43. NeurIPS 2024Self-Guided Masked Autoencoder
44. NeurIPS 2024State Chrono Representation for Enhancing Generalization in Reinforcement Learning
45. NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
46. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
47. NeurIPS 2024Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
48. NeurIPS 2024Transformers on Markov data: Constant depth suffices
49. NeurIPS 2024Transformers Represent Belief State Geometry in their Residual Stream
50. NeurIPS 2024Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective

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.