Deep learning · representation learning papers, 2023–2026
Deep learning area: representation_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 802 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 112 | 58 | 31 | 58 | 259 |
| 2024 | 54 | 38 | 42 | 43 | 177 |
| 2025 | 54 | 37 | 35 | 26 | 152 |
| 2026 | 59 | 39 | 74 | 42 | 214 |
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
42 papers, page 1 of 1
- CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements
- CVPR 2026CanonCGT Reference-Based Color Grading via Canonical Pivot Representation
- CVPR 2026CARLoS Retrieval via Concise Assessment Representation of LoRAs at Scale
- CVPR 2026Coordinate Denoising for Non-Equilibrium Molecular Representation Learning
- CVPR 2026Cross-Hand Latent Representation for Vision-Language-Action Models
- CVPR 2026D2Dewarp Dual Dimensions Geometric Representation Learning Based Document Image Dewarping
- CVPR 2026DiverseDiT Towards Diverse Representation Learning in Diffusion Transformers
- CVPR 2026Diversity over Uniformity Rethinking Representation in Generated Image Detection
- CVPR 2026DynamicGTR Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities
- CVPR 2026Enhancing Visual Representation with Textual Semantics Textual Semantics-Powered Prototypes for
- CVPR 2026Faithful Contouring Near-Lossless 3D Voxel Representation Free from Iso-surface
- CVPR 2026FedRE A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
- CVPR 2026FedRG Unleashing the Representation Geometry for Federated Learning with Noisy
- CVPR 2026Focus-to-Perceive Representation Learning A Cognition-Inspired Hierarchical Framework for Endoscopic Video
- CVPR 2026Franca Nested Matryoshka Clustering for Scalable Visual Representation Learning
- CVPR 2026GeoSemba Reconstructing State Space Model for Cross Paradigm Representation in
- CVPR 2026GSNR Graph Smooth Null-Space Representation for Inverse Problems
- CVPR 2026Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation
- CVPR 2026H2-Surv Hierarchical Hyperbolic Multimodal Representation Learning for Survival Prediction
- CVPR 2026Hilbert Curve-Based Attention Enabling Topology-Preserving Image Tensor Representation for Semantic
- CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork
- CVPR 2026Is the Modality Gap a Bug or a Feature A
- CVPR 2026Layered 4D-Rotor Gaussian Splatting A Compressed Representation for Long Dynamic
- CVPR 2026LRHDR Learning Representation-enhanced HDR Video Reconstruction
- CVPR 2026MeanFlow Transformers with Representation Autoencoders
- CVPR 2026MOON2.0 Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding
- CVPR 2026POUR A Provably Optimal Method for Unlearning Representation via Neural
- CVPR 2026Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language
- CVPR 2026ReMoRa Multimodal Large Language Model based on Refined Motion Representation
- CVPR 2026Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
- CVPR 2026Residual Connections Harm Generative Representation Learning
- CVPR 2026Rethinking Intermediate Representation for VLM-based Robot Manipulation
- CVPR 2026SARMAE Masked Autoencoder for SAR Representation Learning
- CVPR 2026Self-Attention Driven Tensor Representation for High-Order Data Recovery
- CVPR 2026STUR3D Spatio-Temporal Unified Representation Learning for 3D Object Detection
- CVPR 2026Temporal Representation Enhancement TRE Learning to Forget Dominant Patterns for
- CVPR 2026Time Without Time Pseudo-Temporal Representation for Space-Time Super-Resolution
- CVPR 2026TokenHand Discrete Token Representation for Efficient Hand Mesh Reconstruction
- CVPR 2026UniLight A Unified Representation for Lighting
- CVPR 2026VectorArk Learning Practical Image Vectorization with Rounded Polygon Representation
- CVPR 2026VIRD View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
- CVPR 2026When Local Rules Create Global Order Self-Organized Representation Learning for
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197