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
802 papers, page 12 of 17
- CVPR 2023Difficulty-Based Sampling for Debiased Contrastive Representation Learning
- CVPR 2023DINER: Disorder-Invariant Implicit Neural Representation
- CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
- CVPR 2023Enhanced Multimodal Representation Learning With Cross-Modal KD
- CVPR 2023ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
- CVPR 2023EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
- CVPR 2023Explaining Image Classifiers With Multiscale Directional Image Representation
- CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
- CVPR 2023Graph Representation for Order-Aware Visual Transformation
- CVPR 2023HexPlane: A Fast Representation for Dynamic Scenes
- CVPR 2023Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
- CVPR 2023HNeRV: A Hybrid Neural Representation for Videos
- CVPR 2023Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
- CVPR 2023Improving Visual Representation Learning Through Perceptual Understanding
- CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
- CVPR 2023Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
- CVPR 2023Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
- CVPR 2023Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
- CVPR 2023Learning Partial Correlation Based Deep Visual Representation for Image Classification
- CVPR 2023Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
- CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
- CVPR 2023Local Implicit Ray Function for Generalizable Radiance Field Representation
- CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
- CVPR 2023MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
- CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
- CVPR 2023Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
- CVPR 2023Masked Wavelet Representation for Compact Neural Radiance Fields
- CVPR 2023MetaViewer: Towards a Unified Multi-View Representation
- CVPR 2023Mixed Autoencoder for Self-Supervised Visual Representation Learning
- CVPR 2023Movies2Scenes: Using Movie Metadata To Learn Scene Representation
- CVPR 2023Multi-View Stereo Representation Revist: Region-Aware MVSNet
- CVPR 2023NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction
- CVPR 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision
- CVPR 2023Neural Vector Fields: Implicit Representation by Explicit Learning
- CVPR 2023Open-Set Representation Learning Through Combinatorial Embedding
- CVPR 2023PanelNet: Understanding 360 Indoor Environment via Panel Representation
- CVPR 2023PointVector: A Vector Representation in Point Cloud Analysis
- CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
- CVPR 2023Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
- CVPR 2023Regularize Implicit Neural Representation by Itself
- CVPR 2023Representation Learning for Visual Object Tracking by Masked Appearance Transfer
- CVPR 2023Self-Supervised Representation Learning for CAD
- CVPR 2023Superclass Learning With Representation Enhancement
- CVPR 2023SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
- CVPR 2023Switchable Representation Learning Framework With Self-Compatibility
- CVPR 2023Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
- CVPR 2023The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
- CVPR 2023Towards Scalable Neural Representation for Diverse Videos
- CVPR 2023Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos
- CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
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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