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 8 of 17
- NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
- NeurIPS 2025Scaling Language-centric Omnimodal Representation Learning
- NeurIPS 2025Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
- NeurIPS 2025Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
- NeurIPS 2025The Indra Representation Hypothesis
- NeurIPS 2025Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning
- NeurIPS 2025Token Bottleneck: One Token to Remember Dynamics
- NeurIPS 2025TopER: Topological Embeddings in Graph Representation Learning
- NeurIPS 2025Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
- NeurIPS 2025Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
- NeurIPS 2025Tracing the Representation Geometry of Language Models from Pretraining to Post-training
- NeurIPS 2025U-REPA: Aligning Diffusion U-Nets to ViTs
- NeurIPS 2025VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
- NeurIPS 2025VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models
- NeurIPS 2025When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
- NeurIPS 2025X-Field: A Physically Informed Representation for 3D X-ray Reconstruction
- CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
- CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
- CVPR 2024Clustering for Protein Representation Learning
- CVPR 2024Compact 3D Gaussian Representation for Radiance Field
- CVPR 2024Continuous Pose for Monocular Cameras in Neural Implicit Representation
- CVPR 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
- CVPR 2024DaReNeRF: Direction-aware Representation for Dynamic Scenes
- CVPR 2024Disentangled Prompt Representation for Domain Generalization
- CVPR 2024Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
- CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
- CVPR 2024Free3D: Consistent Novel View Synthesis without 3D Representation
- CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
- CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
- CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
- CVPR 2024Latent Modulated Function for Computational Optimal Continuous Image Representation
- CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
- CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
- CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
- CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
- CVPR 2024MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
- CVPR 2024MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
- CVPR 2024Mean-Shift Feature Transformer
- CVPR 2024MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
- CVPR 2024Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
- CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
- CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
- CVPR 2024Neural Clustering based Visual Representation Learning
- CVPR 2024Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
- CVPR 2024Neural Underwater Scene Representation
- CVPR 2024PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
- CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
- CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
- CVPR 2024Rethinking Multi-view Representation Learning via Distilled Disentangling
- CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
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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