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
279 papers, page 6 of 6
- NeurIPS 2023Representation Learning via Consistent Assignment of Views over Random Partitions
- NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
- NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
- NeurIPS 2023Reverse Engineering Self-Supervised Learning
- NeurIPS 2023RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
- NeurIPS 2023Robust Concept Erasure via Kernelized Rate-Distortion Maximization
- NeurIPS 2023Rotating Features for Object Discovery
- NeurIPS 2023SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
- NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
- NeurIPS 2023Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
- NeurIPS 2023SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization
- NeurIPS 2023Slot-guided Volumetric Object Radiance Fields
- NeurIPS 2023StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
- NeurIPS 2023State Sequences Prediction via Fourier Transform for Representation Learning
- NeurIPS 2023STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
- NeurIPS 2023Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
- NeurIPS 2023Temporally Disentangled Representation Learning under Unknown Nonstationarity
- NeurIPS 2023The Tunnel Effect: Building Data Representations in Deep Neural Networks
- NeurIPS 2023TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
- NeurIPS 2023Towards a Unified Framework of Contrastive Learning for Disentangled Representations
- NeurIPS 2023Towards In-context Scene Understanding
- NeurIPS 2023Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
- NeurIPS 2023Tree Variational Autoencoders
- NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
- NeurIPS 2023Uncovering Neural Scaling Laws in Molecular Representation Learning
- NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
- NeurIPS 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
- NeurIPS 2023VoxDet: Voxel Learning for Novel Instance Detection
- NeurIPS 2023White-Box Transformers via Sparse Rate Reduction
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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