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 10 of 17
- ICML 2024Causal Representation Learning from Multiple Distributions: A General Setting
- ICML 2024Causal Representation Learning Made Identifiable by Grouping of Observational Variables
- ICML 2024Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
- ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
- ICML 2024Deep Regression Representation Learning with Topology
- ICML 2024Denoising Autoregressive Representation Learning
- ICML 2024Differentiable Mapper for Topological Optimization of Data Representation
- ICML 2024Differentially Private Representation Learning via Image Captioning
- ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
- ICML 2024Evolution-Inspired Loss Functions for Protein Representation Learning
- ICML 2024Feasibility Consistent Representation Learning for Safe Reinforcement Learning
- ICML 2024Federated Representation Learning in the Under-Parameterized Regime
- ICML 2024Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
- ICML 2024Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
- ICML 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
- ICML 2024Graph2Tac: Online Representation Learning of Formal Math Concepts
- ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
- ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
- ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
- ICML 2024Learning Graph Representation via Graph Entropy Maximization
- ICML 2024Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
- ICML 2024Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
- ICML 2024LLM-Empowered State Representation for Reinforcement Learning
- ICML 2024Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
- ICML 2024Polynomial-based Self-Attention for Table Representation Learning
- ICML 2024Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
- ICML 2024Position: The Platonic Representation Hypothesis
- ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
- ICML 2024Recurrent Distance Filtering for Graph Representation Learning
- ICML 2024Rejuvenating image-GPT as Strong Visual Representation Learners
- ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
- ICML 2024Robustness of Nonlinear Representation Learning
- ICML 2024SCoRe: Submodular Combinatorial Representation Learning
- ICML 2024Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
- ICML 2024TSLANet: Rethinking Transformers for Time Series Representation Learning
- ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
- ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
- ICML 2024Visual Representation Learning with Stochastic Frame Prediction
- ICML 2024When Representations Align: Universality in Representation Learning Dynamics
- NeurIPS 2024Aligning Large Language Models with Representation Editing: A Control Perspective
- NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
- NeurIPS 2024Can Transformers Smell Like Humans?
- NeurIPS 2024Causal Temporal Representation Learning with Nonstationary Sparse Transition
- NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
- NeurIPS 2024Conformalized Credal Set Predictors
- NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
- NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
- NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
- NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
- NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured 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