Deep learning · representation learning papers, 2023–2026

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.

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

177 papers, page 2 of 4

51. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
52. ICLR 2024Evaluating Representation Learning on the Protein Structure Universe
53. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
54. ICLR 2024Feature Collapse
55. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
56. ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
57. ICLR 2024Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
58. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
59. ICLR 2024Learning Implicit Representation for Reconstructing Articulated Objects
60. ICLR 2024Let Models Speak Ciphers: Multiagent Debate through Embeddings
61. ICLR 2024MAP IT to Visualize Representations
62. ICLR 2024Modelling complex vector drawings with stroke-clouds
63. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
64. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
65. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
66. ICLR 2024Predictive auxiliary objectives in deep RL mimic learning in the brain
67. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
68. ICLR 2024Proper Laplacian Representation Learning
69. ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
70. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
71. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
72. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
73. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
74. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
75. ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
76. ICLR 2024State Representation Learning Using an Unbalanced Atlas
77. ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
78. ICLR 2024Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
79. ICLR 2024T-Rep: Representation Learning for Time Series using Time-Embeddings
80. ICLR 2024Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
81. ICLR 2024Towards Principled Representation Learning from Videos for Reinforcement Learning
82. ICML 2024A Distributional Analogue to the Successor Representation
83. ICML 2024A Sparsity Principle for Partially Observable Causal Representation Learning
84. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
85. ICML 2024Causal Representation Learning from Multiple Distributions: A General Setting
86. ICML 2024Causal Representation Learning Made Identifiable by Grouping of Observational Variables
87. ICML 2024Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
88. ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
89. ICML 2024Deep Regression Representation Learning with Topology
90. ICML 2024Denoising Autoregressive Representation Learning
91. ICML 2024Differentiable Mapper for Topological Optimization of Data Representation
92. ICML 2024Differentially Private Representation Learning via Image Captioning
93. ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
94. ICML 2024Evolution-Inspired Loss Functions for Protein Representation Learning
95. ICML 2024Feasibility Consistent Representation Learning for Safe Reinforcement Learning
96. ICML 2024Federated Representation Learning in the Under-Parameterized Regime
97. ICML 2024Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
98. ICML 2024Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
99. ICML 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
100. ICML 2024Graph2Tac: Online Representation Learning of Formal Math Concepts

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.