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

172 papers, page 2 of 4

51. ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
52. ICLR 2025Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
53. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
54. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
55. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
56. ICLR 2025I-Con: A Unifying Framework for Representation Learning
57. ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
58. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
59. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
60. ICLR 2025Neural Spacetimes for DAG Representation Learning
61. ICLR 2025Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
62. ICLR 2025nGPT: Normalized Transformer with Representation Learning on the Hypersphere
63. ICLR 2025NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
64. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
65. ICLR 2025Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
66. ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
67. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
68. ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
69. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
70. ICLR 2025Robustness Reprogramming for Representation Learning
71. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
72. ICLR 2025Sensor-Invariant Tactile Representation
73. ICLR 2025SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
74. ICLR 2025Towards a learning theory of representation alignment
75. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
76. ICLR 2025Wavelet-based Positional Representation for Long Context
77. ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
78. ICLR 2024A representation-learning game for classes of prediction tasks
79. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
80. ICLR 2024AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
81. ICLR 2024Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
82. ICLR 2024CODE REPRESENTATION LEARNING AT SCALE
83. ICLR 2024Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
84. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
85. ICLR 2024Evaluating Representation Learning on the Protein Structure Universe
86. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
87. ICLR 2024Feature Collapse
88. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
89. ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
90. ICLR 2024Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
91. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
92. ICLR 2024Learning Implicit Representation for Reconstructing Articulated Objects
93. ICLR 2024Let Models Speak Ciphers: Multiagent Debate through Embeddings
94. ICLR 2024MAP IT to Visualize Representations
95. ICLR 2024Modelling complex vector drawings with stroke-clouds
96. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
97. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
98. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
99. ICLR 2024Predictive auxiliary objectives in deep RL mimic learning in the brain
100. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

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.