Deep learning · self supervised learning papers, 2023–2026

Key findings

• Deep learning · self supervised learning went from 455 papers in 2023 to 534 in 2026, roughly 1.2x in three years.
• ICLR publishes the most Deep learning · self supervised learning work: 693 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with General ML · unsupervised and semisupervised learning: papers tagged with both rose from 23 in 2023 to 86 in 2026.
• Among the 11 topics under Deep Learning, it ranks #4 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
• ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
• NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
• ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
• ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
• ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
• ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
• CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
• NeurIPS 2026AudioSphere: Towards Self-Supervised Spatial Audio Representation Models
• ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
• ICLR 2026Angle K-Means
• CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements

All Deep learning · self supervised learning papers

195 papers, page 2 of 4

51. ICLR 2024Finite Scalar Quantization: VQ-VAE Made Simple
52. ICLR 2024Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
53. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
54. ICLR 2024From Sparse to Soft Mixtures of Experts
55. ICLR 2024Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
56. ICLR 2024Generating Pragmatic Examples to Train Neural Program Synthesizers
57. ICLR 2024GraphPulse: Topological representations for temporal graph property prediction
58. ICLR 2024Grounded Object-Centric Learning
59. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
60. ICLR 2024How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
61. ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
62. ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
63. ICLR 2024HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
64. ICLR 2024Hypergraph Dynamic System
65. ICLR 2024iGraphMix: Input Graph Mixup Method for Node Classification
66. ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
67. ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
68. ICLR 2024Information Retention via Learning Supplemental Features
69. ICLR 2024Initializing Models with Larger Ones
70. ICLR 2024Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
71. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
72. ICLR 2024Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
73. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching
74. ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
75. ICLR 2024Language Model Self-improvement by Reinforcement Learning Contemplation
76. ICLR 2024Large-scale Training of Foundation Models for Wearable Biosignals
77. ICLR 2024Layer-wise linear mode connectivity
78. ICLR 2024LDReg: Local Dimensionality Regularized Self-Supervised Learning
79. ICLR 2024Learning 3D Particle-based Simulators from RGB-D Videos
80. ICLR 2024Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
81. ICLR 2024Learning Multi-Faceted Prototypical User Interests
82. ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
83. ICLR 2024Learning to design protein-protein interactions with enhanced generalization
84. ICLR 2024Learning to Embed Time Series Patches Independently
85. ICLR 2024LEMON: Lossless model expansion
86. ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
87. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
88. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
89. ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
90. ICLR 2024Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
91. ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
92. ICLR 2024Masked Distillation Advances Self-Supervised Transformer Architecture Search
93. ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
94. ICLR 2024Mean Field Theory in Deep Metric Learning
95. ICLR 2024Memorization in Self-Supervised Learning Improves Downstream Generalization
96. ICLR 2024MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
97. ICLR 2024Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
98. ICLR 2024Modulate Your Spectrum in Self-Supervised Learning
99. ICLR 2024MogaNet: Multi-order Gated Aggregation Network
100. ICLR 2024MOTOR: A Time-to-Event Foundation Model For Structured Medical Records

FAQ

How many Deep learning · self supervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,958 in total: 455 in 2023, 472 in 2024, 497 in 2025, 534 in 2026.

How many Deep learning · self supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 110 Deep learning · self supervised learning papers, versus 147 the year before.

How many Deep learning · self supervised learning papers are at ICLR 2026?

ICLR 2026 has 195 Deep learning · self supervised learning papers, versus 195 the year before.

How many Deep learning · self supervised learning papers are at ICML 2026?

ICML 2026 has 135 Deep learning · self supervised learning papers, versus 72 the year before.

How many Deep learning · self supervised learning papers are at CVPR 2026?

CVPR 2026 has 94 Deep learning · self supervised learning papers, versus 83 the year before.

Which conference publishes the most Deep learning · self supervised learning papers?

ICLR, with 693 papers from 2023 to 2026.