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

108 papers, page 2 of 3

51. ICLR 2023MocoSFL: enabling cross-client collaborative self-supervised learning
52. ICLR 2023Mosaic Representation Learning for Self-supervised Visual Pre-training
53. ICLR 2023Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
54. ICLR 2023Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
55. ICLR 2023NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
56. ICLR 2023No Reason for No Supervision: Improved Generalization in Supervised Models
57. ICLR 2023On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
58. ICLR 2023On the duality between contrastive and non-contrastive self-supervised learning
59. ICLR 2023On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
60. ICLR 2023Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
61. ICLR 2023Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
62. ICLR 2023Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
63. ICLR 2023Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
64. ICLR 2023Protein Representation Learning by Geometric Structure Pretraining
65. ICLR 2023Pseudo-label Training and Model Inertia in Neural Machine Translation
66. ICLR 2023Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
67. ICLR 2023Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
68. ICLR 2023Robust Active Distillation
69. ICLR 2023RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
70. ICLR 2023Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
71. ICLR 2023Scaling Forward Gradient With Local Losses
72. ICLR 2023Self-Consistency Improves Chain of Thought Reasoning in Language Models
73. ICLR 2023Self-Distillation for Further Pre-training of Transformers
74. ICLR 2023Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
75. ICLR 2023Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
76. ICLR 2023Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
77. ICLR 2023Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
78. ICLR 2023Self-supervised learning with rotation-invariant kernels
79. ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
80. ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
81. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
82. ICLR 2023Semi-supervised learning with a principled likelihood from a generative model of data curation
83. ICLR 2023SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
84. ICLR 2023SimPer: Simple Self-Supervised Learning of Periodic Targets
85. ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
86. ICLR 2023SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
87. ICLR 2023Spectral Augmentation for Self-Supervised Learning on Graphs
88. ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
89. ICLR 2023Temperature Schedules for self-supervised contrastive methods on long-tail data
90. ICLR 2023The hidden uniform cluster prior in self-supervised learning
91. ICLR 2023The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
92. ICLR 2023Time to augment self-supervised visual representation learning
93. ICLR 2023Towards Better Selective Classification
94. ICLR 2023Towards the Generalization of Contrastive Self-Supervised Learning
95. ICLR 2023Transformer-based model for symbolic regression via joint supervised learning
96. ICLR 2023Transformers Learn Shortcuts to Automata
97. ICLR 2023Truthful Self-Play
98. ICLR 2023Unbiased Supervised Contrastive Learning
99. ICLR 2023Understanding The Robustness of Self-supervised Learning Through Topic Modeling
100. ICLR 2023Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning

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.