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

527 papers, page 2 of 11

51. NeurIPS 2026Learning to Follow In-Context Watermark Instructions via Self-Distillation
52. NeurIPS 2026Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
53. NeurIPS 2026Less Structure is More: Minimal Representations for Supervised Learning
54. NeurIPS 2026Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
55. NeurIPS 2026Looped Transformers with Layer Normalization Provably Learn the Power Method
56. NeurIPS 2026LoRAcles: Self-Supervised Weight-Space Interpretability at Scale
57. NeurIPS 2026Managing Self-Learning Experts under Per-Round Budget Constraints
58. NeurIPS 2026Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition
59. NeurIPS 2026Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning
60. NeurIPS 2026Meta$^n$: Recursive Self-Improvement through Emergent Depth
61. NeurIPS 2026MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
62. NeurIPS 2026Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning
63. NeurIPS 2026Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
64. NeurIPS 2026Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation
65. NeurIPS 2026Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series
66. NeurIPS 2026PriFT: Prior-Support Guided Token Reweighting for Supervised Fine-Tuning
67. NeurIPS 2026PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization
68. NeurIPS 2026Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
69. NeurIPS 2026Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
70. NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
71. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
72. NeurIPS 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
73. NeurIPS 2026Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
74. NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
75. NeurIPS 2026Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning
76. NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
77. NeurIPS 2026SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks
78. NeurIPS 2026Self-Calibrated GUI Reward Model via Inverse Dynamic Modeling
79. NeurIPS 2026Self-Compacting Language Model Agents
80. NeurIPS 2026Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning
81. NeurIPS 2026Self-Distilled RLVR
82. NeurIPS 2026Self-Programmed Execution for Language-Model Agents
83. NeurIPS 2026Self-Supervised Doppler-Guided RF Odometry
84. NeurIPS 2026Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
85. NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
86. NeurIPS 2026Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
87. NeurIPS 2026Self-Tuning Graph Filters via State-Dependent Operator Composition
88. NeurIPS 2026SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
89. NeurIPS 2026SetAD: Semi-Supervised Anomaly Learning in Contextual Sets
90. NeurIPS 2026SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion
91. NeurIPS 2026SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
92. NeurIPS 2026Sparsely Supervised Diffusion
93. NeurIPS 2026Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
94. NeurIPS 2026Speculative Self-Distillation enables Efficient Knowledge Internalization
95. NeurIPS 2026SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
96. NeurIPS 2026SPIRIT: Speed-Driven Online Adaptation for Self-Speculative Decoding
97. NeurIPS 2026SS3D: End2End Self-Supervised 3D from Web Videos
98. NeurIPS 2026Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
99. NeurIPS 2026StarWM: Self-Supervised Trained Attention Routing for Robust World Models
100. NeurIPS 2026The Locality Cost of Semantic Patch Self-Distillation

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.