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

110 papers, page 2 of 3

51. NeurIPS 2024Masked Pre-training Enables Universal Zero-shot Denoiser
52. NeurIPS 2024Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
53. NeurIPS 2024Memorize What Matters: Emergent Scene Decomposition from Multitraverse
54. NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
55. NeurIPS 2024MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
56. NeurIPS 2024Moving Off-the-Grid: Scene-Grounded Video Representations
57. NeurIPS 2024Multi-Scale Representation Learning for Protein Fitness Prediction
58. NeurIPS 2024Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis
59. NeurIPS 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
60. NeurIPS 2024No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
61. NeurIPS 2024On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
62. NeurIPS 2024Open-Vocabulary Object Detection via Language Hierarchy
63. NeurIPS 2024OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
64. NeurIPS 2024PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
65. NeurIPS 2024Persistence Homology Distillation for Semi-supervised Continual Learning
66. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
67. NeurIPS 2024Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
68. NeurIPS 2024Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
69. NeurIPS 2024QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
70. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
71. NeurIPS 2024Reciprocal Learning
72. NeurIPS 2024Reinforcement Learning Guided Semi-Supervised Learning
73. NeurIPS 2024Resource-Aware Federated Self-Supervised Learning with Global Class Representations
74. NeurIPS 2024Return of Unconditional Generation: A Self-supervised Representation Generation Method
75. NeurIPS 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
76. NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
77. NeurIPS 2024Scalable Early Childhood Reading Performance Prediction
78. NeurIPS 2024Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
79. NeurIPS 2024SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
80. NeurIPS 2024Self-Calibrating Conformal Prediction
81. NeurIPS 2024Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
82. NeurIPS 2024Self-Distilled Depth Refinement with Noisy Poisson Fusion
83. NeurIPS 2024Self-Guided Masked Autoencoder
84. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
85. NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
86. NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
87. NeurIPS 2024Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation
88. NeurIPS 2024Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
89. NeurIPS 2024Self-supervised Transformation Learning for Equivariant Representations
90. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
91. NeurIPS 2024SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
92. NeurIPS 2024SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
93. NeurIPS 2024SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
94. NeurIPS 2024SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
95. NeurIPS 2024Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
96. NeurIPS 2024Supervised Kernel Thinning
97. NeurIPS 2024TAIA: Large Language Models are Out-of-Distribution Data Learners
98. NeurIPS 2024The Benefits of Balance: From Information Projections to Variance Reduction
99. NeurIPS 2024Theoretical Analysis of Weak-to-Strong Generalization
100. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution

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.