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

455 papers, page 8 of 10

351. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
352. NeurIPS 2023Exponentially Convergent Algorithms for Supervised Matrix Factorization
353. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
354. NeurIPS 2023Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
355. NeurIPS 2023Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
356. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
357. NeurIPS 2023FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
358. NeurIPS 2023FLSL: Feature-level Self-supervised Learning
359. NeurIPS 2023Fragment-based Pretraining and Finetuning on Molecular Graphs
360. NeurIPS 2023GALOPA: Graph Transport Learning with Optimal Plan Alignment
361. NeurIPS 2023Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
362. NeurIPS 2023Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
363. NeurIPS 2023Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On
364. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
365. NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
366. NeurIPS 2023Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
367. NeurIPS 2023How to Scale Your EMA
368. NeurIPS 2023Identifiable Contrastive Learning with Automatic Feature Importance Discovery
369. NeurIPS 2023Implicit Contrastive Representation Learning with Guided Stop-gradient
370. NeurIPS 2023Implicit variance regularization in non-contrastive SSL
371. NeurIPS 2023Improving Self-supervised Molecular Representation Learning using Persistent Homology
372. NeurIPS 2023Incentivized Communication for Federated Bandits
373. NeurIPS 2023InstanT: Semi-supervised Learning with Instance-dependent Thresholds
374. NeurIPS 2023Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
375. NeurIPS 2023Koopman Kernel Regression
376. NeurIPS 2023Label-efficient Segmentation via Affinity Propagation
377. NeurIPS 2023Language-based Action Concept Spaces Improve Video Self-Supervised Learning
378. NeurIPS 2023Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
379. NeurIPS 2023Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
380. NeurIPS 2023Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
381. NeurIPS 2023Learning From Biased Soft Labels
382. NeurIPS 2023Learning Interpretable Low-dimensional Representation via Physical Symmetry
383. NeurIPS 2023Learning with Explanation Constraints
384. NeurIPS 2023Low-shot Object Learning with Mutual Exclusivity Bias
385. NeurIPS 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
386. NeurIPS 2023MARBLE: Music Audio Representation Benchmark for Universal Evaluation
387. NeurIPS 2023Masked Image Residual Learning for Scaling Deeper Vision Transformers
388. NeurIPS 2023MAViL: Masked Audio-Video Learners
389. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
390. NeurIPS 2023Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
391. NeurIPS 2023Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
392. NeurIPS 2023Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
393. NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
394. NeurIPS 2023Neural Algorithmic Reasoning Without Intermediate Supervision
395. NeurIPS 2023Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
396. NeurIPS 2023No Representation Rules Them All in Category Discovery
397. NeurIPS 2023Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
398. NeurIPS 2023On Separate Normalization in Self-supervised Transformers
399. NeurIPS 2023On the Sublinear Regret of GP-UCB
400. NeurIPS 2023On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training

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.