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 10 of 11

451. NeurIPS 2023Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
452. NeurIPS 2023Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
453. NeurIPS 2023Learning From Biased Soft Labels
454. NeurIPS 2023Learning Interpretable Low-dimensional Representation via Physical Symmetry
455. NeurIPS 2023Learning with Explanation Constraints
456. NeurIPS 2023Low-shot Object Learning with Mutual Exclusivity Bias
457. NeurIPS 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
458. NeurIPS 2023MARBLE: Music Audio Representation Benchmark for Universal Evaluation
459. NeurIPS 2023Masked Image Residual Learning for Scaling Deeper Vision Transformers
460. NeurIPS 2023MAViL: Masked Audio-Video Learners
461. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
462. NeurIPS 2023Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
463. NeurIPS 2023Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
464. NeurIPS 2023Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
465. NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
466. NeurIPS 2023Neural Algorithmic Reasoning Without Intermediate Supervision
467. NeurIPS 2023Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
468. NeurIPS 2023No Representation Rules Them All in Category Discovery
469. NeurIPS 2023Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
470. NeurIPS 2023On Separate Normalization in Self-supervised Transformers
471. NeurIPS 2023On the Sublinear Regret of GP-UCB
472. NeurIPS 2023On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
473. NeurIPS 2023Online PCA in Converging Self-consistent Field Equations
474. NeurIPS 2023OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
475. NeurIPS 2023Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
476. NeurIPS 2023PointGPT: Auto-regressively Generative Pre-training from Point Clouds
477. NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
478. NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
479. NeurIPS 2023Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
480. NeurIPS 2023PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
481. NeurIPS 2023PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
482. NeurIPS 2023Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
483. NeurIPS 2023Representation Learning via Consistent Assignment of Views over Random Partitions
484. NeurIPS 2023Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
485. NeurIPS 2023Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
486. NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
487. NeurIPS 2023Reverse Engineering Self-Supervised Learning
488. NeurIPS 2023Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
489. NeurIPS 2023Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
490. NeurIPS 2023Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors
491. NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
492. NeurIPS 2023Self-Correcting Bayesian Optimization through Bayesian Active Learning
493. NeurIPS 2023Self-Refine: Iterative Refinement with Self-Feedback
494. NeurIPS 2023Self-supervised Graph Neural Networks via Low-Rank Decomposition
495. NeurIPS 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
496. NeurIPS 2023Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
497. NeurIPS 2023Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
498. NeurIPS 2023Self-supervised Object-Centric Learning for Videos
499. NeurIPS 2023Self-Supervised Reinforcement Learning that Transfers using Random Features
500. NeurIPS 2023Self-supervised video pretraining yields robust and more human-aligned visual representations

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.