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

497 papers, page 10 of 10

451. NeurIPS 2025Self-Improving Embodied Foundation Models
452. NeurIPS 2025Self-Refining Language Model Anonymizers via Adversarial Distillation
453. NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
454. NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
455. NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
456. NeurIPS 2025Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
457. NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
458. NeurIPS 2025Self-Supervised Learning of Graph Representations for Network Intrusion Detection
459. NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
460. NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
461. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
462. NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
463. NeurIPS 2025seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
464. NeurIPS 2025SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
465. NeurIPS 2025ShapeEmbed: a self-supervised learning framework for 2D contour quantification
466. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
467. NeurIPS 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning
468. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
469. NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
470. NeurIPS 2025Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
471. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
472. NeurIPS 2025T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
473. NeurIPS 2025TabDPT: Scaling Tabular Foundation Models on Real Data
474. NeurIPS 2025Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
475. NeurIPS 2025THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
476. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
477. NeurIPS 2025TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
478. NeurIPS 2025Token Bottleneck: One Token to Remember Dynamics
479. NeurIPS 2025Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
480. NeurIPS 2025Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
481. NeurIPS 2025Towards Self-Refinement of Vision-Language Models with Triangular Consistency
482. NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
483. NeurIPS 2025TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
484. NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
485. NeurIPS 2025UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
486. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
487. NeurIPS 2025Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
488. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
489. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
490. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
491. NeurIPS 2025UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
492. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
493. NeurIPS 2025Variational Supervised Contrastive Learning
494. NeurIPS 2025What are you sinking? A geometric approach on attention sink
495. NeurIPS 2025Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
496. NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
497. NeurIPS 2025ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding

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.