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

693 papers, page 11 of 14

501. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
502. ICLR 2024On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
503. ICLR 2024One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
504. ICLR 2024Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
505. ICLR 2024Out-of-Distribution Detection with Negative Prompts
506. ICLR 2024Out-Of-Domain Unlabeled Data Improves Generalization
507. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
508. ICLR 2024P2Seg: Pointly-supervised Segmentation via Mutual Distillation
509. ICLR 2024Parametric Augmentation for Time Series Contrastive Learning
510. ICLR 2024Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
511. ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping
512. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
513. ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
514. ICLR 2024Poly-View Contrastive Learning
515. ICLR 2024PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
516. ICLR 2024Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
517. ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
518. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
519. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
520. ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
521. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
522. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
523. ICLR 2024Real-Fake: Effective Training Data Synthesis Through Distribution Matching
524. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
525. ICLR 2024REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
526. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
527. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
528. ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
529. ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
530. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
531. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
532. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
533. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
534. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
535. ICLR 2024SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
536. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
537. ICLR 2024Scalable Monotonic Neural Networks
538. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
539. ICLR 2024Self-Alignment with Instruction Backtranslation
540. ICLR 2024Self-Consuming Generative Models Go MAD
541. ICLR 2024Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
542. ICLR 2024Self-Supervised Contrastive Learning for Long-term Forecasting
543. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
544. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
545. ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
546. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
547. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
548. ICLR 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
549. ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
550. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning

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.