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

1,956 papers, page 14 of 40

651. ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
652. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
653. ICLR 2025DEEM: Diffusion models serve as the eyes of large language models for image perception
654. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
655. ICLR 2025Difference-of-submodular Bregman Divergence
656. ICLR 2025Discovering Group Structures via Unitary Representation Learning
657. ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
658. ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
659. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
660. ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
661. ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
662. ICLR 2025Dreamweaver: Learning Compositional World Models from Pixels
663. ICLR 2025DRL: Decomposed Representation Learning for Tabular Anomaly Detection
664. ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
665. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
666. ICLR 2025Elliptic Loss Regularization
667. ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
668. ICLR 2025Equivariant Masked Position Prediction for Efficient Molecular Representation
669. ICLR 2025Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
670. ICLR 2025Exploring a Principled Framework for Deep Subspace Clustering
671. ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
672. ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
673. ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
674. ICLR 2025Formation of Representations in Neural Networks
675. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
676. ICLR 2025Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
677. ICLR 2025From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
678. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
679. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
680. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
681. ICLR 2025Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
682. ICLR 2025GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
683. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
684. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
685. ICLR 2025I-Con: A Unifying Framework for Representation Learning
686. ICLR 2025Identification of Intermittent Temporal Latent Process
687. ICLR 2025Improving Deep Regression with Tightness
688. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
689. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
690. ICLR 2025Instance-dependent Early Stopping
691. ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
692. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
693. ICLR 2025Isometric Regularization for Manifolds of Functional Data
694. ICLR 2025JPEG Inspired Deep Learning
695. ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
696. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
697. ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
698. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
699. ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
700. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport

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.