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 15 of 40

701. ICLR 2025Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
702. ICLR 2025LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
703. ICLR 2025Looped Transformers for Length Generalization
704. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
705. ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
706. ICLR 2025Memory Mosaics
707. ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
708. ICLR 2025MIND over Body: Adaptive Thinking using Dynamic Computation
709. ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
710. ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
711. ICLR 2025Mixture of In-Context Prompters for Tabular PFNs
712. ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
713. ICLR 2025Morphing Tokens Draw Strong Masked Image Models
714. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
715. ICLR 2025Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
716. ICLR 2025Near, far: Patch-ordering enhances vision foundation models' scene understanding
717. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
718. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
719. ICLR 2025Object-Centric Pretraining via Target Encoder Bootstrapping
720. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
721. ICLR 2025On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
722. ICLR 2025On the Optimal Memorization Capacity of Transformers
723. ICLR 2025Online Clustering with Nearly Optimal Consistency
724. ICLR 2025Optimal Brain Apoptosis
725. ICLR 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
726. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
727. ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
728. ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
729. ICLR 2025PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
730. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
731. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
732. ICLR 2025Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
733. ICLR 2025Preserving Diversity in Supervised Fine-Tuning of Large Language Models
734. ICLR 2025Progress or Regress? Self-Improvement Reversal in Post-training
735. ICLR 2025Progressive distillation induces an implicit curriculum
736. ICLR 2025Projection Head is Secretly an Information Bottleneck
737. ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
738. ICLR 2025Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
739. ICLR 2025Realistic Evaluation of Deep Partial-Label Learning Algorithms
740. ICLR 2025Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
741. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
742. ICLR 2025Repetition Improves Language Model Embeddings
743. ICLR 2025Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
744. ICLR 2025Rethinking Multiple-Instance Learning From Feature Space to Probability Space
745. ICLR 2025Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
746. ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
747. ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
748. ICLR 2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
749. ICLR 2025Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
750. ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure

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.