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 19 of 40

901. NeurIPS 2025Coloring Learning for Heterophilic Graph Representation
902. NeurIPS 2025Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
903. NeurIPS 2025Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
904. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
905. NeurIPS 2025Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
906. NeurIPS 2025Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
907. NeurIPS 2025Contrastive Self-Supervised Learning As Neural Manifold Packing
908. NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
909. NeurIPS 2025CoUn: Empowering Machine Unlearning via Contrastive Learning
910. NeurIPS 2025Dataset Distillation for Pre-Trained Self-Supervised Vision Models
911. NeurIPS 2025Decoupled Entropy Minimization
912. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
913. NeurIPS 2025DisMo: Disentangled Motion Representations for Open-World Motion Transfer
914. NeurIPS 2025Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
915. NeurIPS 2025Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
916. NeurIPS 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
917. NeurIPS 2025E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
918. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
919. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
920. NeurIPS 2025Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
921. NeurIPS 2025Exploring Structural Degradation in Dense Representations for Self-supervised Learning
922. NeurIPS 2025FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
923. NeurIPS 2025FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
924. NeurIPS 2025Flux4D: Flow-based Unsupervised 4D Reconstruction
925. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
926. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
927. NeurIPS 2025From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
928. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
929. NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
930. NeurIPS 2025GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
931. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
932. NeurIPS 2025Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
933. NeurIPS 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
934. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
935. NeurIPS 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
936. NeurIPS 2025How to build a consistency model: Learning flow maps via self-distillation
937. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
938. NeurIPS 2025InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
939. NeurIPS 2025Is Limited Participant Diversity Impeding EEG-based Machine Learning?
940. NeurIPS 2025Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
941. NeurIPS 2025Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
942. NeurIPS 2025Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
943. NeurIPS 2025KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
944. NeurIPS 2025Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
945. NeurIPS 2025Language Models can Self-Improve at State-Value Estimation for Better Search
946. NeurIPS 2025Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
947. NeurIPS 2025Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
948. NeurIPS 2025Let LRMs Break Free from Overthinking via Self-Braking Tuning
949. NeurIPS 2025LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
950. NeurIPS 2025LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision

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.