Deep learning · self supervised learning papers, 2023–2026
Deep learning area: self_supervised_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,958 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 160 | 108 | 41 | 146 | 455 |
| 2024 | 110 | 195 | 62 | 105 | 472 |
| 2025 | 147 | 195 | 72 | 83 | 497 |
| 2026 | 110 | 195 | 135 | 94 | 534 |
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 11 of 40
- NeurIPS 2026Self-Compacting Language Model Agents
- NeurIPS 2026Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning
- NeurIPS 2026Self-Distilled RLVR
- NeurIPS 2026Self-Programmed Execution for Language-Model Agents
- NeurIPS 2026Self-Supervised Doppler-Guided RF Odometry
- NeurIPS 2026Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
- NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
- NeurIPS 2026Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
- NeurIPS 2026Self-Tuning Graph Filters via State-Dependent Operator Composition
- NeurIPS 2026SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
- NeurIPS 2026SetAD: Semi-Supervised Anomaly Learning in Contextual Sets
- NeurIPS 2026SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion
- NeurIPS 2026SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
- NeurIPS 2026Sparsely Supervised Diffusion
- NeurIPS 2026Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
- NeurIPS 2026Speculative Self-Distillation enables Efficient Knowledge Internalization
- NeurIPS 2026SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
- NeurIPS 2026SPIRIT: Speed-Driven Online Adaptation for Self-Speculative Decoding
- NeurIPS 2026SS3D: End2End Self-Supervised 3D from Web Videos
- NeurIPS 2026Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
- NeurIPS 2026StarWM: Self-Supervised Trained Attention Routing for Robust World Models
- NeurIPS 2026The Locality Cost of Semantic Patch Self-Distillation
- NeurIPS 2026The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training
- NeurIPS 2026Towards Self-Supervised, Generalizable and Decomposable 4D Driving Scene Reconstruction
- NeurIPS 2026Towards Understanding Self-Pretraining for Sequence Classification
- NeurIPS 2026Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning
- NeurIPS 2026Tune-Up Open-Weight CLIP: Optimization Framework for Self-Supervised Fine-tuning of CLIP
- NeurIPS 2026Ultra-DPO: Reimagining LLM Alignment as a Semi-Supervised Task
- NeurIPS 2026Understanding the Effects of Hyper-Connections on Self-Attention Dynamics: A Bifurcation Analysis
- NeurIPS 2026Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning
- NeurIPS 2026World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
- NeurIPS 2026Your Self-Supervised Projection Head Captures Object Co-Occurrence Statistics
- CVPR 2025A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
- CVPR 2025A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
- CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
- CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
- CVPR 2025Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
- CVPR 2025ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting
- CVPR 2025Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
- CVPR 2025AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
- CVPR 2025AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning
- CVPR 2025BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
- CVPR 2025Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
- CVPR 2025CGMatch: A Different Perspective of Semi-supervised Learning
- CVPR 2025CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
- CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
- CVPR 2025Consistency-aware Self-Training for Iterative-based Stereo Matching
- CVPR 2025COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
- CVPR 2025DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
- CVPR 2025DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197