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

497 papers, page 7 of 10

301. ICML 2025Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
302. ICML 2025HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
303. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
304. ICML 2025Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
305. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
306. ICML 2025Learning Efficient Robotic Garment Manipulation with Standardization
307. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
308. ICML 2025Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
309. ICML 2025NeuronTune: Towards Self-Guided Spurious Bias Mitigation
310. ICML 2025Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
311. ICML 2025On the Importance of Embedding Norms in Self-Supervised Learning
312. ICML 2025On the Out-of-Distribution Generalization of Self-Supervised Learning
313. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
314. ICML 2025PhySpec: Physically Consistent Spectral Reconstruction via Orthogonal Subspace Decomposition and Self-Supervised Meta-Auxiliary Learning
315. ICML 2025Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
316. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
317. ICML 2025Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
318. ICML 2025Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
319. ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
320. ICML 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
321. ICML 2025Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
322. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
323. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
324. ICML 2025Robust Autonomy Emerges from Self-Play
325. ICML 2025Sample-Optimal Agnostic Boosting with Unlabeled Data
326. ICML 2025scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
327. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
328. ICML 2025Self-Consistency Preference Optimization
329. ICML 2025Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
330. ICML 2025Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma
331. ICML 2025Self-supervised Adversarial Purification for Graph Neural Networks
332. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
333. ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
334. ICML 2025Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
335. ICML 2025SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
336. ICML 2025Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
337. ICML 2025Simplifying DINO via Coding Rate Regularization
338. ICML 2025SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
339. ICML 2025Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
340. ICML 2025Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
341. ICML 2025The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
342. ICML 2025The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training
343. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
344. ICML 2025TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
345. ICML 2025Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
346. ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
347. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
348. ICML 2025Tree-Sliced Wasserstein Distance with Nonlinear Projection
349. ICML 2025Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
350. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels

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.