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

693 papers, page 6 of 14

251. ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
252. ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
253. ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
254. ICLR 2025Formation of Representations in Neural Networks
255. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
256. ICLR 2025Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
257. ICLR 2025From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
258. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
259. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
260. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
261. ICLR 2025Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
262. ICLR 2025GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
263. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
264. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
265. ICLR 2025I-Con: A Unifying Framework for Representation Learning
266. ICLR 2025Identification of Intermittent Temporal Latent Process
267. ICLR 2025Improving Deep Regression with Tightness
268. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
269. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
270. ICLR 2025Instance-dependent Early Stopping
271. ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
272. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
273. ICLR 2025Isometric Regularization for Manifolds of Functional Data
274. ICLR 2025JPEG Inspired Deep Learning
275. ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
276. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
277. ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
278. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
279. ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
280. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
281. ICLR 2025Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
282. ICLR 2025LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
283. ICLR 2025Looped Transformers for Length Generalization
284. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
285. ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
286. ICLR 2025Memory Mosaics
287. ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
288. ICLR 2025MIND over Body: Adaptive Thinking using Dynamic Computation
289. ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
290. ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
291. ICLR 2025Mixture of In-Context Prompters for Tabular PFNs
292. ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
293. ICLR 2025Morphing Tokens Draw Strong Masked Image Models
294. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
295. ICLR 2025Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
296. ICLR 2025Near, far: Patch-ordering enhances vision foundation models' scene understanding
297. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
298. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
299. ICLR 2025Object-Centric Pretraining via Target Encoder Bootstrapping
300. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding

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.