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 28 of 40

1351. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
1352. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
1353. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
1354. ICML 2024Information Flow in Self-Supervised Learning
1355. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
1356. ICML 2024Learning to Model the World With Language
1357. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
1358. ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
1359. ICML 2024Matrix Information Theory for Self-Supervised Learning
1360. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
1361. ICML 2024Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
1362. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
1363. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
1364. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport
1365. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
1366. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
1367. ICML 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
1368. ICML 2024SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
1369. ICML 2024Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
1370. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
1371. ICML 2024Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
1372. ICML 2024Self-Composing Policies for Scalable Continual Reinforcement Learning
1373. ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
1374. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
1375. ICML 2024Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
1376. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
1377. ICML 2024Self-Rewarding Language Models
1378. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
1379. ICML 2024Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
1380. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
1381. ICML 2024SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
1382. ICML 2024SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
1383. ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
1384. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
1385. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
1386. ICML 2024Towards a Self-contained Data-driven Global Weather Forecasting Framework
1387. ICML 2024Towards Realistic Model Selection for Semi-supervised Learning
1388. ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
1389. ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
1390. ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
1391. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
1392. NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
1393. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
1394. NeurIPS 2024Accelerating Augmentation Invariance Pretraining
1395. NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
1396. NeurIPS 2024Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
1397. NeurIPS 2024Adversarially Robust Decision Transformer
1398. NeurIPS 2024AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
1399. NeurIPS 2024Amortized Planning with Large-Scale Transformers: A Case Study on Chess
1400. NeurIPS 2024Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss

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.