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 26 of 40

1251. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
1252. ICLR 2024P2Seg: Pointly-supervised Segmentation via Mutual Distillation
1253. ICLR 2024Parametric Augmentation for Time Series Contrastive Learning
1254. ICLR 2024Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
1255. ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping
1256. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
1257. ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
1258. ICLR 2024Poly-View Contrastive Learning
1259. ICLR 2024PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
1260. ICLR 2024Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
1261. ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
1262. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
1263. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
1264. ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
1265. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
1266. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
1267. ICLR 2024Real-Fake: Effective Training Data Synthesis Through Distribution Matching
1268. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
1269. ICLR 2024REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
1270. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
1271. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
1272. ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
1273. ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
1274. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
1275. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
1276. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
1277. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
1278. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
1279. ICLR 2024SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
1280. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
1281. ICLR 2024Scalable Monotonic Neural Networks
1282. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
1283. ICLR 2024Self-Alignment with Instruction Backtranslation
1284. ICLR 2024Self-Consuming Generative Models Go MAD
1285. ICLR 2024Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
1286. ICLR 2024Self-Supervised Contrastive Learning for Long-term Forecasting
1287. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
1288. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
1289. ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
1290. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
1291. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
1292. ICLR 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
1293. ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
1294. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
1295. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
1296. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
1297. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
1298. ICLR 2024Simplifying Transformer Blocks
1299. ICLR 2024Soft Contrastive Learning for Time Series
1300. ICLR 2024SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

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.