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 27 of 40

1301. ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
1302. ICLR 2024Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
1303. ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
1304. ICLR 2024State Representation Learning Using an Unbalanced Atlas
1305. ICLR 2024StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
1306. ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
1307. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
1308. ICLR 2024Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
1309. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
1310. ICLR 2024T-Rep: Representation Learning for Time Series using Time-Embeddings
1311. ICLR 2024Tailoring Self-Rationalizers with Multi-Reward Distillation
1312. ICLR 2024Teaching Large Language Models to Self-Debug
1313. ICLR 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
1314. ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
1315. ICLR 2024Tight Rates in Supervised Outlier Transfer Learning
1316. ICLR 2024Topological data analysis on noisy quantum computers
1317. ICLR 2024Towards a statistical theory of data selection under weak supervision
1318. ICLR 2024Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
1319. ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
1320. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
1321. ICLR 2024Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
1322. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
1323. ICLR 2024Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
1324. ICLR 2024Unsupervised Order Learning
1325. ICLR 2024Unsupervised Pretraining for Fact Verification by Language Model Distillation
1326. ICLR 2024Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
1327. ICLR 2024Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
1328. ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
1329. ICLR 2024Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
1330. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
1331. ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
1332. ICML 2024Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
1333. ICML 2024Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
1334. ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
1335. ICML 2024Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
1336. ICML 2024Classification Under Strategic Self-Selection
1337. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
1338. ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
1339. ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
1340. ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
1341. ICML 2024Deep Neural Room Acoustics Primitive
1342. ICML 2024Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
1343. ICML 2024Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
1344. ICML 2024Explorations of Self-Repair in Language Models
1345. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
1346. ICML 2024Federated Self-Explaining GNNs with Anti-shortcut Augmentations
1347. ICML 2024FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
1348. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
1349. ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
1350. ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

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.