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

527 papers, page 6 of 11

251. NeurIPS 2025UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
252. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
253. NeurIPS 2025Variational Supervised Contrastive Learning
254. NeurIPS 2025What are you sinking? A geometric approach on attention sink
255. NeurIPS 2025Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
256. NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
257. NeurIPS 2025ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
258. NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
259. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
260. NeurIPS 2024Accelerating Augmentation Invariance Pretraining
261. NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
262. NeurIPS 2024Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
263. NeurIPS 2024Adversarially Robust Decision Transformer
264. NeurIPS 2024AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
265. NeurIPS 2024Amortized Planning with Large-Scale Transformers: A Case Study on Chess
266. NeurIPS 2024Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
267. NeurIPS 2024Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
268. NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
269. NeurIPS 2024bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
270. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
271. NeurIPS 2024CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
272. NeurIPS 2024Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
273. NeurIPS 2024Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
274. NeurIPS 2024Continuous Partitioning for Graph-Based Semi-Supervised Learning
275. NeurIPS 2024Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
276. NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
277. NeurIPS 2024Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation
278. NeurIPS 2024Cross-video Identity Correlating for Person Re-identification Pre-training
279. NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
280. NeurIPS 2024DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
281. NeurIPS 2024DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
282. NeurIPS 2024Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
283. NeurIPS 2024DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
284. NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
285. NeurIPS 2024DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
286. NeurIPS 2024EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
287. NeurIPS 2024Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
288. NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
289. NeurIPS 2024From Chaos to Clarity: 3DGS in the Dark
290. NeurIPS 2024Harnessing small projectors and multiple views for efficient vision pretraining
291. NeurIPS 2024How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
292. NeurIPS 2024Hyperbolic Embeddings of Supervised Models
293. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
294. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
295. NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
296. NeurIPS 2024In-Context Symmetries: Self-Supervised Learning through Contextual World Models
297. NeurIPS 2024Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
298. NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
299. NeurIPS 2024Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
300. NeurIPS 2024Label Noise: Ignorance Is Bliss

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.