Deep learning · self supervised learning papers, 2023–2026

Deep learning area: self_supervised_learning

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,958 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Deep learning · self supervised learning papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202316010841146455
202411019562105472
20251471957283497
202611019513594534

Representative papers

Spread across years and venues so every edition shows up

All Deep learning · self supervised learning papers

YearAll2023202420252026
VenueAllNeurIPSICLRICMLCVPR

1,956 papers, page 12 of 40

  1. CVPR 2025FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
  2. CVPR 2025FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
  3. CVPR 2025Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
  4. CVPR 2025FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
  5. CVPR 2025GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
  6. CVPR 2025Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
  7. CVPR 2025Generating 3D-Consistent Videos from Unposed Internet Photos
  8. CVPR 2025GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation
  9. CVPR 2025GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction
  10. CVPR 2025Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
  11. CVPR 2025Invisible Backdoor Attack against Self-supervised Learning
  12. CVPR 2025Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
  13. CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
  14. CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
  15. CVPR 2025Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
  16. CVPR 2025Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model
  17. CVPR 2025Learning Textual Prompts for Open-World Semi-Supervised Learning
  18. CVPR 2025Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
  19. CVPR 2025Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
  20. CVPR 2025Masking meets Supervision: A Strong Learning Alliance
  21. CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
  22. CVPR 2025Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation
  23. CVPR 2025Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
  24. CVPR 2025MVDoppler-Pose: Multi-Modal Multi-View mmWave Sensing for Long-Distance Self-Occluded Human Walking Pose Estimation
  25. CVPR 2025Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
  26. CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
  27. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
  28. CVPR 2025ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
  29. CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
  30. CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
  31. CVPR 2025PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
  32. CVPR 2025Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
  33. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
  34. CVPR 2025Probing the Mid-level Vision Capabilities of Self-Supervised Learning
  35. CVPR 2025PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
  36. CVPR 2025Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers
  37. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
  38. CVPR 2025S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation
  39. CVPR 2025Sea-ing in Low-light
  40. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
  41. CVPR 2025Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
  42. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
  43. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
  44. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
  45. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
  46. CVPR 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
  47. CVPR 2025Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion
  48. CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
  49. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
  50. CVPR 2025SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts

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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.

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