Weak Supervision papers, 2023–2026

Key findings

• Weak Supervision went from 34 papers in 2023 to 45 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Weak Supervision work: 42 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 0 in 2023 to 7 in 2026.
• Among the 5 topics under Data-Centric AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Synthetic Data Generation, is up 1.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Affine-invariant Cubic Newton with Weak Learners
• ICML 2026Weak-to-Strong Generalization via Bregman Bias–Variance Decomposition
• ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
• CVPR 2026GEM-TFL Bridging Weak and Full Supervision for Forgery Localization through
• NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
• ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
• ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
• CVPR 2025Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
• NeurIPS 2024Metrizing Weak Convergence with Maximum Mean Discrepancies
• ICML 2024A General Framework for Learning from Weak Supervision
• ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
• CVPR 2024Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
• NeurIPS 2023Latent Graph Inference with Limited Supervision
• ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
• ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
• CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
• NeurIPS 2026Clustering with Weak Distance Oracles
• ICML 2026Learning Permutation from Structure Without Supervision
• ICLR 2026Language-guided Open-world Video Anomaly Detection under Weak Supervision
• CVPR 2026Generalizable Video Quality Assessment via Weak-to-Strong Learning

All Weak Supervision papers

34 papers, page 1 of 1

1. CVPR 2023BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
2. CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
3. CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
4. CVPR 2023Flow Supervision for Deformable NeRF
5. CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
6. CVPR 2023Generating Part-Aware Editable 3D Shapes Without 3D Supervision
7. CVPR 2023Ham2Pose: Animating Sign Language Notation Into Pose Sequences
8. CVPR 2023Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
9. CVPR 2023Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
10. CVPR 2023Learning 3D Scene Priors With 2D Supervision
11. CVPR 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
12. CVPR 2023Masked Autoencoding Does Not Help Natural Language Supervision at Scale
13. CVPR 2023NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
14. CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
15. CVPR 2023ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision
16. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
17. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
18. ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
19. ICLR 2023Label Propagation with Weak Supervision
20. ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
21. ICLR 2023Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
22. ICLR 2023Neural Optimal Transport
23. ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
24. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
25. ICLR 2023Video Scene Graph Generation from Single-Frame Weak Supervision
26. ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
27. ICML 2023Data-Derived Weak Universal Consistency
28. ICML 2023Rethinking Weak Supervision in Helping Contrastive Learning
29. ICML 2023Robust Speech Recognition via Large-Scale Weak Supervision
30. ICML 2023Robust Weak Supervision with Variational Auto-Encoders
31. NeurIPS 2023All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
32. NeurIPS 2023Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
33. NeurIPS 2023Latent Graph Inference with Limited Supervision
34. NeurIPS 2023Mitigating Source Bias for Fairer Weak Supervision

FAQ

How many Weak Supervision papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

136 in total: 34 in 2023, 27 in 2024, 30 in 2025, 45 in 2026.

How many Weak Supervision papers are at NeurIPS 2026?

NeurIPS 2026 has 12 Weak Supervision papers, versus 15 the year before.

How many Weak Supervision papers are at ICLR 2026?

ICLR 2026 has 8 Weak Supervision papers, versus 9 the year before.

How many Weak Supervision papers are at ICML 2026?

ICML 2026 has 15 Weak Supervision papers, versus 2 the year before.

How many Weak Supervision papers are at CVPR 2026?

CVPR 2026 has 10 Weak Supervision papers, versus 4 the year before.

Which conference publishes the most Weak Supervision papers?

NeurIPS, with 42 papers from 2023 to 2026.