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

30 papers, page 1 of 1

1. CVPR 2025Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
2. CVPR 2025Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
3. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
4. CVPR 2025Masking meets Supervision: A Strong Learning Alliance
5. ICLR 2025Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
6. ICLR 2025Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
7. ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
8. ICLR 2025Learning from weak labelers as constraints
9. ICLR 2025Provable weak-to-strong generalization via benign overfitting
10. ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
11. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
12. ICLR 2025Weak to Strong Generalization for Large Language Models with Multi-capabilities
13. ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
14. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
15. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
16. NeurIPS 2025Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
17. NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
18. NeurIPS 2025Disentangling Latent Shifts of In-Context Learning with Weak Supervision
19. NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
20. NeurIPS 2025From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
21. NeurIPS 2025Learning from Interval Targets
22. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
23. NeurIPS 2025On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
24. NeurIPS 2025Revisiting Agnostic Boosting
25. NeurIPS 2025Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
26. NeurIPS 2025Robust Label Proportions Learning
27. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
28. NeurIPS 2025Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
29. NeurIPS 2025Weak-to-Strong Generalization under Distribution Shifts
30. NeurIPS 2025Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification

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.