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

28 papers, page 1 of 1

1. ICML 2026Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
2. ICML 2026DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
3. ICML 2026Deep Trajectory Supervision: Deep Supervision Strikes Back
4. ICML 2026Learning Permutation from Structure Without Supervision
5. ICML 2026Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
6. ICML 2026Removing Sandbagging in LLMs by Training with Weak Supervision
7. ICML 2026The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
8. ICML 2026TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels
9. ICML 2026Training Data Efficiency in Multimodal Process Reward Models
10. ICML 2026Trust Functions: Near Lossless Weak-to-Strong Generalization by Learning to Trust the Weak Teacher
11. ICML 2026Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
12. ICML 2026Weak-to-Strong Generalization via Bregman Bias–Variance Decomposition
13. ICML 2026Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
14. ICML 2026When Labelers Stay Silent: The Power of Ties in Cost-Effective Preference Learning
15. ICML 2026WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
16. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
17. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
18. ICML 2024A General Framework for Learning from Weak Supervision
19. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
20. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
21. ICML 2024ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
22. ICML 2024Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
23. ICML 2024WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
24. ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
25. ICML 2023Data-Derived Weak Universal Consistency
26. ICML 2023Rethinking Weak Supervision in Helping Contrastive Learning
27. ICML 2023Robust Speech Recognition via Large-Scale Weak Supervision
28. ICML 2023Robust Weak Supervision with Variational Auto-Encoders

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.