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. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
2. ICLR 2026Does Weak-to-strong Generalization Happen under Spurious Correlations?
3. ICLR 2026Language-guided Open-world Video Anomaly Detection under Weak Supervision
4. ICLR 2026Metric $k$-clustering using only Weak Comparison Oracles
5. ICLR 2026Scalable Oversight via Partitioned Human Supervision
6. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
7. ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
8. ICLR 2026When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
9. ICLR 2025Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
10. ICLR 2025Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
11. ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
12. ICLR 2025Learning from weak labelers as constraints
13. ICLR 2025Provable weak-to-strong generalization via benign overfitting
14. ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
15. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
16. ICLR 2025Weak to Strong Generalization for Large Language Models with Multi-capabilities
17. ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
18. ICLR 2024Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
19. ICLR 2024Towards a statistical theory of data selection under weak supervision
20. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
21. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
22. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
23. ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
24. ICLR 2023Label Propagation with Weak Supervision
25. ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
26. ICLR 2023Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
27. ICLR 2023Neural Optimal Transport
28. ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
29. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
30. ICLR 2023Video Scene Graph Generation from Single-Frame 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.