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

45 papers, page 1 of 1

1. CVPR 2026Beyond Weak Supervision MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged
2. CVPR 2026Conversational Image Segmentation Grounding Abstract Concepts with Scalable Supervision
3. CVPR 2026FlexAvatar Learning Complete 3D Head Avatars with Partial Supervision
4. CVPR 2026GEM-TFL Bridging Weak and Full Supervision for Forgery Localization through
5. CVPR 2026Generalizable Video Quality Assessment via Weak-to-Strong Learning
6. CVPR 2026Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance
7. CVPR 2026MatchED Crisp Edge Detection Using End-to-End Matching-based Supervision
8. CVPR 2026NexusFlow Unifying Disparate Tasks under Partial Supervision via Invertible Flow
9. CVPR 2026PropFly Learning to Propagate via On-the-Fly Supervision from Pre-trained Video
10. CVPR 2026UnReflectAnything RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
11. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
12. ICLR 2026Does Weak-to-strong Generalization Happen under Spurious Correlations?
13. ICLR 2026Language-guided Open-world Video Anomaly Detection under Weak Supervision
14. ICLR 2026Metric $k$-clustering using only Weak Comparison Oracles
15. ICLR 2026Scalable Oversight via Partitioned Human Supervision
16. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
17. ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
18. ICLR 2026When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
19. ICML 2026Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
20. ICML 2026DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
21. ICML 2026Deep Trajectory Supervision: Deep Supervision Strikes Back
22. ICML 2026Learning Permutation from Structure Without Supervision
23. ICML 2026Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
24. ICML 2026Removing Sandbagging in LLMs by Training with Weak Supervision
25. ICML 2026The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
26. ICML 2026TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels
27. ICML 2026Training Data Efficiency in Multimodal Process Reward Models
28. ICML 2026Trust Functions: Near Lossless Weak-to-Strong Generalization by Learning to Trust the Weak Teacher
29. ICML 2026Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
30. ICML 2026Weak-to-Strong Generalization via Bregman Bias–Variance Decomposition
31. ICML 2026Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
32. ICML 2026When Labelers Stay Silent: The Power of Ties in Cost-Effective Preference Learning
33. ICML 2026WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
34. NeurIPS 2026Affine-invariant Cubic Newton with Weak Learners
35. NeurIPS 2026CAPER: Clause-Aligned Process Supervision for Text-to-SQL
36. NeurIPS 2026Clustering with Weak Distance Oracles
37. NeurIPS 2026From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
38. NeurIPS 2026Irreducible Supervision Enables Compositional Generalization in Post-Training
39. NeurIPS 2026Label-Free Consistency Correction for Weak-to-Strong Generalization
40. NeurIPS 2026Measuring Weak-to-Strong Legibility of Reasoning Models
41. NeurIPS 2026Neurosymbolic Object-Centric Learning with Distant Supervision
42. NeurIPS 2026Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video
43. NeurIPS 2026Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
44. NeurIPS 2026Uniform-in-Time Weak Propagation of Chaos in Shallow Neural Networks
45. NeurIPS 2026Your Teacher Can’t Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation

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.