Information Extraction papers, 2023–2026

Key findings

• Information Extraction went from 143 papers in 2023 to 266 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Information Extraction work: 287 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 28 in 2026.
• Among the 5 topics under Natural Language, it ranks #3 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
• ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
• CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
• NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
• ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
• ICLR 2025ADAM: An Embodied Causal Agent in Open-World Environments
• CVPR 2025A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
• NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
• ICML 2024An Information-Theoretic Analysis of In-Context Learning
• ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
• CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
• NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
• ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
• ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
• CVPR 2023"Seeing" Electric Network Frequency From Events
• NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
• ICML 2026GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
• ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
• CVPR 2026Beyond Whats Shared Recovering Lost Unique Information from Intermediate Layers

All Information Extraction papers

44 papers, page 1 of 1

1. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
2. NeurIPS 2023A unified framework for information-theoretic generalization bounds
3. NeurIPS 2023An information-theoretic quantification of the content of communication between brain regions
4. NeurIPS 2023Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
5. NeurIPS 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
6. NeurIPS 2023Data Pruning via Moving-one-Sample-out
7. NeurIPS 2023Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
8. NeurIPS 2023Easy Learning from Label Proportions
9. NeurIPS 2023Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
10. NeurIPS 2023Explaining Predictive Uncertainty with Information Theoretic Shapley Values
11. NeurIPS 2023FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
12. NeurIPS 2023Faster Relative Entropy Coding with Greedy Rejection Coding
13. NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
14. NeurIPS 2023Gacs-Korner Common Information Variational Autoencoder
15. NeurIPS 2023Generalized Information-theoretic Multi-view Clustering
16. NeurIPS 2023Group Robust Classification Without Any Group Information
17. NeurIPS 2023Ignorance is Bliss: Robust Control via Information Gating
18. NeurIPS 2023Improving Adversarial Robustness via Information Bottleneck Distillation
19. NeurIPS 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
20. NeurIPS 2023Information Geometry of the Retinal Representation Manifold
21. NeurIPS 2023Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
22. NeurIPS 2023Information-guided Planning: An Online Approach for Partially Observable Problems
23. NeurIPS 2023Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
24. NeurIPS 2023Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
25. NeurIPS 2023K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
26. NeurIPS 2023Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
27. NeurIPS 2023Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
28. NeurIPS 2023Max-Sliced Mutual Information
29. NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
30. NeurIPS 2023OceanBench: The Sea Surface Height Edition
31. NeurIPS 2023On quantum backpropagation, information reuse, and cheating measurement collapse
32. NeurIPS 2023On Slicing Optimality for Mutual Information
33. NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
34. NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
35. NeurIPS 2023Reinforcement Learning with Simple Sequence Priors
36. NeurIPS 2023Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
37. NeurIPS 2023The Bayesian Stability Zoo
38. NeurIPS 2023Time-Independent Information-Theoretic Generalization Bounds for SGLD
39. NeurIPS 2023Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
40. NeurIPS 2023Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
41. NeurIPS 2023Unsupervised Behavior Extraction via Random Intent Priors
42. NeurIPS 2023When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
43. NeurIPS 2023WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
44. NeurIPS 2023XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

FAQ

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

798 in total: 143 in 2023, 190 in 2024, 199 in 2025, 266 in 2026.

How many Information Extraction papers are at NeurIPS 2026?

NeurIPS 2026 has 96 Information Extraction papers, versus 80 the year before.

How many Information Extraction papers are at ICLR 2026?

ICLR 2026 has 63 Information Extraction papers, versus 50 the year before.

How many Information Extraction papers are at ICML 2026?

ICML 2026 has 74 Information Extraction papers, versus 46 the year before.

How many Information Extraction papers are at CVPR 2026?

CVPR 2026 has 33 Information Extraction papers, versus 23 the year before.

Which conference publishes the most Information Extraction papers?

NeurIPS, with 287 papers from 2023 to 2026.