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

231 papers, page 5 of 5

201. ICML 2023Fisher Information Embedding for Node and Graph Learning
202. ICML 2023Forget Unlearning: Towards True Data-Deletion in Machine Learning
203. ICML 2023Fundamental Tradeoffs in Learning with Prior Information
204. ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
205. ICML 2023How Does Information Bottleneck Help Deep Learning?
206. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
207. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
208. ICML 2023InfoOT: Information Maximizing Optimal Transport
209. ICML 2023Inverse Reinforcement Learning without Reinforcement Learning
210. ICML 2023Learning Perturbations to Explain Time Series Predictions
211. ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
212. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
213. ICML 2023Learning to Maximize Mutual Information for Dynamic Feature Selection
214. ICML 2023Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
215. ICML 2023Margin-based Neural Network Watermarking
216. ICML 2023Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
217. ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
218. ICML 2023Online Mechanism Design for Information Acquisition
219. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
220. ICML 2023Paging with Succinct Predictions
221. ICML 2023PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
222. ICML 2023Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
223. ICML 2023Predicting Rare Events by Shrinking Towards Proportional Odds
224. ICML 2023Principled Offline RL in the Presence of Rich Exogenous Information
225. ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
226. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
227. ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
228. ICML 2023Tighter Information-Theoretic Generalization Bounds from Supersamples
229. ICML 2023Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
230. ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
231. ICML 2023When does Privileged information Explain Away Label Noise?

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.