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

143 papers, page 2 of 3

51. ICLR 2023TypeT5: Seq2seq Type Inference using Static Analysis
52. ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
53. ICLR 2023Variational Information Pursuit for Interpretable Predictions
54. ICML 2023A Picture of the Space of Typical Learnable Tasks
55. ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
56. ICML 2023Adapting to game trees in zero-sum imperfect information games
57. ICML 2023An Information-Theoretic Analysis of Nonstationary Bandit Learning
58. ICML 2023Buying Information for Stochastic Optimization
59. ICML 2023CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
60. ICML 2023Communication-Constrained Bandits under Additive Gaussian Noise
61. ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
62. ICML 2023Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
63. ICML 2023Discrete Key-Value Bottleneck
64. ICML 2023Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
65. ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
66. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
67. ICML 2023Fair Neighbor Embedding
68. ICML 2023FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
69. ICML 2023Fisher Information Embedding for Node and Graph Learning
70. ICML 2023Forget Unlearning: Towards True Data-Deletion in Machine Learning
71. ICML 2023Fundamental Tradeoffs in Learning with Prior Information
72. ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
73. ICML 2023How Does Information Bottleneck Help Deep Learning?
74. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
75. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
76. ICML 2023InfoOT: Information Maximizing Optimal Transport
77. ICML 2023Inverse Reinforcement Learning without Reinforcement Learning
78. ICML 2023Learning Perturbations to Explain Time Series Predictions
79. ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
80. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
81. ICML 2023Learning to Maximize Mutual Information for Dynamic Feature Selection
82. ICML 2023Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
83. ICML 2023Margin-based Neural Network Watermarking
84. ICML 2023Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
85. ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
86. ICML 2023Online Mechanism Design for Information Acquisition
87. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
88. ICML 2023Paging with Succinct Predictions
89. ICML 2023PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
90. ICML 2023Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
91. ICML 2023Predicting Rare Events by Shrinking Towards Proportional Odds
92. ICML 2023Principled Offline RL in the Presence of Rich Exogenous Information
93. ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
94. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
95. ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
96. ICML 2023Tighter Information-Theoretic Generalization Bounds from Supersamples
97. ICML 2023Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
98. ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
99. ICML 2023When does Privileged information Explain Away Label Noise?
100. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective

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.