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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Compositional Transformation Reasoning for Composed Video Retrieval CVPR 2026 Comprehensive Study of Bilingual and Multi-category Instruction Pre-training EACL 2026 Compressing Language Models for Specialized Domains EACL 2026 Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding ACL 2026 CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables ACL 2026 Computing Approximately Proportional Allocations of Indivisible Goods: Beyond Additive and Monotone Valuations AAAI 2026 Computing Equilibrium Nominations in Presidential Elections AAAI 2026 Computing Exact Nash Equilibria in Graphical Games: A Geometric Approach to Paths, Stars, and Caterpillars UAI 2026 Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms AAAI 2026 Computing Syntax Tree-based Minimal Unsatisfiable Cores of LTLf Formulas AAAI 2026 Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence CVPR 2026 Concept-Aware Batch Sampling Improves Language-Image Pretraining CVPR 2026 Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness CVPR 2026 ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors CVPR 2026 Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach CVPR 2026 Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models AAAI 2026 Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations AAAI 2026 Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026 Condensed Test-Time Adaptation of VLMs for Action Recognition CVPR 2026 Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition AAAI 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection AAAI 2026 Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models ACL 2026 Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026 ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval CVPR 2026