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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)

Feature Clipping for Uncertainty Calibration AAAI 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis IJCNLP 2025 Feature Design for Bridging SAM and CLIP toward Referring Image Segmentation WACV 2025 Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025 Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids Interspeech 2025 Feature Importance Metrics in the Presence of Missing Data ICML 2025 Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders ACL 2025 Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ICLR 2025 Feature Shift Localization Network ICML 2025 Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 FEAT-writing: An Interactive Training System for Argumentative Writing COLING 2025 FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation ICCV 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025 Federated Assemblies AAAI 2025 Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis AISTATS 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Causal Structure Learning with Non-identical Variable Sets ICML 2025 Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity WACV 2025 Federated Continual Instruction Tuning ICCV 2025