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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
'5
'10
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'25

Papers (including subtopics)

CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision ICCV 2023 CORL: Research-oriented Deep Offline Reinforcement Learning Library NeurIPS 2023 Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements AAAI 2023 Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models AAAI 2023 Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NeurIPS 2023 CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding ACL 2023 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation NeurIPS 2023 CoRTX: Contrastive Framework for Real-time Explanation ICLR 2023 COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning AAAI 2023 Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards CVPR 2023 CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network EMNLP 2023 CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection ICCV 2023 CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification EACL 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Counterfactual Analysis in Dynamic Latent State Models ICML 2023 Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023 Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation NeurIPS 2023 Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023 Counterfactual Debiasing for Fact Verification ACL 2023 Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning AAAI 2023 Counterfactual Fairness Is Basically Demographic Parity AAAI 2023 Counterfactual Generation with Identifiability Guarantees NeurIPS 2023 Counterfactual Identifiability of Bijective Causal Models ICML 2023 Counterfactual Learning with General Data-Generating Policies AAAI 2023