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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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'25

Papers (including subtopics)

Constrained Monotonic Neural Networks ICML 2023 Constrained Phi-Equilibria ICML 2023 Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems ACL 2023 Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023 Constraining Representations Yields Models That Know What They Don't Know ICLR 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NeurIPS 2023 Constraint Optimization over Semirings AAAI 2023 Constraints First: A New MDD-based Model to Generate Sentences Under Constraints IJCAI 2023 Constructing Procedural Graphs with Multiple Dependency Relations: A New Dataset and Baseline ACL 2023 Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling ACL 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023 Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint IJCAI 2023 ContactGen: Generative Contact Modeling for Grasp Generation ICCV 2023 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer MLHC 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area CoRL 2023 Context-Aware Document Simplification ACL 2023 Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents ICCV 2023 Context-Aware Transformer Pre-Training for Answer Sentence Selection ACL 2023 Context Compression for Auto-regressive Transformers with Sentinel Tokens EMNLP 2023 Context De-Confounded Emotion Recognition CVPR 2023 Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations ACL 2023 Context-faithful Prompting for Large Language Models EMNLP 2023 Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023