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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)

Primacy Effect of ChatGPT EMNLP 2023 PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation EACL 2023 Principal-Agent Boolean Games IJCAI 2023 Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models AAAI 2023 Principled Data-Driven Decision Support for Cyber-Forensic Investigations AAAI 2023 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NeurIPS 2023 Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 PRIOR: Prototype Representation Joint Learning from Medical Images and Reports ICCV 2023 Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning ICLR 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS 2023 Privacy Aware Question-Answering System for Online Mental Health Risk Assessment ACL 2023 Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023 Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses CVPR 2023 Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack Interspeech 2023 Private Everlasting Prediction NeurIPS 2023 PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning EMNLP 2023 Proactive Deepfake Defence via Identity Watermarking WACV 2023 Proactive Multi-Camera Collaboration for 3D Human Pose Estimation ICLR 2023 Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse ICLR 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023 Probabilistic Generalization of Backdoor Trees with Application to SAT AAAI 2023