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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)

Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification EMNLP 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020 Learning from Demonstrations using Signal Temporal Logic CoRL 2020 Learning from Explanations with Neural Execution Tree ICLR 2020 Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020 Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation IJCAI 2020 Learning Global Transparent Models consistent with Local Contrastive Explanations NeurIPS 2020 Learning Goal-oriented Dialogue Policy with opposite Agent Awareness AACL 2020 Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning ICLR 2020 Learning hierarchical relationships for object-goal navigation CoRL 2020 Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations CoRL 2020 Learning Human-Object Interaction Detection Using Interaction Points CVPR 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NeurIPS 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback EMNLP 2020 Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis CVPR 2020 Learning Interactions and Relationships Between Movie Characters CVPR 2020 Learning Interactively to Resolve Ambiguity in Reference Frame Selection CoRL 2020 Learning Interpretable Models in the Property Specification Language IJCAI 2020 Learning Interpretable Models using Soft Integrity Constraints ACML 2020