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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 by Asking Questions CVPR 2018 Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018 Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs EMNLP 2018 Learning Compressible 360° Video Isomers CVPR 2018 “Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018 Learning Conditioned Graph Structures for Interpretable Visual Question Answering NeurIPS 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018 Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal CoRL 2018 Learning Diffusion using Hyperparameters ICML 2018 Learning Discrete Weights Using the Local Reparameterization Trick ICLR 2018 Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018 Learning End-to-End Goal-Oriented Dialog with Multiple Answers EMNLP 2018 Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018 Learning Equations for Extrapolation and Control ICML 2018 Learning Explanations from Language Data EMNLP 2018 Learning Explanatory Rules from Noisy Data (Extended Abstract) IJCAI 2018 Learning from Group Comparisons: Exploiting Higher Order Interactions NeurIPS 2018 Learning from the experts: From expert systems to machine-learned diagnosis models MLHC 2018 Learning Hidden Quantum Markov Models AISTATS 2018 Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences ACL 2018 Learning how to explain neural networks: PatternNet and PatternAttribution ICLR 2018 Learning Independent Causal Mechanisms ICML 2018 Learning in Games with Lossy Feedback NeurIPS 2018 Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018