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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 Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning NeurIPS 2019 Learning Controllable Fair Representations AISTATS 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019 Learning Deviation Payoffs in Simulation-Based Games AAAI 2019 Learning Diverse Bayesian Networks AAAI 2019 Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NeurIPS 2019 Learning Exploration Policies for Navigation ICLR 2019 Learning Factored Markov Decision Processes with Unawareness UAI 2019 Learning Factorized Multimodal Representations ICLR 2019 Learning Fairness in Multi-Agent Systems NeurIPS 2019 Learning Features and Abstract Actions for Computing Generalized Plans AAAI 2019 Learning Finite State Representations of Recurrent Policy Networks ICLR 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019 Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems ICML 2019 Learning from demonstration with model-based Gaussian process CoRL 2019 Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations NAACL 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams CoRL 2019 Learning from Trajectories via Subgoal Discovery NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019 Learning Generalized Temporal Abstractions across Both Action and Perception AAAI 2019 Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer IJCAI 2019 Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection Interspeech 2019 Learning Individual Styles of Conversational Gesture CVPR 2019