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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning To Name Classes for Vision and Language Models CVPR 2023 Learning to Optimize Differentiable Games ICML 2023 Learning to Play General-Sum Games against Multiple Boundedly Rational Agents AAAI 2023 Learning to reason about contextual knowledge for planning under uncertainty UAI 2023 Learning to Reason and Memorize with Self-Notes NeurIPS 2023 Learning to reason over visual objects ICLR 2023 Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 Learning to See Physical Properties with Active Sensing Motor Policies CoRL 2023 Learning to See the Physical World AAAI 2023 Learning To Segment Every Referring Object Point by Point CVPR 2023 Learning to Select from Multiple Options AAAI 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer ICLR 2023 Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement ICML 2023 Learning to Taste: A Multimodal Wine Dataset NeurIPS 2023 Learning to Terminate in Object Navigation ACML 2023 Learning to Tokenize for Generative Retrieval NeurIPS 2023 Learning To Zoom and Unzoom CVPR 2023 Learning Trajectory-Word Alignments for Video-Language Tasks ICCV 2023 Learning Transformer Programs NeurIPS 2023 Learning Treatment Effects from Observational and Experimental Data AISTATS 2023 Learning Trust Over Directed Graphs in Multiagent Systems L4DC 2023 Learning Uncertainty for Unknown Domains with Zero-Target-Assumption ICLR 2023