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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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'25

Papers (including subtopics)

Learning outside the Black-Box: The pursuit of interpretable models NeurIPS 2020 Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning Quadratic Games on Networks ICML 2020 Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data IJCAI 2020 Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis AAAI 2020 Learning Robot Skills with Temporal Variational Inference ICML 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Learning Semantic-aware Normalization for Generative Adversarial Networks NeurIPS 2020 Learning Situational Driving CVPR 2020 Learning Sparse Nonparametric DAGs AISTATS 2020 Learning Spoken Language Representations with Neural Lattice Language Modeling ACL 2020 Learning Stability Certificates from Data CoRL 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning Strategy-Aware Linear Classifiers NeurIPS 2020 Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020 Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020 Learning the Arrow of Time for Problems in Reinforcement Learning ICLR 2020 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ICLR 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Learning the Value of Teamwork to Form Efficient Teams AAAI 2020 Learning to Ask Medical Questions using Reinforcement Learning MLHC 2020 Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract) AAAI 2020 Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020