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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020 Geometrically Principled Connections in Graph Neural Networks CVPR 2020 Geometric Insights into the Convergence of Nonlinear TD Learning ICLR 2020 Geometry-Constrained Car Recognition Using a 3D Perspective Network AAAI 2020 GhostNet: More Features From Cheap Operations CVPR 2020 Gibbs Sampling with People NeurIPS 2020 Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? ACL 2020 Global Relational Models of Source Code ICLR 2020 Global Texture Enhancement for Fake Face Detection in the Wild CVPR 2020 GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking AAAI 2020 GLUCOSE: GeneraLized and COntextualized Story Explanations EMNLP 2020 GLUECoS: An Evaluation Benchmark for Code-Switched NLP ACL 2020 Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs ACL 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning CVPR 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 Goal-Aware Prediction: Learning to Model What Matters ICML 2020 Goal-directed Generation of Discrete Structures with Conditional Generative Models NeurIPS 2020 Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion COLING 2020 GPS-Net: Graph Property Sensing Network for Scene Graph Generation CVPR 2020 GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response AAAI 2020 GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems EMNLP 2020 Gradient-Aware Model-Based Policy Search AAAI 2020