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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)

Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks IJCAI 2020 Maximizing Welfare with Incentive-Aware Evaluation Mechanisms IJCAI 2020 Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning ICML 2020 Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning ICLR 2020 Maximum Nash Welfare and Other Stories About EFX IJCAI 2020 May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance EMNLP 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 Measurement Dependence Inducing Latent Causal Models UAI 2020 Measuring Alignment to Authoritarian State Media as Framing Bias COLING 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data ICLR 2020 Measuring Correlation-to-Causation Exaggeration in Press Releases COLING 2020 Measuring Forecasting Skill from Text ACL 2020 Measuring Information Propagation in Literary Social Networks EMNLP 2020 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020 MEBOW: Monocular Estimation of Body Orientation in the Wild CVPR 2020 Mechanism Design for School Choice with Soft Diversity Constraints IJCAI 2020 Mechanism Design with Predicted Task Revenue for Bike Sharing Systems AAAI 2020 Mechanism Design with Uncertainty IJCAI 2020 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining EMNLP 2020 MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge EMNLP 2020 Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL 2020 MeDIL: A Python Package for Causal Modelling PGM 2020 MedWriter: Knowledge-Aware Medical Text Generation COLING 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020