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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 to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 Learning to Play Sequential Games versus Unknown Opponents NeurIPS 2020 Learning to Prove Theorems by Learning to Generate Theorems NeurIPS 2020 Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ACL 2020 Learning to Represent Image and Text with Denotation Graph EMNLP 2020 Learning to Represent Programs with Property Signatures ICLR 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020 Learning to search efficiently for causally near-optimal treatments NeurIPS 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 Learning to Simulate Dynamic Environments With GameGAN CVPR 2020 Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020 Learning to Understand Child-directed and Adult-directed Speech ACL 2020 Learning User Representations for Open Vocabulary Image Hashtag Prediction CVPR 2020 Learning Utilities and Equilibria in Non-Truthful Auctions NeurIPS 2020 Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020 Learning Vision-based Reactive Policies for Obstacle Avoidance CoRL 2020 Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020 Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020 Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP 2020 Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification COLING 2020 Learn to Explain Efficiently via Neural Logic Inductive Learning ICLR 2020 Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SemEval 2020 Let Me Choose: From Verbal Context to Font Selection ACL 2020 Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection EMNLP 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020