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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)

Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism IJCAI 2020 Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems L4DC 2020 Evade Deep Image Retrieval by Stashing Private Images in the Hash Space CVPR 2020 Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NeurIPS 2020 Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise IJCAI 2020 Evaluating Attribution for Graph Neural Networks NeurIPS 2020 Evaluating Attribution Methods using White-Box LSTMs EMNLP 2020 Evaluating Automatically Generated Phoneme Captions for Images Interspeech 2020 Evaluating Committees for Representative Democracies: the Distortion and Beyond IJCAI 2020 Evaluating Commonsense in Pre-Trained Language Models AAAI 2020 Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020 Evaluating Explanation Methods for Neural Machine Translation ACL 2020 Evaluating Factuality in Generation with Dependency-level Entailment EMNLP 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity ACL 2020 Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020 Evaluation of Coreference Resolution Systems Under Adversarial Attacks EMNLP 2020 Evaluation of Machine Translation Methods applied to Medical Terminologies EMNLP 2020 Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks EMNLP 2020 Event Extraction as Machine Reading Comprehension EMNLP 2020 Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020 Evolved Speech-Transformer: Applying Neural Architecture Search to End-to-End Automatic Speech Recognition Interspeech 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020