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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)

A Rule Mining-based Advanced Persistent Threats Detection System IJCAI 2021 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 A sampling-based circuit for optimal decision making NeurIPS 2021 A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems EMNLP 2021 A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion AAAI 2021 A Semantic-based Method for Unsupervised Commonsense Question Answering ACL 2021 A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading EMNLP 2021 A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering AAAI 2021 A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks NeurIPS 2021 A Simple Framework for Cognitive Planning AAAI 2021 A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders EMNLP 2021 A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News EACL 2021 A Simplified Model for the Vocal Tract of [s] with Inclined Incisors Interspeech 2021 A Simultaneous Denoising and Dereverberation Framework with Target Decoupling Interspeech 2021 Asking the Right Questions: Learning Interpretable Action Models Through Query Answering AAAI 2021 Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning ICLR 2021 Aspect-Controlled Neural Argument Generation NAACL 2021 Assessing Emoji Use in Modern Text Processing Tools ACL 2021 Assessing Fairness in the Presence of Missing Data NeurIPS 2021 Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021 Assisted Robust Reward Design CoRL 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting AAAI 2021 A Study of Automatic Metrics for the Evaluation of Natural Language Explanations EACL 2021 A surprisal–duration trade-off across and within the world’s languages EMNLP 2021 A Survey of Online Hate Speech through the Causal Lens EMNLP 2021