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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)

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning NeurIPS 2020 Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation NeurIPS 2020 Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation ACL 2020 Examining the rhetorical capacities of neural language models EMNLP 2020 EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering EMNLP 2020 exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models ACL 2020 Exchangeable Neural ODE for Set Modeling NeurIPS 2020 Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning AAAI 2020 Experience Grounds Language EMNLP 2020 Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions? COLING 2020 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Explainability in Autonomous Pedagogical Agents AAAI 2020 Explainable Agency in Reinforcement Learning Agents AAAI 2020 Explainable and Sparse Representations of Academic Articles for Knowledge Exploration COLING 2020 Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020 Explainable Clinical Decision Support from Text EMNLP 2020 Explainable Inference on Sequential Data via Memory-Tracking IJCAI 2020 Explainable k-Means and k-Medians Clustering ICML 2020 Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020 Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability IJCAI 2020 Explainable Reinforcement Learning through a Causal Lens AAAI 2020 Explainable Voting NeurIPS 2020 Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering COLING 2020 Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020 Explaining Groups of Points in Low-Dimensional Representations ICML 2020