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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)

Input Convex Neural Networks for Building MPC L4DC 2021 In Search of Lost Domain Generalization ICLR 2021 Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering ACL 2021 Instance-dependent Label-noise Learning under a Structural Causal Model NeurIPS 2021 InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring ICCV 2021 Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021 INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving ICLR 2021 Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks ICCV 2021 Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models ACL 2021 Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression NeurIPS 2021 Integrating Human Gaze Into Attention for Egocentric Activity Recognition WACV 2021 Integrating Pre-trained Model into Rule-based Dialogue Management AAAI 2021 Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations AAAI 2021 Integrating Transformers and Knowledge Graphs for Twitter Stance Detection EMNLP 2021 Integrating Tree Path in Transformer for Code Representation NeurIPS 2021 Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization EMNLP 2021 IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion ACL 2021 Intelligent and Learning Agents: Four Investigations IJCAI 2021 Intentonomy: A Dataset and Study Towards Human Intent Understanding CVPR 2021 Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing EMNLP 2021 Interacting with Explanations through Critiquing IJCAI 2021 Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations ICCV 2021 Interaction Considerations in Learning from Humans IJCAI 2021 Interaction-Grounded Learning ICML 2021 Interactive Learning from Activity Description ICML 2021