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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)

Exploiting Equality Constraints in Causal Inference AISTATS 2021 Exploiting Explanations for Model Inversion Attacks ICCV 2021 Exploiting Image–Text Synergy for Contextual Image Captioning EACL 2021 Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation EACL 2021 Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes ICCV 2021 Exploiting Opponents Under Utility Constraints in Sequential Games NeurIPS 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021 Exploiting & Refining Depth Distributions With Triangulation Light Curtains CVPR 2021 Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection CVPR 2021 Exploiting Sparsity for Neural Network Verification L4DC 2021 Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021 Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings EMNLP 2021 Exploration and Estimation for Model Compression ICCV 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NeurIPS 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021 Exploration via State influence Modeling AAAI 2021 Exploratory Machine Learning with Unknown Unknowns AAAI 2021 Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021 Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models AISTATS 2021 Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CoRL 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NeurIPS 2021 Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media EMNLP 2021 Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning AAAI 2021