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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)

Safe Occlusion-Aware Autonomous Driving via Game-Theoretic Active Perception RSS 2021 Safe Policies for Factored Partially Observable Stochastic Games RSS 2021 Safe Policy Optimization with Local Generalized Linear Function Approximations NeurIPS 2021 Safe Pontryagin Differentiable Programming NeurIPS 2021 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Safe Reinforcement Learning via Statistical Model Predictive Shielding RSS 2021 Safe Reinforcement Learning with Linear Function Approximation ICML 2021 Safe Reinforcement Learning with Natural Language Constraints NeurIPS 2021 Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021 Safety Analysis of Deep Neural Networks IJCAI 2021 Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning RSS 2021 Safety Assurance for Systems with Machine Learning Components AAAI 2021 Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving ICCV 2021 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ICML 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 Saliency is a Possible Red Herring When Diagnosing Poor Generalization ICLR 2021 SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging IJCAI 2021 SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning NeurIPS 2021 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings ICCV 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021