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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
'5
'10
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'25

Papers (including subtopics)

Scalable Coupling of Deep Learning with Logical Reasoning IJCAI 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CoRL 2023 Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs AAAI 2023 Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract) AAAI 2023 Scalable Performance Analysis for Vision-Language Models ACL 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 Scalable Spatial Memory for Scene Rendering and Navigation AAAI 2023 Scalable Transformer for PDE Surrogate Modeling NeurIPS 2023 Scalable Verification of Strategy Logic through Three-Valued Abstraction IJCAI 2023 Scale Alone Does not Improve Mechanistic Interpretability in Vision Models NeurIPS 2023 SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation CoRL 2023 ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023 Scale-Invariant Infinite Hierarchical Topic Model ACL 2023 SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023 Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology MLHC 2023 Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times ACL 2023 Scaling Language-Image Pre-Training via Masking CVPR 2023 Scaling Laws for a Multi-Agent Reinforcement Learning Model ICLR 2023 Scaling Laws for Generative Mixed-Modal Language Models ICML 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching WACV 2023 Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition CoRL 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023 Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023