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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)

Layer-wise Model Pruning based on Mutual Information EMNLP 2021 Layer-Wise Neural Network Compression via Layer Fusion ACML 2021 LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity CVPR 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 LEAF: A Learnable Frontend for Audio Classification ICLR 2021 Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction CoRL 2021 Learnable Boundary Guided Adversarial Training ICCV 2021 Learned Visual Navigation for Under-Canopy Agricultural Robots RSS 2021 Learning 3D Dense Correspondence via Canonical Point Autoencoder NeurIPS 2021 Learning 3-D Human Pose Estimation from Catadioptric Videos IJCAI 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning about Word Vector Representations and Deep Learning through Implementing Word2vec NAACL 2021 Learning Accurate and Interpretable Decision Rule Sets from Neural Networks AAAI 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021 Learning A Minimax Optimizer: A Pilot Study ICLR 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning and Planning in Complex Action Spaces ICML 2021 Learning and Planning Under Uncertainty for Green Security IJCAI 2021 Learning Approximate Forward Reachable Sets Using Separating Kernels L4DC 2021 Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor CoRL 2021 Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts AAAI 2021 Learning Asynchronous and Sparse Human-Object Interaction in Videos CVPR 2021 Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NeurIPS 2021 Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation CVPR 2021