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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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'25

Papers (including subtopics)

Learning How to MIMIC: Using Model Explanations To Guide Deep Learning Training WACV 2023 Learning Human Dynamics in Autonomous Driving Scenarios ICCV 2023 Learning Human-Human Interactions in Images from Weak Textual Supervision ICCV 2023 Learning Human Mesh Recovery in 3D Scenes CVPR 2023 Learning Human-to-Robot Handovers From Point Clouds CVPR 2023 Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce CVPR 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023 Learning Interpretable Style Embeddings via Prompting LLMs EMNLP 2023 Learning Interpretable Temporal Properties from Positive Examples Only AAAI 2023 Learning Intuitive Policies Using Action Features ICML 2023 Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis EMNLP 2023 Learning Linear Causal Representations from Interventions under General Nonlinear Mixing NeurIPS 2023 Learning Locality and Isotropy in Dialogue Modeling ICLR 2023 Learning Local to Global Feature Aggregation for Speech Emotion Recognition Interspeech 2023 Learning Logic Programs by Discovering Where Not to Search AAAI 2023 Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation CoRL 2023 Learning Mask-aware CLIP Representations for Zero-Shot Segmentation NeurIPS 2023 Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions ICLR 2023 Learning Mean-Field Games with Discounted and Average Costs JMLR 2023 Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention MLHC 2023 Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization CVPR 2023 Learning Multimodal Data Augmentation in Feature Space ICLR 2023 Learning Navigational Visual Representations with Semantic Map Supervision ICCV 2023