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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
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'25

Papers (including subtopics)

Learning Subgoal Representations with Slow Dynamics ICLR 2021 Learning Task Decomposition with Ordered Memory Policy Network ICLR 2021 Learning Task Informed Abstractions ICML 2021 Learning Temporal Plan Preferences from Examples: An Empirical Study IJCAI 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021 Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data MIDL 2021 Learning To Adversarially Blur Visual Object Tracking ICCV 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 Learning to Assimilate in Chaotic Dynamical Systems NeurIPS 2021 Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties CoRL 2021 Learning To Bundle-Adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM ICCV 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning to Check Contract Inconsistencies AAAI 2021 Learning to Copy Coherent Knowledge for Response Generation AAAI 2021 Learning To Cut by Watching Movies ICCV 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation ICLR 2021 Learning to Decompose and Organize Complex Tasks NAACL 2021 Learning to Draw: Emergent Communication through Sketching NeurIPS 2021 Learning To Drive From a World on Rails ICCV 2021 Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NeurIPS 2021 Learning to Explain: Generating Stable Explanations Fast ACL 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning to Ground Multi-Agent Communication with Autoencoders NeurIPS 2021 Learning to Ground Visual Objects for Visual Dialog EMNLP 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021