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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 to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Learning to Clear the Market ICML 2019 Learning to Collocate Neural Modules for Image Captioning ICCV 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity NeurIPS 2019 Learning to Control the Fine-grained Sentiment for Story Ending Generation ACL 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Learning to Discover, Ground and Use Words with Segmental Neural Language Models ACL 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Explain With Complemental Examples CVPR 2019 Learning to Film From Professional Human Motion Videos CVPR 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning to Generalize Kinematic Models to Novel Objects CoRL 2019 Learning to Groove with Inverse Sequence Transformations ICML 2019 Learning to Infer Entities, Properties and their Relations from Clinical Conversations EMNLP 2019 Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019 Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight CoRL 2019 Learning to Navigate the Web ICLR 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019