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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)

Learning Perceptual Inference by Contrasting NeurIPS 2019 Learning Personalized End-to-End Goal-Oriented Dialog AAAI 2019 Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization AAAI 2019 Learning Programmatically Structured Representations with Perceptor Gradients ICLR 2019 Learning Recurrent Binary/Ternary Weights ICLR 2019 Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019 Learning Representations of Sets through Optimized Permutations ICLR 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning Robotic Manipulation through Visual Planning and Acting RSS 2019 Learning Robust Representations by Projecting Superficial Statistics Out ICLR 2019 Learning Rules-First Classifiers AISTATS 2019 Learning Semantic Representations for Novel Words: Leveraging Both Form and Context AAAI 2019 Learning Shape-Aware Embedding for Scene Text Detection CVPR 2019 Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation IJCAI 2019 Learning sparse relational transition models ICLR 2019 Learning Stable Deep Dynamics Models NeurIPS 2019 Learning Structured Decision Problems with Unawareness ICML 2019 Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition Interspeech 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning EMNLP 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Learning to Abstract for Memory-augmented Conversational Response Generation ACL 2019 Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks AAAI 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Bootstrap for Entity Set Expansion EMNLP 2019