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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)

Using Embeddings to Correct for Unobserved Confounding in Networks NeurIPS 2019 Using Grounded Word Representations to Study Theories of Lexical Concepts NAACL 2019 Using Human Attention to Extract Keyphrase from Microblog Post ACL 2019 Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs EMNLP 2019 Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets EMNLP 2019 Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019 Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models CoNLL 2019 Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory Practice Interspeech 2019 Using Unknown Occluders to Recover Hidden Scenes CVPR 2019 Validating Causal Inference Models via Influence Functions ICML 2019 Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NeurIPS 2019 Value Iteration Networks on Multiple Levels of Abstraction RSS 2019 Value Propagation Networks ICLR 2019 Variance Reduction for Matrix Games NeurIPS 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Denoising Network: Toward Blind Noise Modeling and Removal NeurIPS 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models NeurIPS 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 Variational Temporal Abstraction NeurIPS 2019