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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)

Bayesian Torrent Classification by File Name and Size Only PGM 2016 Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016 Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016 Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals CVPR 2016 Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016 Brains on Beats NeurIPS 2016 Camera Calibration From Dynamic Silhouettes Using Motion Barcodes CVPR 2016 Catching heuristics are optimal control policies NeurIPS 2016 CATENA: CAusal and TEmporal relation extraction from NAtural language texts COLING 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Causal Inference through a Witness Protection Program JMLR 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation Interspeech 2016 Chinese Poetry Generation with Planning based Neural Network COLING 2016 Chinese Preposition Selection for Grammatical Error Diagnosis COLING 2016 Chinese Tense Labelling and Causal Analysis COLING 2016 Closed Loop Control of a Tethered Magnetic Capsule Endoscope RSS 2016 Coherent Parametric Contours for Interactive Video Object Segmentation CVPR 2016 Combining Heterogeneous User Generated Data to Sense Well-being COLING 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Conditional Independencies under the Algorithmic Independence of Conditionals JMLR 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NeurIPS 2016