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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)

NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue EMNLP 2021 Nearest Neighbor Machine Translation ICLR 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Nearly-Tight and Oblivious Algorithms for Explainable Clustering NeurIPS 2021 Near-Optimal No-Regret Learning in General Games NeurIPS 2021 NEAT: Neural Attention Fields for End-to-End Autonomous Driving ICCV 2021 Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions AAAI 2021 Necessary and sufficient conditions for causal feature selection in time series with latent common causes ICML 2021 Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NeurIPS 2021 Negation-Instance Based Evaluation of End-to-End Negation Resolution CoNLL 2021 Negative language transfer in learner English: A new dataset NAACL 2021 Nerfies: Deformable Neural Radiance Fields ICCV 2021 NeRP: Neural Rearrangement Planning for Unknown Objects RSS 2021 NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis CVPR 2021 NeRV: Neural Representations for Videos NeurIPS 2021 Nested Counterfactual Identification from Arbitrary Surrogate Experiments NeurIPS 2021 Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path ACL 2021 Network Inference and Influence Maximization from Samples ICML 2021 Network Pruning via Performance Maximization CVPR 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021 Neural Additive Models: Interpretable Machine Learning with Neural Nets NeurIPS 2021 Neural Analogical Matching AAAI 2021 Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations NeurIPS 2021 Neural Anaphora Resolution in Dialogue EMNLP 2021 Neural Architecture Dilation for Adversarial Robustness NeurIPS 2021