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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)

Ontology-Enriched Query Answering on Relational Databases AAAI 2021 On Weak Stubborn Sets in Classical Planning IJCAI 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021 OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021 Open-domain clarification question generation without question examples EMNLP 2021 Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs EMNLP 2021 Open Domain Dialogue Generation with Latent Images AAAI 2021 Open Knowledge Graphs Canonicalization using Variational Autoencoders EMNLP 2021 Open Question Answering over Tables and Text ICLR 2021 Open World Compositional Zero-Shot Learning CVPR 2021 Operationalizing Complex Causes: A Pragmatic View of Mediation ICML 2021 Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies AAAI 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization AAAI 2021 Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021 Optimality and Stability in Federated Learning: A Game-theoretic Approach NeurIPS 2021 Optimal Kidney Exchange with Immunosuppressants AAAI 2021 Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation Interspeech 2021 Optimal Policies Tend To Seek Power NeurIPS 2021 Optimal Streaming Algorithms for Multi-Armed Bandits ICML 2021 Optimising Automatic Calibration of Electric Muscle Stimulation AAAI 2021 Optimism in Reinforcement Learning with Generalized Linear Function Approximation ICLR 2021 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021