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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)

Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing ICML 2020 Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms NeurIPS 2020 Optimising Partial-Order Plans Via Action Reinstantiation IJCAI 2020 Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NeurIPS 2020 Optimistic Exploration even with a Pessimistic Initialisation ICLR 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020 Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach ICML 2020 Option Discovery using Deep Skill Chaining ICLR 2020 Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection AAAI 2020 Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 2020 Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding ACL 2020 “Other-Play” for Zero-Shot Coordination ICML 2020 Overview of the First Workshop on Scholarly Document Processing (SDP) EMNLP 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 PackIt: A Virtual Environment for Geometric Planning ICML 2020 Pair Expansion for Learning Multilingual Semantic Embeddings Using Disjoint Visually-Grounded Speech Audio Datasets Interspeech 2020 PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation EMNLP 2020 Pairwise Fairness for Ranking and Regression AAAI 2020 Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation CVPR 2020 Pan-Private Uniformity Testing COLT 2020 Paralinguistic Classification of Mask Wearing by Image Classifiers and Fusion Interspeech 2020 Parallel Corpus Filtering via Pre-trained Language Models ACL 2020 Parallel Data Augmentation for Formality Style Transfer ACL 2020