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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

MAGIC: Learning Macro-Actions for Online POMDP Planning RSS 2021 Majority Opinion Diffusion in Social Networks: An Adversarial Approach AAAI 2021 Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites IJCAI 2021 Making a (Counterfactual) Difference One Rationale at a Time NeurIPS 2021 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths ICCV 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 ManipulaTHOR: A Framework for Visual Object Manipulation CVPR 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 Mapping probability word problems to executable representations EMNLP 2021 MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NeurIPS 2021 Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data ICML 2021 Market-Based Explanations of Collective Decisions AAAI 2021 Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances AAAI 2021 MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021 Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis CVPR 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 MATE: Multi-view Attention for Table Transformer Efficiency EMNLP 2021 Mathematical Reasoning via Self-supervised Skip-tree Training ICLR 2021 Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints EMNLP 2021 Math Word Problem Solving with Explicit Numerical Values ACL 2021