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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)

Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NeurIPS 2021 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models ICLR 2021 Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech ICML 2021 GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering NAACL 2021 Grammar-Based Grounded Lexicon Learning NeurIPS 2021 Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images ICCV 2021 Graph-Based Decoding for Task Oriented Semantic Parsing EMNLP 2021 Graph-Based Tri-Attention Network for Answer Ranking in CQA AAAI 2021 GraphCodeBERT: Pre-training Code Representations with Data Flow ICLR 2021 Graph Deformer Network IJCAI 2021 GraphDF: A Discrete Flow Model for Molecular Graph Generation ICML 2021 Graph Edit Networks ICLR 2021 Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation AAAI 2021 Graph Game Embedding AAAI 2021 Graph Heterogeneous Multi-Relational Recommendation AAAI 2021 GraphMR: Graph Neural Network for Mathematical Reasoning EMNLP 2021 GraphReach: Position-Aware Graph Neural Network using Reachability Estimations IJCAI 2021 Graph Stacked Hourglass Networks for 3D Human Pose Estimation CVPR 2021 GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction WACV 2021 Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition AAAI 2021 Graspness Discovery in Clutters for Fast and Accurate Grasp Detection ICCV 2021 Gravity-Aware Monocular 3D Human-Object Reconstruction ICCV 2021 Greedy Gradient Ensemble for Robust Visual Question Answering ICCV 2021 Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction CVPR 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021