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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)

Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CoRL 2020 It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT EMNLP 2020 It Takes Two to Lie: One to Lie, and One to Listen ACL 2020 Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020 IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience AAAI 2020 Jacobian Adversarially Regularized Networks for Robustness ICLR 2020 JANE: Jointly Adversarial Network Embedding IJCAI 2020 Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020 Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation ACL 2020 JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection CVPR 2020 Joint Causal Inference from Multiple Contexts JMLR 2020 Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020 Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge ACL 2020 Joint Commonsense and Relation Reasoning for Image and Video Captioning AAAI 2020 Joint Constrained Learning for Event-Event Relation Extraction EMNLP 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing MIDL 2020 Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition Interspeech 2020 Joint Modeling of Arguments for Event Understanding EMNLP 2020 Joint Modelling of Emotion and Abusive Language Detection ACL 2020 Joint Parsing and Generation for Abstractive Summarization AAAI 2020 Joint Policy Search for Multi-agent Collaboration with Imperfect Information NeurIPS 2020 Joint Training for Simultaneous Speech Denoising and Dereverberation with Deep Embedding Representations Interspeech 2020 Joint Translation and Unit Conversion for End-to-end Localization ACL 2020 Just Add Functions: A Neural-Symbolic Language Model AAAI 2020