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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)

Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks COLING 2020 Uncertainty Quantification for Inferring Hawkes Networks NeurIPS 2020 Uncertainty Quantification for Sparse Deep Learning AISTATS 2020 Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations CVPR 2020 Understanding Advertisements with BERT ACL 2020 Understanding Alzheimer disease’s structural connectivity through explainable AI MIDL 2020 Understanding and Improving Fast Adversarial Training NeurIPS 2020 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020 Understanding Attention for Text Classification ACL 2020 Understanding Global Feature Contributions With Additive Importance Measures NeurIPS 2020 Understanding Knowledge Distillation in Non-autoregressive Machine Translation ICLR 2020 Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020 Understanding Points of Correspondence between Sentences for Abstractive Summarization ACL 2020 Understanding Pre-trained BERT for Aspect-based Sentiment Analysis COLING 2020 Understanding Racial Disparities in Automatic Speech Recognition: The Case of Habitual “be” Interspeech 2020 Understanding tables with intermediate pre-training EMNLP 2020 Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020 Understanding the Limitations of Conditional Generative Models ICLR 2020 Understanding User Resistance Strategies in Persuasive Conversations EMNLP 2020 Unearthing inter-job dependencies for better cluster scheduling OSDI 2020 Unfolding recurrence by Green’s functions for optimized reservoir computing NeurIPS 2020 Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training AAAI 2020 UniPose: Unified Human Pose Estimation in Single Images and Videos CVPR 2020 Universal Adversarial Training AAAI 2020 Universal Approximation with Certified Networks ICLR 2020