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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
'5
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'25

Papers (including subtopics)

Out-of-Distribution Detection and Selective Generation for Conditional Language Models ICLR 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 Out-of-Distribution Detection Is Not All You Need AAAI 2023 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 Out-of-Distribution Detection With Reconstruction Error and Typicality-Based Penalty WACV 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Outsourcing Adjudication to Strategic Jurors IJCAI 2023 Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023 Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context UAI 2023 Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability CVPR 2023 Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining EMNLP 2023 Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles ACL 2023 Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization ACL 2023 OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data CoRL 2023 OVTrack: Open-Vocabulary Multiple Object Tracking CVPR 2023 OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? ICCV 2023 P5: Plug-and-Play Persona Prompting for Personalized Response Selection EMNLP 2023 PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization NeurIPS 2023 PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts ACL 2023 PAC Generalization via Invariant Representations ICML 2023 PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. AAAI 2023 PAC-learning for Strategic Classification JMLR 2023 PACO: Parts and Attributes of Common Objects CVPR 2023 PAC Prediction Sets for Large Language Models of Code ICML 2023 PAC Reinforcement Learning for Predictive State Representations ICLR 2023