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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)

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NeurIPS 2023 Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023 Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023 Probabilistic Programs as an Action Description Language AAAI 2023 Probabilistic Prompt Learning for Dense Prediction CVPR 2023 Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models L4DC 2023 Probabilistic Symmetry for Multi-Agent Dynamics L4DC 2023 Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023 Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation ACL 2023 Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions EMNLP 2023 Probabilistic Verification of ReLU Neural Networks via Characteristic Functions L4DC 2023 Probabilistic Volumetric Fusion for Dense Monocular SLAM WACV 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning AAAI 2023 Probing Graph Representations AISTATS 2023 Probing LLMs for hate speech detection: strengths and vulnerabilities EMNLP 2023 Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023 Probing neural language models for understanding of words of estimative probability ACL 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Probing Physical Reasoning with Counter-Commonsense Context ACL 2023