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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)

Prototype-Based Interpretability for Legal Citation Prediction ACL 2023 Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023 Prototypical Calibration for Few-shot Learning of Language Models ICLR 2023 Prototyping Logic-Based AI Services with LogicUS AAAI 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NeurIPS 2023 Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023 Provable Detection of Propagating Sampling Bias in Prediction Models AAAI 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provable Robustness against Wasserstein Distribution Shifts via Input Randomization ICLR 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Bounding Neural Network Preimages NeurIPS 2023 Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023 Provably Efficient Lifelong Reinforcement Learning with Linear Representation ICLR 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NeurIPS 2023 Provably Invariant Learning without Domain Information ICML 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Provably Safe Reinforcement Learning with Step-wise Violation Constraints NeurIPS 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023 Proximal Splitting Adversarial Attack for Semantic Segmentation CVPR 2023