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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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'25

Papers (including subtopics)

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory ICLR 2022 Reinforcement Learning with a Terminator NeurIPS 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Reinforcement Learning with Non-Exponential Discounting NeurIPS 2022 Reinforcement Learning with Stochastic Reward Machines AAAI 2022 Relating the fundamental frequency of speech with EEG using a dilated convolutional network Interspeech 2022 Relating transformers to models and neural representations of the hippocampal formation ICLR 2022 Relational Causal Models with Cycles: Representation and Reasoning CLeaR 2022 Relational Neural Markov Random Fields AISTATS 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction ACL 2022 RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning EMNLP 2022 Relevance for Robust Bayesian Network MAP-Explanations PGM 2022 Relevant CommonSense Subgraphs for “What if...” Procedural Reasoning ACL 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 Reliable Propagation-Correction Modulation for Video Object Segmentation AAAI 2022 Reliable Visualization for Deep Speaker Recognition Interspeech 2022 Remember Intentions: Retrospective-Memory-Based Trajectory Prediction CVPR 2022 Removing Batch Normalization Boosts Adversarial Training ICML 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Representing Spatial Trajectories as Distributions NeurIPS 2022 Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence AAAI 2022 Reproducibility in Computational Linguistics: Is Source Code Enough? EMNLP 2022 RES: An Interpretable Replicability Estimation System for Research Publications AAAI 2022