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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)

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 2025 Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing ACL 2025 DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease AAAI 2025 DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders CVPR 2025 Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference WACV 2025 Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning IJCAI 2025 DEEM: Diffusion models serve as the eyes of large language models for image perception ICLR 2025 DEEP: an automatic bidirectional translator leveraging an ASR for translation of Italian sign language ACL 2025 Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models EMNLP 2025 DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025 DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025 DeepCrossAttention: Supercharging Transformer Residual Connections ICML 2025 DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling ACL 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025 DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries IJCAI 2025 Deep Fuzzy Multi-view Learning for Reliable Classification ICML 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings AAAI 2025 Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework IJCAI 2025 Deep Linear Probe Generators for Weight Space Learning ICLR 2025 DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL ICLR 2025 DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning ICCV 2025 Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025