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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)

Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance ACML 2024 Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper EMNLP 2024 Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization ICML 2024 Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NeurIPS 2024 FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation EMNLP 2024 FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text AAAI 2024 FBK@IWSLT Test Suites Task: Gender Bias evaluation with MuST-SHE ACL 2024 Feasible Q-Learning for Average Reward Reinforcement Learning AISTATS 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024 Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation ICML 2024 Feature emergence via margin maximization: case studies in algebraic tasks ICLR 2024 Feature Importance Disparities for Data Bias Investigations ICML 2024 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models ICML 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ICLR 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Automatic Differentiation JMLR 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NeurIPS 2024 Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024