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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing ICCV 2023 Fault Injection Based Interventional Causal Learning for Distributed Applications AAAI 2023 Fault-Tolerant Offline Multi-Agent Path Planning AAAI 2023 FBLNet: FeedBack Loop Network for Driver Attention Prediction ICCV 2023 FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering ACL 2023 FC-MTLF: A Fine- and Coarse-grained Multi-Task Learning Framework for Cross-Lingual Spoken Language Understanding Interspeech 2023 FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains AAAI 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 Feature Interactions Reveal Linguistic Structure in Language Models ACL 2023 Feature Learning for Interpretable, Performant Decision Trees NeurIPS 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023 Feature Separation and Recalibration for Adversarial Robustness CVPR 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 Federated Graph Semantic and Structural Learning IJCAI 2023 Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification EMNLP 2023 Federated Nearest Neighbor Machine Translation ICLR 2023 Federated Neural Bandits ICLR 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NeurIPS 2023 FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning EMNLP 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023 FELM: Benchmarking Factuality Evaluation of Large Language Models NeurIPS 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 FERMAT: An Alternative to Accuracy for Numerical Reasoning ACL 2023