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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)

Data Augmentation via Latent Diffusion for Saliency Prediction ECCV 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024 Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024 Data-driven bifurcation analysis via learning of homeomorphism L4DC 2024 Data-Driven Discovery of Design Specifications (Student Abstract) AAAI 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024 Data driven verification of positive invariant sets for discrete, nonlinear systems L4DC 2024 Data-efficient Large Vision Models through Sequential Autoregression ICML 2024 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond ICML 2024 Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems AAAI 2024 Data Engineering for Scaling Language Models to 128K Context ICML 2024 Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NeurIPS 2024 Data Filtering Networks ICLR 2024 Data-flow Availability: Achieving Timing Assurance in Autonomous Systems OSDI 2024 DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure ACML 2024 Data Free Backdoor Attacks NeurIPS 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024