Showing 1–20 of 27 results
/ Date/ Name
Feb 5, 2022SEED: Sound Event Early Detection via Evidential UncertaintyMar 21, 2023Time Series Contrastive Learning with Information-Aware AugmentationsJul 12, 2024PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral OptimizationFeb 17, 2025TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsMay 29, 2025Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series ForecastingJul 29, 2025DeepSieve: Information Sieving via LLM-as-a-Knowledge-RouterNov 13, 2020Learning to Drop: Robust Graph Neural Network via Topological DenoisingOct 26, 2022Personalized Federated Learning via Heterogeneous Modular NetworksMay 1, 2023Personalized Federated Learning under Mixture of DistributionsOct 3, 2023PrivacyMind: Large Language Models Can Be Contextual Privacy Protection LearnersFeb 18, 2024InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge IntegrationMar 17, 2025Multi-modal Time Series Analysis: A Tutorial and SurveyJun 13, 2023Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsSep 30, 2023Interpretable Imitation Learning with Dynamic Causal RelationsMar 26, 2021Unsupervised Document Embedding via Contrastive AugmentationMar 15, 2021Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological ConceptsOct 22, 2024Scattered Forest Search: Smarter Code Space Exploration with LLMsFeb 9, 2025MixLLM: Dynamic Routing in Mixed Large Language ModelsNov 9, 2020Parameterized Explainer for Graph Neural NetworkMar 6, 2023Dynamic Prompting: A Unified Framework for Prompt Tuning