Showing 1–20 of 80 results
/ Date/ Name
Oct 2, 2021Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal DataSep 26, 2021Cluster Analysis with Deep Embeddings and Contrastive LearningSep 30, 2023Bridging the Gap Between Foundation Models and Heterogeneous Federated LearningMay 19, 2023Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large ModelsApr 7, 2023ParaGraph: Weighted Graph Representation for Performance Optimization of HPC KernelsJun 13, 2021Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive GradientSep 26, 2019Visual Exploration and Energy-aware Path Planning via Reinforcement LearningJul 14, 2019Automatic Repair and Type Binding of Undeclared Variables using Neural NetworksNov 11, 2023CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code DatasetFeb 22, 2023Power Constrained Autotuning using Graph Neural NetworksDec 29, 2023LEFL: Low Entropy Client Sampling in Federated LearningMay 31, 2023PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program AnalysisOct 9, 2020HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data AnalysisMay 30, 2019Efficient Object Detection Model for Real-Time UAV ApplicationsOct 6, 2023AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMsDec 13, 2022Towards Seamless Management of AI Models in High-Performance ComputingAug 9, 2023Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT BenchmarkDec 16, 2022Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processingJan 25, 2023Accelerating Domain-aware Deep Learning Models with Distributed TrainingApr 10, 2023GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary and Source Code Matching