:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lautrup, Anton Danholt, Hyrup, Tobias, Zimek, Arthur, Schneider-Kamp, Peter
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Performance
Online Access:	https://arxiv.org/abs/2404.15821
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data
by: Hyrup, Tobias, et al.
Published: (2023)

Disjoint Generative Models
by: Lautrup, Anton Danholt, et al.
Published: (2025)

FSDEM: Feature Selection Dynamic Evaluation Metric
by: Rajabinasab, Muhammad, et al.
Published: (2024)

Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation -- Extended Version
by: Rajabinasab, Muhammad, et al.
Published: (2025)

Achieving Hilbert-Schmidt Independence Under Rényi Differential Privacy for Fair and Private Data Generation
by: Hyrup, Tobias, et al.
Published: (2025)

Tabular and Deep Reinforcement Learning for Gittins Index
by: Dhankhar, Harshit, et al.
Published: (2024)

TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
by: Griesbauer, Elisabeth, et al.
Published: (2025)

Randomized PCA Forest for Unsupervised Outlier Detection
by: Rajabinasab, Muhammad, et al.
Published: (2025)

Single-Thread JPEG Decoder Benchmarks Mis-Evaluate ML Data Loaders
by: Iglovikov, Vladimir, et al.
Published: (2026)

FSEVAL: Feature Selection Evaluation Toolbox and Dashboard
by: Rajabinasab, Muhammad, et al.
Published: (2026)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs
by: Duan, Shukai, et al.
Published: (2024)

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
by: Wang, Han, et al.
Published: (2026)

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework
by: Estevez, Melissa, et al.
Published: (2025)

Towards an Integrated Performance Framework for Fire Science and Management Workflows
by: Ahmed, H., et al.
Published: (2024)

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)

U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT
by: Huang, Zhaolan, et al.
Published: (2023)

MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision Models
by: Chitty-Venkata, Krishna Teja, et al.
Published: (2025)

Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept
by: Lansiaux, Edouard, et al.
Published: (2025)

An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors
by: Wu, Xingfu, et al.
Published: (2024)

Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data
by: Wang, Can, et al.
Published: (2024)

Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask
by: Abraham, Ashley N., et al.
Published: (2026)

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
by: Dai, Yan, et al.
Published: (2024)

VDTuner: Automated Performance Tuning for Vector Data Management Systems
by: Yang, Tiannuo, et al.
Published: (2024)

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
by: Zhang, Tim, et al.
Published: (2022)

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms
by: Chen, Feiyang, et al.
Published: (2025)

Prefetching Cache Optimization Using Graph Neural Networks: A Modular Framework and Conceptual Analysis
by: Qowy, F. I.
Published: (2025)

LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
by: Merouani, Massinissa, et al.
Published: (2025)

CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
by: Sun, Wenbo, et al.
Published: (2024)

Machine Learning Methods for Evaluating Public Crisis: Meta-Analysis
by: Okpala, Izunna, et al.
Published: (2023)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models
by: Ahmed, Ammar, et al.
Published: (2025)

A Scalable k-Medoids Clustering via Whale Optimization Algorithm
by: Chenan, Huang, et al.
Published: (2024)

A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
by: Beseda, Martin, et al.
Published: (2025)

Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach
by: Zhang, Yijia, et al.
Published: (2024)

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
by: Li, Jianhui, et al.
Published: (2023)

SAfEPaTh: A System-Level Approach for Efficient Power and Thermal Estimation of Convolutional Neural Network Accelerator
by: Chen, Yukai, et al.
Published: (2024)

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
by: Ward, Joshua, et al.
Published: (2025)

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
by: Bührer, Simon, et al.
Published: (2026)

Performance Modeling of Data Storage Systems using Generative Models
by: Al-Maeeni, Abdalaziz Rashid, et al.
Published: (2023)

Risk-Aware Batch Testing for Performance Regression Detection
by: Sayedsalehi, Ali, et al.
Published: (2026)

Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series KMeans Clustering and Multi-Criteria Decision Making
by: Howard, Daniel Anthony, et al.
Published: (2024)