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Showing 3151–3160 of 5629 papers
Title
Date
Tasks
Status
Hype
Score
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning
Jul 13, 2020
GPU
image-classification
—
Unverified
0
0
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
Mar 10, 2025
GPU
Super-Resolution
—
Unverified
0
0
A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks
Sep 17, 2019
GPU
—
Unverified
0
0
Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
Jul 29, 2023
Deep Learning
Ensemble Learning
—
Unverified
0
0
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference
Nov 25, 2024
CPU
GPU
—
Unverified
0
0
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
Oct 9, 2024
GPU
—
Unverified
0
0
Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction
May 2, 2024
Collision Avoidance
GPU
—
Unverified
0
0
A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management
Mar 21, 2021
GPU
Management
—
Unverified
0
0
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters
Aug 30, 2022
AutoML
GPU
—
Unverified
0
0
A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
Jun 5, 2024
Anomaly Detection
Benchmarking
—
Unverified
0
0
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