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Showing 1051–1060 of 2231 papers
Title
Date
Tasks
Status
Hype
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Jul 31, 2022
BIG-bench Machine Learning
CPU
—
Unverified
0
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Aug 27, 2020
CPU
—
Unverified
0
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud
Apr 4, 2023
CPU
GPU
—
Unverified
0
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
May 30, 2023
CPU
Morphological Analysis
—
Unverified
0
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis
Apr 13, 2025
CPU
GPU
—
Unverified
0
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
Nov 18, 2019
Benchmarking
CPU
—
Unverified
0
A Compilation Flow for the Generation of CNN Inference Accelerators on FPGAs
Mar 8, 2022
CPU
High-Level Synthesis
—
Unverified
0
A Web-Based Solution for Federated Learning with LLM-Based Automation
Aug 23, 2024
CPU
Federated Learning
—
Unverified
0
Divide and Conquer for Full-Resolution Light Field Deblurring
Jun 1, 2018
CPU
Deblurring
—
Unverified
0
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
Mar 26, 2024
CPU
GPU
—
Unverified
0
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