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Showing 1076–1100 of 5629 papers

TitleStatusHype
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models—0
CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMsCode1
Efficient Low-Resolution Face Recognition via Bridge Distillation—0
User-friendly Foundation Model Adapters for Multivariate Time Series Classification—0
Bundle Adjustment in the Eager Mode—0
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations—0
Mamba Fusion: Learning Actions Through QuestioningCode0
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyCode0
RenderWorld: World Model with Self-Supervised 3D Label—0
Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach—0
MARCA: Mamba Accelerator with ReConfigurable Architecture—0
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector RetrievalCode2
One-Shot Learning for Pose-Guided Person Image Synthesis in the WildCode1
LLM-Powered Ensemble Learning for Paper Source Tracing: A GPU-Free ApproachCode0
Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution—0
Accurate and Fast Estimation of Temporal Motifs using Path SamplingCode0
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data—0
SwinGS: Sliding Window Gaussian Splatting for Volumetric Video Streaming with Arbitrary Length—0
Super Monotonic Alignment SearchCode2
Self-Supervised Learning of Iterative Solvers for Constrained Optimization—0
Improve Machine Learning carbon footprint using Nvidia GPU and Mixed Precision training for classification models -- Part ICode0
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU—0
ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection TransformersCode0
A Cost-Aware Approach to Adversarial Robustness in Neural Networks—0
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