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Showing 3851–3875 of 5629 papers

TitleStatusHype
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing—0
Distributed Graph Neural Network Training: A Survey—0
Distributed Kernel K-Means for Large Scale Clustering—0
Distributed Low Precision Training Without Mixed Precision—0
Distributed Matrix-Based Sampling for Graph Neural Network Training—0
Distributed Multigrid Neural Solvers on Megavoxel Domains—0
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators—0
Distributed Training of Deep Learning Models: A Taxonomic Perspective—0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
Distributed U-net model and Image Segmentation for Lung Cancer Detection—0
Distribution-aware Dataset Distillation for Efficient Image Restoration—0
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training—0
Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays—0
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud—0
dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures—0
dMath: Distributed Linear Algebra for DL—0
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model—0
dnaGrinder: a lightweight and high-capacity genomic foundation model—0
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning—0
Do Bayesian imaging methods report trustworthy probabilities?—0
Do better language models have crisper vision?—0
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration—0
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning—0
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
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