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Showing 3351–3400 of 5629 papers

TitleStatusHype
A Survey on Patch-based Synthesis: GPU Implementation and Optimization—0
Asynchronous SGD without gradient delay for efficient distributed training—0
AsyncTaichi: On-the-fly Inter-kernel Optimizations for Imperative and Spatially Sparse Programming—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction—0
Atmospheric turbulence removal using convolutional neural network—0
A Tool for Neural Network Global Robustness Certification and Training—0
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law—0
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data—0
Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention—0
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking—0
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain—0
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation—0
Augmented Electronic Ising Machine as an Effective SAT Solver—0
Augur: a Modeling Language for Data-Parallel Probabilistic Inference—0
Augur: Data-Parallel Probabilistic Modeling—0
A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars—0
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORA—0
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models—0
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks—0
AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras—0
Auto-Differentiating Linear Algebra—0
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling—0
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification—0
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs—0
Automated 3D Physical Simulation of Open-world Scene with Gaussian Splatting—0
Automated Architecture Design for Deep Neural Networks—0
Automated Backend-Aware Post-Training Quantization—0
Automated Channel Pruning with Learned Importance—0
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning—0
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning—0
Automated Quality Control System for Canned Tuna Production using Artificial Vision—0
Automated Road Safety: Enhancing Sign and Surface Damage Detection with AI—0
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4—0
Automated Text Scoring in the Age of Generative AI for the GPU-poor—0
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images—0
Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm—0
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery—0
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network—0
Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement—0
Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach—0
Automating Neural Architecture Design without Search—0
AutoML for Multilayer Perceptron and FPGA Co-design—0
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents—0
A Variant of Concurrent Constraint Programming on GPU—0
Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving—0
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis—0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
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