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Showing 3051–3100 of 5629 papers

TitleStatusHype
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning—0
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time—0
4K4D: Real-Time 4D View Synthesis at 4K Resolution—0
5G Utility Pole Planner Using Google Street View and Mask R-CNN—0
6D Object Pose Estimation without PnP—0
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks—0
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid—0
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework—0
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing—0
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks—0
A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet)—0
ABS-SGD: A Delayed Synchronous Stochastic Gradient Descent Algorithm with Adaptive Batch Size for Heterogeneous GPU Clusters—0
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL—0
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows—0
Accelerated CNN Training Through Gradient Approximation—0
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture—0
Accelerated Fingerprint Enhancement: A GPU-Optimized Mixed Architecture Approach—0
Accelerated Generative Models for 3D Point Cloud Data—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN—0
Accelerated Training on Low-Power Edge Devices—0
Accelerating Clinical NLP at Scale with a Hybrid Framework with Reduced GPU Demands: A Case Study in Dementia Identification—0
Accelerating Deep Learning Applications in Space—0
Accelerating Deep Learning with Millions of Classes—0
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity—0
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks—0
Accelerating DNN Training in Wireless Federated Edge Learning Systems—0
Accelerating DNN Training through Selective Localized Learning—0
Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling—0
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization—0
Accelerating GAN training using highly parallel hardware on public cloud—0
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design—0
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100 speed-up—0
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?—0
Accelerating Image Generation with Sub-path Linear Approximation Model—0
Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations—0
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths—0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
Accelerating Large Language Model Training with Hybrid GPU-based Compression—0
Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator—0
Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform—0
Accelerating Laue Depth Reconstruction Algorithm with CUDA—0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity—0
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
Accelerating Mixture-of-Experts Training with Adaptive Expert Replication—0
Accelerating MoE Model Inference with Expert Sharding—0
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network—0
Accelerating Multi-Model Inference by Merging DNNs of Different Weights—0
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud—0
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