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Showing 2651–2700 of 5629 papers

TitleStatusHype
SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms—0
Pipe-BD: Pipelined Parallel Blockwise DistillationCode1
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary ComputationCode4
Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators—0
Exploring Attention Map Reuse for Efficient Transformer Neural Networks—0
AudioLDM: Text-to-Audio Generation with Latent Diffusion ModelsCode4
Cross-domain Neural Pitch and Periodicity EstimationCode2
Moûsai: Text-to-Music Generation with Long-Context Latent DiffusionCode4
Fast Region of Interest Proposals on Maritime UAVs—0
GPU-based Private Information Retrieval for On-Device Machine Learning InferenceCode1
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation—0
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on GradientsCode1
On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems—0
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the EdgeCode1
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression—0
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) DistributionsCode0
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP—0
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction—0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation—0
Predicting Surface Texture in Steel Manufacturing at SpeedCode0
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks—0
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention ManipulationCode1
Spatially Covariant Lesion Segmentation—0
Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference—0
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applicationsCode0
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss—0
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training—0
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA—0
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures—0
Quantum-inspired tensor network for Earth science—0
Failure Tolerant Training with Persistent Memory Disaggregation over CXL—0
YOLOv6 v3.0: A Full-Scale ReloadingCode5
ImMesh: An Immediate LiDAR Localization and Meshing FrameworkCode2
Reaching the Edge of the Edge: Image Analysis in Space—0
Pruning Compact ConvNets for Efficient Inference—0
Blockchain For Mobile Health Applications: Acceleration With GPU Computing—0
Orbit: A Unified Simulation Framework for Interactive Robot Learning EnvironmentsCode5
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain—0
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition—0
Deep Learning For Classification Of Chest X-Ray Images (Covid 19)—0
Towards a Pipeline for Real-Time Visualization of Faces for VR-based Telepresence and Live Broadcasting Utilizing Neural RenderingCode0
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA—0
GPU accelerated matrix factorization of large scale data using block based approach—0
Extensible and Efficient Proxy for Neural Architecture Search—0
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction—0
Minimal Solutions to Generalized Three-View Relative Pose Problem—0
uSplit: Image Decomposition for Fluorescence MicroscopyCode0
Network Expansion for Practical Training Acceleration—0
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation—0
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action LocalizationCode0
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