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Showing 28762900 of 5629 papers

TitleStatusHype
Online Training Through Time for Spiking Neural NetworksCode1
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPUCode0
Leveraging progressive model and overfitting for efficient learned image compression0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models0
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage0
Cloud Native Robotic Applications with GPU Sharing on Kubernetes0
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length InputsCode2
DreamShard: Generalizable Embedding Table Placement for Recommender SystemsCode1
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption0
Streaming Video Analytics On The Edge With Asynchronous Cloud Support0
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning0
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
MSRL: Distributed Reinforcement Learning with Dataflow Fragments0
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP0
NeuroEvo: A Cloud-based Platform for Automated Design and Training of Neural Networks using Evolutionary and Particle Swarm Algorithms0
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need0
An In-depth Study of Stochastic BackpropagationCode1
Graph Neural Networks for Link Prediction with Subgraph SketchingCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving0
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight AveragingCode1
Lightweight Monocular Depth Estimation with an Edge Guided Network0
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Efficient block contrastive learning via parameter-free meta-node approximationCode0
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy PhysicsCode1
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