SOTAVerified

CPU

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 2231 papers

TitleStatusHype
Sliding Window Sum Algorithms for Deep Neural Networks—0
Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics—0
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing—0
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching—0
XFormer: Fast and Accurate Monocular 3D Body Capture—0
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces—0
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU—0
Accelerator-Aware Training for Transducer-Based Speech Recognition—0
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group AttentionCode0
Active Semantic Localization with Graph Neural Embedding—0
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems—0
AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty—0
Analyzing In-browser Cryptojacking—0
Optimizing Deep Learning Models For Raspberry PiCode0
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications—0
Exploring shared memory architectures for end-to-end gigapixel deep learning—0
Deep Convolutional Tables: Deep Learning without Convolutions—0
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale—0
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables—0
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices—0
STen: Productive and Efficient Sparsity in PyTorch—0
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUsCode0
MAC, a novel stochastic optimization method—0
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning—0
Gradient-Free Textual Inversion—0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration—0
Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM—0
ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels—0
Patch-wise Features for Blur Image Classification—0
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud—0
MobileInst: Video Instance Segmentation on the Mobile—0
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU HardwareCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Robust Outdoor Positioning via Ray Tracing—0
Efficient Multi-stage Inference on Tabular Data—0
Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models—0
cito: An R package for training neural networks using torchCode0
Adapting U-Net for linear elastic stress estimation in polycrystal Zr microstructures—0
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems—0
Light Unbalanced Optimal Transport—0
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose—0
Real-Time Audio-Visual End-to-End Speech Enhancement—0
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference—0
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes—0
EPAM: A Predictive Energy Model for Mobile AI—0
BenchDirect: A Directed Language Model for Compiler Benchmarks—0
In search of the most efficient and memory-saving visualization of high dimensional data—0
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation—0
Bus Admittance Matrix Revisited: Is It Outdated on Modern Computers?—0
Show:102550
← PrevPage 21 of 45Next →

No leaderboard results yet.