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Showing 901–925 of 2231 papers

TitleStatusHype
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models—0
Field-Programmable Deep Neural Network (DNN) Learning and Inference accelerator: a concept—0
FiltPIM: In-Memory Filter for DNA Sequencing—0
Findings of the WMT 2021 Shared Task on Efficient Translation—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
A Convolutional Neural Network Cascade for Face Detection—0
Finite Element Method for HJB in Option Pricing with Stock Borrowing Fees—0
GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm—0
Fire SSD: Wide Fire Modules based Single Shot Detector on Edge Device—0
GPU accelerated matrix factorization of large scale data using block based approach—0
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism—0
Fixed-Point Back-Propagation Training—0
FLaaS: Federated Learning as a Service—0
FLaME: Fast Lightweight Mesh Estimation Using Variational Smoothing on Delaunay Graphs—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
FlashRL: A Reinforcement Learning Platform for Flash Games—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Flexible Techniques for Differentiable Rendering with 3D Gaussians—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
FLIC: Fast Linear Iterative Clustering with Active Search—0
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training—0
FloE: On-the-Fly MoE Inference on Memory-constrained GPU—0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms—0
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