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Showing 2851–2900 of 5629 papers

TitleStatusHype
Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs—0
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning—0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification—0
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models—0
eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems—0
Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach—0
Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review & Scopes—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition—0
EasyNet: An Easy Network for 3D Industrial Anomaly Detection—0
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization—0
EAutoDet: Efficient Architecture Search for Object Detection—0
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models—0
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS—0
Echo: Simulating Distributed Training At Scale—0
ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs—0
ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network—0
EcoNAS: Finding Proxies for Economical Neural Architecture Search—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
EDAS: Efficient and Differentiable Architecture Search—0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
EDEN: Evolutionary Deep Networks for Efficient Machine Learning—0
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference—0
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios—0
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference—0
Edge-Enabled Real-time Railway Track Segmentation—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss—0
Efficient Adversarial Attacks for Visual Object Tracking—0
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation—0
Efficient and High-Quality Neural Machine Translation with OpenNMT—0
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores—0
Efficient Automatic Meta Optimization Search for Few-Shot Learning—0
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge—0
Efficient Benchmarking of Language Models—0
Efficient Certified Defenses Against Patch Attacks on Image Classifiers—0
Efficient Deep Learning Using Non-Volatile Memory Technology—0
Efficient Differentiable Neural Architecture Search with Model Parallelism—0
Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning—0
Efficient GPU implementation of randomized SVD and its applications—0
Efficient HDR Reconstruction from Real-World Raw Images—0
Efficient Heterogeneous Video Segmentation at the Edge—0
Efficient High-Resolution Deep Learning: A Survey—0
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