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TitleStatusHype
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning—0
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning—0
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images—0
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing—0
Dual-module Inference for Efficient Recurrent Neural Networks—0
DualSep: A Light-weight dual-encoder convolutional recurrent network for real-time in-car speech separation—0
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis—0
Dynamic detection of mobile malware using smartphone data and machine learning—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—0
Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments—0
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques—0
Dynamic Superblock Pruning for Fast Learned Sparse Retrieval—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
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge—0
DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks—0
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors—0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models—0
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