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Showing 676–700 of 2231 papers

TitleStatusHype
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees—0
Predicting the Impact of Batch Refactoring Code Smells on Application Resource Consumption—0
Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection—0
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer InferenceCode1
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices—0
Computron: Serving Distributed Deep Learning Models with Model Parallel SwappingCode0
Implementing contextual biasing in GPU decoder for online ASRCode1
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs—0
Pushing the Limits of Machine Design: Automated CPU Design with AICode0
FFCV: Accelerating Training by Removing Data BottlenecksCode4
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs—0
Dynamic Perceiver for Efficient Visual RecognitionCode1
Co-design Hardware and Algorithm for Vector SearchCode1
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications—0
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust ControlCode2
ExoMDN: Rapid characterization of exoplanet interior structures with Mixture Density NetworksCode1
Neural Network Compression using Binarization and Few Full-Precision Weights—0
Audio Tagging on an Embedded Hardware PlatformCode1
[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons—0
Datasets and Benchmarks for Offline Safe Reinforcement LearningCode2
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma—0
Machine Learning Based Missing Values Imputation in Categorical Datasets—0
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and RepresentationCode1
Modulation Classification Through Deep Learning Using Resolution Transformed Spectrograms—0
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