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TitleStatusHype
Rieoptax: Riemannian Optimization in JAXCode0
Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios0
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials0
Deep Learning Inference Frameworks BenchmarkCode0
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPUCode0
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage0
MSRL: Distributed Reinforcement Learning with Dataflow Fragments0
Wide Attention Is The Way Forward For Transformers?0
RISC-V Toolchain and Agile Development based Open-source Neuromorphic Processor0
A forensic analysis of the Google Home: repairing compressed data without error correctionCode0
Fast Topological Signal Identification and Persistent Cohomological Cycle MatchingCode0
An efficient encoder-decoder architecture with top-down attention for speech separationCode2
Joint Optimization of Energy Consumption and Completion Time in Federated Learning0
Methodical Approach for Centralization Evaluation of Modern Automotive E/E Architectures0
A GPU-accelerated Algorithm for Distinct Discriminant Canonical Correlation Network0
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater RobotsCode1
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case0
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
Google Coral-based edge computing person reidentification using human parsing combined with analytical method0
Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPUCode0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design0
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography0
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud0
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