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TitleStatusHype
User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems—0
Partially Distributed Beamforming Design for RIS-Aided Cell-Free Networks—0
A Frequency-aware Software Cache for Large Recommendation System EmbeddingsCode0
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object DetectionCode1
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining—0
Streaming-capable High-performance Architecture of Learned Image Compression CodecsCode0
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design—0
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning—0
Evaluating the Practicality of Learned Image Compression—0
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning—0
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
Large-displacement 3D Object Tracking with Hybrid Non-local OptimizationCode1
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural NetworksCode0
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation—0
HybMT: Hybrid Meta-Predictor based ML Algorithm for Fast Test Vector Generation—0
COBRA: Cpu-Only aBdominal oRgan segmentAtion—0
LPYOLO: Low Precision YOLO for Face Detection on FPGACode1
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome AnalysisCode1
A Variant of Concurrent Constraint Programming on GPU—0
ORB-based SLAM accelerator on SoC FPGA—0
Associative Memory Based Experience Replay for Deep Reinforcement Learning—0
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory SystemCode1
Optimizing Data Collection in Deep Reinforcement Learning—0
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets—0
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