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Found 9 papers, 2 papers with code
Generative Model-based Simulation of Driver Behavior when Using Control Input Interface for Teleoperated Driving in Unstructured Canyon Terrains
Then, we design and implement the simulation models based on a conditional variational autoencoder (CVAE).
Machining feature recognition using descriptors with range constraints for mechanical 3D models
Machining feature recognition tests were conducted for two test cases using the proposed method, and all machining features included in the test cases were successfully recognized.
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
To solve this problem, we propose LSQ+, a natural extension of LSQ, wherein we introduce a general asymmetric quantization scheme with trainable scale and offset parameters that can learn to accommodate the negative activations.
Ranked #18 on
Quantization
on ImageNet
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
To address this standing issue, we present a memory-aware compiler, dubbed SERENITY, that utilizes dynamic programming to find a sequence that finds a schedule with optimal memory footprint.
Learned Threshold Pruning
This is in contrast to other methods that search for per-layer thresholds via a computationally intensive iterative pruning and fine-tuning process.
QKD: Quantization-aware Knowledge Distillation
First, Self-studying (SS) phase fine-tunes a quantized low-precision student network without KD to obtain a good initialization.
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Through analysis of the characteristics of CNN, we find that placement of layers can be done in an effective manner.
Distributed, Parallel, and Cluster Computing
Automatic Grammar Augmentation for Robust Voice Command Recognition
For a given grammar set, a set of potential grammar expressions (candidate set) for augmentation is constructed from an AM-specific statistical pronunciation dictionary that captures the consistent patterns and errors in the decoding of AM induced by variations in pronunciation, pitch, tempo, accent, ambiguous spellings, and noise conditions.
A Fully Convolutional Neural Network for Speech Enhancement
In hearing aids, the presence of babble noise degrades hearing intelligibility of human speech greatly.
