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Found 6 papers, 4 papers with code
StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation
Knowledge distillation (KD) has been recognized as an effective tool to compress and accelerate models.
Target-agnostic Source-free Domain Adaptation for Regression Tasks
Unsupervised domain adaptation (UDA) seeks to bridge the domain gap between the target and source using unlabeled target data.
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
To build a prediction model to identify the floor number of a new RF signal upon its measurement, conventional approaches using the crowdsourced RF signals assume that at least few labeled signal samples are available on each floor.
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
To achieve faster networks, we revisit popular operators and demonstrate that such low FLOPS is mainly due to frequent memory access of the operators, especially the depthwise convolution.
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
Extensive experiments on face recognition show that TVConv reduces the computational cost by up to 3. 1x and improves the corresponding throughput by 2. 3x while maintaining a high accuracy compared to the depthwise convolution.
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
In this paper, we propose and study Wild-JDD, a novel learning framework for joint demosaicking and denoising in the wild.
