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Found 8 papers, 2 papers with code
A Tractable Truthful Profit Maximization Mechanism Design with Autonomous Agents
Task allocation is a crucial process in modern systems, but it is often challenged by incomplete information about the utilities of participating agents.
$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
The main shortcoming of DARTS is performance collapse, where the discovered architecture suffers from a pattern of declining quality during search.
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
According to the explained smoothness concept, a shapeless distance-based smoothness index is proposed for regression problems.
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
We present a simple and effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed.
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
We conducted two sets of experiments based on two different protocols of OSV, i. e., writer-dependent and writer-independent on three signature datasets: GPDS-Synthetic, MCYT, and UT-SIG.
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach
Our proposed OSV system includes two steps: learning representation and verification of the input signature.
Active Transfer Learning for Persian Offline Signature Verification
We benefit from transfer learning using a pre-trained CNN for feature learning.
UTSig: A Persian Offline Signature Dataset
This paper introduces a new and public Persian offline signature dataset, UTSig, that consists of 8280 images from 115 classes.
