This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...
Abstract: This letter presents a multi-beam digital predistorter (MB-DPD) for phased-array transmitters. MB-DPD uses a convolutional neural network (CNN) to compensate for nonlinear distortions, ...
Abstract: Whole slide image (WSI) classification faces challenges due to gigapixel scale and weak supervision, often struggling to balance global context with local details. We propose CoMIL, a ...
Abstract: As a typical blue carbon ecosystem, mangroves play a vital role in the global carbon cycle and coastal ecological security. Accurately estimating their aboveground biomass (AGB) is crucial ...
Add Yahoo as a preferred source to see more of our stories on Google. Amid widespread disapproval of the attacks, Trump and his top officials and allies have offered a blizzard of different messages ...
Add Yahoo as a preferred source to see more of our stories on Google. CNN GOP analyst Scott Jennings got an earful from anchor Abby Phillip and another panelist when he asked for an example of ...
CNN GOP analyst Scott Jennings got an earful from anchor Abby Phillip and another panelist when he asked for an example of President Donald Trump giving contradictory statements about his Iran war.
Abstract: In collaborative inference scenarios, semantic communication replaces raw data transmission by conveying task-oriented semantic features to improve bandwidth efficiency. However, under noisy ...
Pressure is mounting publicly and privately for entertainment mogul Casey Wasserman to step down as chair of the 2028 Los Angeles Olympics following a series of embarrassing and salacious emails with ...
Abstract: Transfer-based adversarial attacks are key for evaluating the robustness of deep neural networks (DNNs) in black-box settings, yet their effectiveness is often constrained by limited ...
Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...