Summary of Deep Learning in Image Classification: Evaluating Vgg19’s Performance on Complex Visual Data, by Weijie He et al.
Deep Learning in Image Classification: Evaluating VGG19’s Performance on Complex Visual Databy Weijie He, Tong…
Summary of Data-free Group-wise Fully Quantized Winograd Convolution Via Learnable Scales, by Shuokai Pan et al.
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scalesby Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram,…
Summary of Asymmetrical Reciprocity-based Federated Learning For Resolving Disparities in Medical Diagnosis, by Jiaqi Wang et al.
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosisby Jiaqi Wang, Ziyi Yin, Quanzeng…
Summary of An In-depth Analysis Of Adversarial Discriminative Domain Adaptation For Digit Classification, by Eugene Choi et al.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classificationby Eugene Choi, Julian Rodriguez,…
Summary of Torque-aware Momentum, by Pranshu Malviya et al.
Torque-Aware Momentumby Pranshu Malviya, Goncalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Gintare Karolina Dziugaite, Razvan…
Summary of Beyond Gradient Averaging in Parallel Optimization: Improved Robustness Through Gradient Agreement Filtering, by Francois Chaubard et al.
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filteringby Francois Chaubard, Duncan…
Summary of Cobra: Combinatorial Retrieval Augmentation For Few-shot Learning, by Arnav M. Das et al.
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learningby Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil…
Summary of Hyperclip: Adapting Vision-language Models with Hypernetworks, by Victor Akinwande et al.
HyperCLIP: Adapting Vision-Language models with Hypernetworksby Victor Akinwande, Mohammad Sadegh Norouzzadeh, Devin Willmott, Anna Bair,…
Summary of Batch Selection For Multi-label Classification Guided by Uncertainty and Dynamic Label Correlations, By Ao Zhou and Bin Liu and Jin Wang and Grigorios Tsoumakas
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlationsby Ao Zhou, Bin…
Summary of Learn: a Unified Framework For Multi-task Domain Adapt Few-shot Learning, by Bharadwaj Ravichandran et al.
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learningby Bharadwaj Ravichandran, Alexander Lynch, Sarah…