Summary of Tiny Machine Learning: Progress and Futures, by Ji Lin et al.
Tiny Machine Learning: Progress and Futuresby Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song…
Summary of Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: a Bayesian Deep Learning Approach, by Pei Xi (alex) Lin
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approachby…
Summary of D’oh: Decoder-only Random Hypernetworks For Implicit Neural Representations, by Cameron Gordon et al.
D’OH: Decoder-Only Random Hypernetworks for Implicit Neural Representationsby Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran,…
Summary of Imagenet-d: Benchmarking Neural Network Robustness on Diffusion Synthetic Object, by Chenshuang Zhang et al.
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Objectby Chenshuang Zhang, Fei Pan, Junmo Kim,…
Summary of Sugarcanenet: An Optimized Ensemble Of Lasso-regularized Pre-trained Models For Accurate Disease Classification, by Md. Simul Hasan Talukder et al.
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classificationby Md. Simul Hasan…
Summary of Structurally Prune Anything: Any Architecture, Any Framework, Any Time, by Xun Wang et al.
Structurally Prune Anything: Any Architecture, Any Framework, Any Timeby Xun Wang, John Rachwan, Stephan Günnemann,…
Summary of Physics-informed Graph Neural Networks For Water Distribution Systems, by Inaam Ashraf et al.
Physics-Informed Graph Neural Networks for Water Distribution Systemsby Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara…
Summary of Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (clop), by Huanran Li et al.
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)by Huanran Li, Manh Nguyen, Daniel Pimentel-AlarcónFirst…
Summary of Energy-guided Data Sampling For Traffic Prediction with Mini Training Datasets, by Zhaohui Yang et al.
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasetsby Zhaohui Yang, Kshitij JerathFirst submitted…
Summary of Semi-supervised Learning For Deep Causal Generative Models, by Yasin Ibrahim et al.
Semi-Supervised Learning for Deep Causal Generative Modelsby Yasin Ibrahim, Hermione Warr, Konstantinos KamnitsasFirst submitted to…