Summary of Class Incremental Learning with Probability Dampening and Cascaded Gated Classifier, by Jary Pomponi et al.
Class incremental learning with probability dampening and cascaded gated classifierby Jary Pomponi, Alessio Devoto, Simone…
Summary of Teddy: Trimming Edges with Degree-based Discrimination Strategy, by Hyunjin Seo et al.
TEDDY: Trimming Edges with Degree-based Discrimination strategYby Hyunjin Seo, Jihun Yun, Eunho YangFirst submitted to…
Summary of Spiking Centernet: a Distillation-boosted Spiking Neural Network For Object Detection, by Lennard Bodden et al.
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detectionby Lennard Bodden, Franziska Schwaiger, Duc…
Summary of Towards An Algebraic Framework For Approximating Functions Using Neural Network Polynomials, by Shakil Rafi et al.
Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomialsby Shakil Rafi, Joshua Lee…
Summary of Fedshift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment Via Weight Shifting, by Jungwon Seo et al.
FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shiftingby Jungwon Seo,…
Summary of Chameleon: Foundation Models For Fairness-aware Multi-modal Data Augmentation to Enhance Coverage Of Minorities, by Mahdi Erfanian and H. V. Jagadish and Abolfazl Asudeh
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minoritiesby Mahdi Erfanian,…
Summary of Dosegnn: Improving the Performance Of Deep Learning Models in Adaptive Dose-volume Histogram Prediction Through Graph Neural Networks, by Zehao Dong et al.
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph…
Summary of Recent Advances in Predictive Modeling with Electronic Health Records, by Jiaqi Wang et al.
Recent Advances in Predictive Modeling with Electronic Health Recordsby Jiaqi Wang, Junyu Luo, Muchao Ye,…
Summary of No Free Prune: Information-theoretic Barriers to Pruning at Initialization, by Tanishq Kumar et al.
No Free Prune: Information-Theoretic Barriers to Pruning at Initializationby Tanishq Kumar, Kevin Luo, Mark SellkeFirst…
Summary of Need a Small Specialized Language Model? Plan Early!, by David Grangier et al.
Need a Small Specialized Language Model? Plan Early!by David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni…