Summary of Optimal Kernel Tuning Parameter Prediction Using Deep Sequence Models, by Khawir Mahmood et al.
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Modelsby Khawir Mahmood, Jehandad Khan, Hammad AfzalFirst…
Summary of Statistical Learning For Constrained Functional Parameters in Infinite-dimensional Models with Applications in Fair Machine Learning, by Razieh Nabi et al.
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learningby…
Summary of Unsupervised Federated Optimization at the Edge: D2d-enabled Learning Without Labels, by Satyavrat Wagle et al.
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labelsby Satyavrat Wagle, Seyyedali Hosseinalipour, Naji…
Summary of Reffakd: Resource-efficient Autoencoder-based Knowledge Distillation, by Divyang Doshi and Jung-eun Kim
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillationby Divyang Doshi, Jung-Eun KimFirst submitted to arxiv on: 15 Apr…
Summary of Accelerating Ensemble Error Bar Prediction with Single Models Fits, by Vidit Agrawal et al.
Accelerating Ensemble Error Bar Prediction with Single Models Fitsby Vidit Agrawal, Shixin Zhang, Lane E.…
Summary of Machine Learning-based Optimization Workflow Of the Homogeneity Of Spunbond Nonwovens with Human Validation, by Viny Saajan Victor et al.
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validationby Viny Saajan…
Summary of A Self-feedback Knowledge Elicitation Approach For Chemical Reaction Predictions, by Pengfei Liu et al.
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictionsby Pengfei Liu, Jun Tao, Zhixiang RenFirst…
Summary of Ai Competitions and Benchmarks: Dataset Development, by Romain Egele et al.
AI Competitions and Benchmarks: Dataset Developmentby Romain Egele, Julio C. S. Jacques Junior, Jan N.…
Summary of Prime: a Cybergis Platform For Resilience Inference Measurement and Enhancement, by Debayan Mandal et al.
PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancementby Debayan Mandal, Lei Zou, Rohan…
Summary of Latticeml: a Data-driven Application For Predicting the Effective Young Modulus Of High Temperature Graph Based Architected Materials, by Akshansh Mishra
LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based…