Proposals

Finding hidden features responsible for machine learning failures Learning-to-rank methods for query optimization Debiasing medical image datasets to improve machine learning robustness and fairness A Framework for Systematic Performance Experiments for Machine Learning Analysis of Checkpointing during Deep Learning Model Training BLOX for Deep Learning Task Scheduling with GPU Collocation Data Attribution on Progressive Datasets for Deep Learning Efficient Data Selection Methods for Machine Learning Flexible Data Placement on SSDs for Database Systems How much Data Movement is Being Saved? Incremental Model Updates on Tiny Hardware Machine Learning Models for the Edge Resource Management on Tiny Hardware Exploring connections of spectral learning priority and learning task Learning-based image quality enhancement on CubeSat Cubesat LoRa module Innovative Satellite LoRa use cases Machine learning on optical fiber sensor data Extreme networking Exploiting Edge Devices for Data-Intensive Applications Deconstructed Cloud Databases, Part I: Atomic Counters Deconstructed Cloud Databases, Part II: Open Dictionary Metadata Big data processing with Apache Wayang Combine Knowledge Graph Embeddings and Reasoning Reduce energy consumption with Apache Wayang Training data generation for data management systems Logging in Open-Source JavaScript Applications

Projects