116 citations · 300 across the 30 of their papers we have counts for
8 papers · 1 filter
CoDeQ: End-to-End Joint Model Compression with Dead-Zone Quantizer for High-Sparsity and Low-Precision Networks
Jonathan Wenshøj, Tong Chen, Bob Pepin +1
While joint pruning--quantization is theoretically superior to sequential application, current joint methods rely on auxiliary procedures outside the training loop for finding comp…
A Discrepancy-Based Perspective on Dataset Condensation
Tong Chen, Raghavendra Selvan
Given a dataset of finitely many elements , the goal of dataset condensation (DC) is to construct a synthetic dataset $\mathcal{S} = \{\ti…
Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting
Sophia N. Wilson, Jens Hesselbjerg Christensen, Raghavendra Selvan
Development of modern deep learning methods has been driven primarily by the push for improving model efficacy (accuracy metrics), leading to large-scale models that require massiv…
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby +22
The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions.…
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
Nanna Inie, Jeanette Falk, Raghavendra Selvan
Increased usage of generative AI (GenAI) in Human-Computer Interaction (HCI) research induces a climate impact from carbon emissions due to energy consumption of the hardware used…
Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race
Pedram Bakhtiarifard, Pınar Tözün, Christian Igel +1
Sustainability encompasses three key facets: economic, environmental, and social. However, the nascent discourse on sustainable artificial intelligence (AI) predominantly focuses o…