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2020 – today
- 2024
[c6]Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar:
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. DCC 2024: 562- [i10]Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar:
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. CoRR abs/2401.07957 (2024) - 2023
- [i9]Luke McDermott, Daniel Cummings:
Distilled Pruning: Using Synthetic Data to Win the Lottery. CoRR abs/2307.03364 (2023) - [i8]Haoli Yin, Jiayao Li, Eva Schiller, Luke McDermott, Daniel Cummings:
GraFT: Gradual Fusion Transformer for Multimodal Re-Identification. CoRR abs/2310.16856 (2023) - [i7]Luke McDermott, Daniel Cummings:
Linear Mode Connectivity in Sparse Neural Networks. CoRR abs/2310.18769 (2023) - [i6]Jennifer Crawford, Haoli Yin, Luke McDermott, Daniel Cummings:
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification. CoRR abs/2310.18812 (2023) - [i5]Luke McDermott, Jason Weitz, Dmitri Demler, Daniel Cummings, Nhan Tran, Javier M. Duarte:
Neural Architecture Codesign for Fast Bragg Peak Analysis. CoRR abs/2312.05978 (2023) - 2022
- [c5]Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain:
Automated Super-Network Generation for Scalable Neural Architecture Search. AutoML 2022: 5/1-15 - [c4]Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin:
Accelerating neural architecture exploration across modalities using genetic algorithms. GECCO Companion 2022: 635-638 - [c3]Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed
:
Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) 2022: 290-293 - [i4]Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin:
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms. CoRR abs/2202.12934 (2022) - [i3]Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz:
A Hardware-Aware System for Accelerating Deep Neural Network Optimization. CoRR abs/2202.12954 (2022) - [i2]Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan:
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities. CoRR abs/2205.10358 (2022) - 2021
- [i1]Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. CoRR abs/2104.02562 (2021) - 2020
- [c2]Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. ICASSP 2020: 3897-3901
1990 – 1999
- 1990
- [c1]Robert Alverson, David Callahan, Daniel Cummings, Brian D. Koblenz, Allan Porterfield, Burton J. Smith:
The Tera computer system. ICS 1990: 1-6
Coauthor Index
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