Scott Sievert

12 papers A* 2B 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2024 A* conf
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
NeurIPS
Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Bob Mankoff, Robert Nowak
2024 J jnl
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
CoRR
Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
2023 J jnl
Efficiently Learning Relative Similarity Embeddings with Crowdsourcing.
J. Open Source Softw.
Scott Sievert, Robert D. Nowak, Timothy T. Rogers
2022 B conf
Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection.
IEEE Big Data
Kyumin Lee, Guanyi Mou, Scott Sievert
2021 — conf
Training machine learning models faster with Dask.
SciPy
Joesph Holt, Scott Sievert
2019 — conf
Better and faster hyperparameter optimization with Dask.
SciPy
Scott Sievert, Tom Augspurger, Matthew Rocklin
2019 J jnl
Improving the convergence of SGD through adaptive batch sizes.
CoRR
Scott Sievert, Zachary Charles
2018 A* conf
ATOMO: Communication-efficient Learning via Atomic Sparsification.
NeurIPS
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018 J jnl
ATOMO: Communication-efficient Learning via Atomic Sparsification.
CoRR
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018 J jnl
Altair: Interactive Statistical Visualizations for Python.
J. Open Source Softw.
Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert
2017 — conf
NEXT: A system to easily connect crowdsourcing and adaptive data collection.
SciPy
Scott Sievert, Daniel Ross, Lalit K. Jain, Kevin Jamieson, Robert Nowak, Robert Mankoff
2015 J jnl
The khmer software package: enabling efficient nucleotide sequence analysis.
F1000Research
Michael R. Crusoe, Hussien F. Alameldin, Sherine Awad, Elmar Boucher, Adam Caldwell, Reed A. Cartwright, Amanda Charbonneau, Bede Constantinides, Greg Edvenson, Scott A. Fay, Jacob Fenton, Thomas Fenzl, Jordan A. Fish, Leonor Garcia-Gutierrez, Phillip Garland, Jonathan Gluck, Iván González, Sarah Guermond, Jiarong Guo, Aditi Gupta, Joshua R. Herr, Adina Howe, Alex Hyer, Andreas Härpfer, Luiz Irber, Rhys Kidd, David Lin, Justin Lippi, Tamer A. Mansour, Pamela McA'Nulty, Eric McDonald, Jessica Mizzi, Kevin D. Murray, Joshua R. Nahum, Kaben Nanlohy, Alexander Johan Nederbragt, Humberto Ortiz-Zuazaga, Jeramia Ory, Jason Pell, Charles Pepe-Ranney, Zachary N. Russ, Erich M. Schwarz, Camille Scott, Josiah D. Seaman, Scott Sievert, Jared Simpson, Connor Skennerton, James Spencer, Ramakrishnan Srinivasan, Daniel S. Standage, James A. Stapleton, Susan R. Steinman, Joe Stein, Benjamin Taylor, Will Trimble, Heather Wiencko, Michael Wright, Brian Wyss, Qingpeng Zhang, en zyme, C. Titus Brown