Ryan Spring

16 papers A* 4C 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems.
AIED (4)
Steven Coyne, Diana Galván-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi, Kentaro Inui
2025 J jnl
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems.
CoRR
Steven Coyne, Diana Galván-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi, Kentaro Inui
2020 A* conf
Mutual Information Estimation using LSH Sampling.
IJCAI
Ryan Spring, Anshumali Shrivastava
2020 — conf
Training Question Answering Models From Synthetic Data.
EMNLP (1)
Raul Puri, Ryan Spring, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro
2020 J jnl
Training Question Answering Models From Synthetic Data.
CoRR
Raul Puri, Ryan Spring, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2019 A* conf
Compressing Gradient Optimizers via Count-Sketches.
ICML
Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava
2019 J jnl
Compressing Gradient Optimizers via Count-Sketches.
CoRR
Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava
2018 A* conf
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.
ICML
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
2018 J jnl
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.
CoRR
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
2018 — conf
Scalable Estimation via LSH Samplers (LSS).
ICLR (Workshop)
Ryan Spring, Anshumali Shrivastava
2018 C conf
The Effect of L2 Onset on L2 and L3 learning: The Case of Native Speakers of Burkinabe languages.
PACLIC
Alain Hien, Ryan Spring
2017 J jnl
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models.
CoRR
Ryan Spring, Anshumali Shrivastava
2017 A* conf
Scalable and Sustainable Deep Learning via Randomized Hashing.
KDD
Ryan Spring, Anshumali Shrivastava
2016 J jnl
Scalable and Sustainable Deep Learning via Randomized Hashing.
CoRR
Ryan Spring, Anshumali Shrivastava
2010 C conf
A Look into the Acquisition of English Motion Event Conflation by Native Speakers of Chinese and Japanese.
PACLIC
Ryan Spring
2005 — conf
Audio watermark attacks: from single to profile attacks.
MM&Sec
Andreas Lang, Jana Dittmann, Ryan Spring, Claus Vielhauer