Audio watermark attacks: from single to profile attacks. - Andreas Lang 001; Jana Dittmann; Ryan Spring; Claus Vielhauer (MM&Sec, 2005)

A Look into the Acquisition of English Motion Event Conflation by Native Speakers of Chinese and Japanese. - Ryan Spring (PACLIC, 2010)

Scalable and Sustainable Deep Learning via Randomized Hashing. - Ryan Spring; Anshumali Shrivastava (KDD, 2017)

A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models. - Ryan Spring; Anshumali Shrivastava (CoRR, 2017)

Scalable Estimation via LSH Samplers (LSS). - Ryan Spring; Anshumali Shrivastava (ICLR (Workshop), 2018)

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. - Amirali Aghazadeh; Ryan Spring; Daniel LeJeune; Gautam Dasarathy; Anshumali Shrivastava; Richard G. Baraniuk (ICML, 2018)

The Effect of L2 Onset on L2 and L3 learning: The Case of Native Speakers of Burkinabe languages. - Alain Hien; Ryan Spring (PACLIC, 2018)

Compressing Gradient Optimizers via Count-Sketches. - Ryan Spring; Anastasios Kyrillidis; Vijai Mohan; Anshumali Shrivastava (ICML, 2019)

Training Question Answering Models From Synthetic Data. - Raul Puri; Ryan Spring; Mohammad Shoeybi; Mostofa Patwary; Bryan Catanzaro (EMNLP (1), 2020)

Mutual Information Estimation using LSH Sampling. - Ryan Spring; Anshumali Shrivastava (IJCAI, 2020)

Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems. - Steven Coyne; Diana Galván-Sosa; Ryan Spring; Camélia Guerraoui; Michael Zock; Keisuke Sakaguchi; Kentaro Inui (AIED (4), 2025)