Learning deep disentangled embeddings with the f-statistic loss K Ridgeway, MC Mozer Advances in neural information processing systems 31, 2018 | 179 | 2018 |
Learning to generate images with perceptual similarity metrics J Snell, K Ridgeway, R Liao, BD Roads, MC Mozer, RS Zemel 2017 IEEE International Conference on Image Processing (ICIP), 4277-4281, 2017 | 167 | 2017 |
Adapted deep embeddings: A synthesis of methods for k-shot inductive transfer learning T Scott, K Ridgeway, MC Mozer Advances in Neural Information Processing Systems 31, 2018 | 85 | 2018 |
A survey of inductive biases for factorial representation-learning K Ridgeway arXiv preprint arXiv:1612.05299, 2016 | 79 | 2016 |
Forgetting of foreign‐language skills: A corpus‐based analysis of online tutoring software K Ridgeway, MC Mozer, AR Bowles Cognitive science 41 (4), 924-949, 2017 | 22 | 2017 |
Method and system for reading fluency training AM Simmons, B Pellom, KF Ridgeway US Patent 9,424,834, 2016 | 17 | 2016 |
Continuous decoding of cognitive load from electroencephalography reveals task-general and task-specific correlates MJ Boring, K Ridgeway, M Shvartsman, TR Jonker Journal of Neural Engineering 17 (5), 056016, 2020 | 14 | 2020 |
Stochastic prototype embeddings TR Scott, K Ridgeway, MC Mozer arXiv preprint arXiv:1909.11702, 2019 | 9 | 2019 |
Producing controlled variations in automated teaching system interactions G Keim, RB Inouye, K Ridgeway, R Smith, K Kuhn, J Marmorstein, ... US Patent App. 14/101,073, 2014 | 6 | 2014 |
Teaching system combining live and automated instruction MS Fulkerson, A Harbick, A Huber, RB Inouve, G Keim, A Lopez, ... US Patent App. 12/887,618, 2012 | 4 | 2012 |
Open-ended content-style recombination via leakage filtering K Ridgeway, MC Mozer arXiv preprint arXiv:1810.00110, 2018 | 3 | 2018 |
Voice-based liveness verification B Pellom, G Haupt, K Ridgeway US Patent 10,223,512, 2019 | 2 | 2019 |
Method and system for reading fluency training AM Simmons, B Pellom, KF Ridgeway US Patent 10,210,769, 2019 | 2 | 2019 |
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors S Tsutsui, R Desai, K Ridgeway arXiv preprint arXiv:2110.01680, 2021 | 1 | 2021 |
Unifying few-and zero-shot egocentric action recognition TR Scott, M Shvartsman, K Ridgeway arXiv preprint arXiv:2006.11393, 2020 | 1 | 2020 |
Method and system for creating controlled variations in dialogues KF Ridgeway, RB Inouye, G Keim, KD Kuhn, JA Marmorstein, R Smith, ... US Patent App. 14/101,079, 2014 | 1 | 2014 |
System and Method for Language Instruction Using Multiple Prompts KF Ridgeway, RB Inouye, G Keim, KD Kuhn, JA Marmorstein, R Smith, ... US Patent App. 13/106,918, 2012 | 1 | 2012 |
Content-Style Decomposition: Representation Discovery and Applications KF Ridgeway University of Colorado at Boulder, 2018 | | 2018 |
Predicting the Performance of Rosetta Stone Language Learners with Individualized Models of Forgetting K Ridgeway University of Colorado, 2014 | | 2014 |
Using Java's generics mechanism to improve type safety in the command pattern K Ridgeway, D Bernstein, J Magnotti Proceedings of the 46th Annual Southeast Regional Conference on XX, 231-236, 2008 | | 2008 |