| A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... Proceedings of KDD Cup 2011, 21-60, 2012 | 69 | 2012 |
| A simple and effective positional encoding for transformers PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng arXiv preprint arXiv:2104.08698, 2021 | 61 | 2021 |
| Multi-label classification with error-correcting codes CS Ferng, HT Lin Asian conference on machine learning, 281-295, 2011 | 45 | 2011 |
| A two-stage ensemble of diverse models for advertisement ranking in kdd cup 2012 KW Wu, CS Ferng, CH Ho, AC Liang, CH Huang, WY Shen, JY Jiang, ... KDDCup, 2012 | 27 | 2012 |
| Finding fast transformers: One-shot neural architecture search by component composition H Tsai, J Ooi, CS Ferng, HW Chung, J Riesa arXiv preprint arXiv:2008.06808, 2020 | 24 | 2020 |
| Active learning using hint information CL Li, CS Ferng, HT Lin Neural computation 27 (8), 1738-1765, 2015 | 24 | 2015 |
| Active learning with hinted support vector machine CL Li, CS Ferng, HT Lin Asian Conference on Machine Learning, 221-235, 2012 | 19 | 2012 |
| An ensemble of three classifiers for kdd cup 2009: Expanded linear model, heterogeneous boosting, and selective naive bayes HY Lo, KW Chang, ST Chen, TH Chiang, CS Ferng, CJ Hsieh, YK Ko, ... KDD-Cup 2009 Competition, 57-64, 2009 | 19 | 2009 |
| Novel models and ensemble techniques to discriminate favorite items from unrated ones for personalized music recommendation TG McKenzie, CS Ferng, YN Chen, CL Li, CH Tsai, KW Wu, YH Chang, ... Proceedings of KDD Cup 2011, 101-135, 2012 | 17 | 2012 |
| Multilabel classification using error-correcting codes of hard or soft bits CS Ferng, HT Lin IEEE transactions on neural networks and learning systems 24 (11), 1888-1900, 2013 | 16 | 2013 |
| Neural structured learning: training neural networks with structured signals A Gopalan, DC Juan, CI Magalhaes, CS Ferng, A Heydon, CT Lu, P Pham, ... Proceedings of the 14th ACM international conference on web search and data …, 2021 | 14 | 2021 |
| Adversarial robustness across representation spaces P Awasthi, G Yu, CS Ferng, A Tomkins, DC Juan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Demystifying the better performance of position encoding variants for transformer PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng arXiv preprint arXiv:2104.08698 3 (7), 2021 | 7 | 2021 |
| Canonical image selection and efficient image graph construction for large-scale Flickr photos LC Hsieh, KT Chen, CH Chiang, YH Yang, GL Wu, CS Ferng, HW Hsueh, ... Proceedings of the 17th ACM international conference on Multimedia, 1121-1122, 2009 | 4 | 2009 |
| An ensemble ranking solution to the yahoo! learning to rank challenge MF Tsai, ST Chen, YN Chen, CS Ferng, CH Wang, TY Wen, HT Lin Workshop on the Yahoo! Learning to Rank Challenge@ ICML'10, 2010 | 2 | 2010 |
| Substance or Style: What Does Your Image Embedding Know? C Rashtchian, C Herrmann, CS Ferng, A Chakrabarti, D Krishnan, D Sun, ... arXiv preprint arXiv:2307.05610, 2023 | | 2023 |
| CARLS: Cross-platform Asynchronous Representation Learning System CT Lu, Y Zeng, DC Juan, Y Fan, Z Li, J Dlabal, YT Chen, A Gopalan, ... arXiv preprint arXiv:2105.12849, 2021 | | 2021 |
| Neural Structured Learning in TensorFlow: Hands-On Tutorial at KDD A Gopalan, DC Juan, CI Magalhaes, A Heydon, CT Lu, PM Pham, G Yu | | 2020 |
| 剛性與柔性解碼之錯誤更正碼於多標籤分類學習之應用 馮俊菘 | | 2012 |
| Probing the Equivariance of Image Embeddings C Rashtchian, C Herrmann, CS Ferng, A Chakrabarti, D Krishnan, D Sun, ... NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 0 | | |
