A sensorized multicurved robot finger with data-driven touch sensing via overlapping light signals P Piacenza, K Behrman, B Schifferer, I Kymissis, M Ciocarlie IEEE/ASME Transactions on Mechatronics 25 (5), 2416-2427, 2020 | 53 | 2020 |
GPU accelerated feature engineering and training for recommender systems B Schifferer, G Titericz, C Deotte, C Henkel, K Onodera, J Liu, B Tunguz, ... Proceedings of the Recommender Systems Challenge 2020, 16-23, 2020 | 40 | 2020 |
GPU accelerated boosted trees and deep neural networks for better recommender systems C Deotte, B Liu, B Schifferer, G Titericz Proceedings of the Recommender Systems Challenge 2021, 7-14, 2021 | 16 | 2021 |
Using Deep Learning to Win the Booking. com WSDM WebTour21 Challenge on Sequential Recommendations. B Schifferer, C Deotte, JF Puget, GSP Moreira, G Titericz, J Liu, R Ak WebTour@ WSDM, 22-28, 2021 | 15 | 2021 |
Neural network training using robust temporal ensembling AK Brown, RS DiPietro, BD Schifferer US Patent App. 17/033,147, 2022 | 10 | 2022 |
A Diverse Models Ensemble for Fashion Session-Based Recommendation B Schifferer, J Liu, S Rabhi, G Titericz, C Deotte, G De Souza P. Moreira, ... Proceedings of the Recommender Systems Challenge 2022, 10-17, 2022 | 7 | 2022 |
End-to-end session-based recommendation on GPU G de Souza Pereira Moreira, S Rabhi, R Ak, B Schifferer Proceedings of the 15th ACM Conference on Recommender Systems, 831-833, 2021 | 6 | 2021 |
Winning Amazon KDD Cup'23 C Deotte, JF Puget, B Schifferer, G Titericz Amazon KDD Cup 2023 Workshop, 2023 | 3 | 2023 |
Accurate Trajectory Prediction for Autonomous Vehicles M Diodato, Y Li, A Lovjer, M Yeom, A Song, Y Zeng, A Khosla, B Schifferer, ... arXiv preprint arXiv:1911.08568, 2019 | 3 | 2019 |
Using segmentation masks in the ICCV 2019 learning to drive challenge A Lovjer, M Yeom, BD Schifferer, I Drori arXiv preprint arXiv:1910.10317, 2019 | 1 | 2019 |
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG GSP Moreira, R Ak, B Schifferer, M Xu, R Osmulski, E Oldridge arXiv preprint arXiv:2409.07691, 2024 | | 2024 |
Winning Amazon KDD Cup'24 C Deotte, I Sorokin, A Erdem, B Schifferer, G Titericz Jr, S Jegou arXiv preprint arXiv:2408.04658, 2024 | | 2024 |
NV-Retriever: Improving text embedding models with effective hard-negative mining GSP Moreira, R Osmulski, M Xu, R Ak, B Schifferer, E Oldridge arXiv preprint arXiv:2407.15831, 2024 | | 2024 |
Investigating the effects of incremental training on neural ranking models B Schifferer, W Shi, GDSP Moreira, E Oldridge, C Deotte, G Titericz, ... Proceedings of the 17th ACM Conference on Recommender Systems, 318-321, 2023 | | 2023 |
Reducing the Friction for Building Recommender Systems with Merlin S Rabhi, R Ak, M Romeijn, GDSP Moreira, BD Schifferer Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
Robust Temporal Ensembling for Learning with Noisy Labels A Brown, B Schifferer, R DiPietro arXiv preprint arXiv:2109.14563, 2021 | | 2021 |
Robust Temporal Ensembling A Brown, B Schifferer, R DiPietro | | |