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Benedikt Schifferer
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- affiliation: NVIDIA, Germany
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2020 – today
- 2024
- [i7]Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge:
NV-Retriever: Improving text embedding models with effective hard-negative mining. CoRR abs/2407.15831 (2024) - [i6]Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou:
Winning Amazon KDD Cup'24. CoRR abs/2408.04658 (2024) - [i5]Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge:
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. CoRR abs/2409.07691 (2024) - 2023
- [c8]Benedikt Schifferer
, Wenzhe Shi
Investigating the effects of incremental training on neural ranking models. RecSys 2023: 318-321 - 2022
- [c7]Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer:
Reducing the Friction for Building Recommender Systems with Merlin. KDD 2022: 4816-4817 - [c6]Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira:
Training and Deploying Multi-Stage Recommender Systems. RecSys 2022: 706-707 - 2021
- [c5]Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz:
GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems. RecSys Challenge 2021: 7-14 - [c4]Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer:
End-to-End Session-Based Recommendation on GPU. RecSys 2021: 831-833 - [c3]Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak:
Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. WebTour@WSDM 2021: 22-28 - [i4]Abel Brown, Benedikt Schifferer, Robert DiPietro:
Robust Temporal Ensembling for Learning with Noisy Labels. CoRR abs/2109.14563 (2021) - 2020
- [c2]Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem:
GPU Accelerated Feature Engineering and Training for Recommender Systems. RecSys Challenge 2020: 16-23 - [c1]Benedikt Schifferer, Chris Deotte, Even Oldridge:
Tutorial: Feature Engineering for Recommender Systems. RecSys 2020: 754-755 - [i3]Pedro Piacenza, Keith Behrman, Benedikt D. Schifferer, Ioannis Kymissis, Matei T. Ciocarlie:
A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals. CoRR abs/2004.00685 (2020)
2010 – 2019
- 2019
- [i2]Antonia Lovjer, Minsu Yeom, Benedikt D. Schifferer, Iddo Drori:
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge. CoRR abs/1910.10317 (2019) - [i1]Michael Diodato, Yu Li, Antonia Lovjer, Minsu Yeom, Albert Song, Yiyang Zeng, Abhay Khosla, Benedikt D. Schifferer, Manik Goyal, Iddo Drori:
Accurate Trajectory Prediction for Autonomous Vehicles. CoRR abs/1911.08568 (2019)
Coauthor Index
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