Benedikt Schifferer

According to our database, Benedikt Schifferer authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG.

Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge

CoRR, 2024

Winning Amazon KDD Cup'24.

Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou

CoRR, 2024

NV-Retriever: Improving text embedding models with effective hard-negative mining.

Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge

CoRR, 2024

2023

Investigating the effects of incremental training on neural ranking models.

Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Training and Deploying Multi-Stage Recommender Systems.

Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Reducing the Friction for Building Recommender Systems with Merlin.

Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Robust Temporal Ensembling for Learning with Noisy Labels.

Abel Brown, Benedikt Schifferer, Robert DiPietro

CoRR, 2021

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations.

Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

End-to-End Session-Based Recommendation on GPU.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems.

Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

2020

A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals.

Pedro Piacenza, Keith Behrman, Benedikt D. Schifferer, Ioannis Kymissis, Matei T. Ciocarlie

CoRR, 2020

GPU Accelerated Feature Engineering and Training for Recommender Systems.

Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Tutorial: Feature Engineering for Recommender Systems.

Benedikt Schifferer, Chris Deotte, Even Oldridge

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Accurate Trajectory Prediction for Autonomous Vehicles.

Michael Diodato, Yu Li, Antonia Lovjer, Minsu Yeom, Albert Song, Yiyang Zeng, Abhay Khosla, Benedikt D. Schifferer, Manik Goyal, Iddo Drori

CoRR, 2019

Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge.

Antonia Lovjer, Minsu Yeom, Benedikt D. Schifferer, Iddo Drori

CoRR, 2019