Benedikt Schifferer

Orcid: 0009-0007-0941-4110

Affiliations:
  • NVIDIA


According to our database1, Benedikt Schifferer authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Investigating the effects of incremental training on neural ranking models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Training and Deploying Multi-Stage Recommender Systems.
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.
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.
CoRR, 2021

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations.
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.
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.
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.
CoRR, 2020

GPU Accelerated Feature Engineering and Training for Recommender Systems.
Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Tutorial: Feature Engineering for Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Accurate Trajectory Prediction for Autonomous Vehicles.
CoRR, 2019

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


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