Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG.
CoRR, 2024
Winning Amazon KDD Cup'24.
CoRR, 2024
NV-Retriever: Improving text embedding models with effective hard-negative mining.
CoRR, 2024
Investigating the effects of incremental training on neural ranking models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
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
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
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
Accurate Trajectory Prediction for Autonomous Vehicles.
CoRR, 2019
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge.
CoRR, 2019