Tomer Lancewicki

According to our database, Tomer Lancewicki authored at least 14 papers between 2014 and 2023.

Collaborative distances:

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

2023

ITEm: Unsupervised Image-Text Embedding Learning for eCommerce.

Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki

CoRR, 2023

Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking.

Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking.

Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi

CoRR, 2022

2021

Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer.

Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney

CoRR, 2021

Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches.

Leonard Dahlmann, Tomer Lancewicki

CoRR, 2021

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization.

Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer.

Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney

Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection.

Ahmed Abdulaal, Tomer Lancewicki

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient-based Optimization Methods.

Tomer Lancewicki, Selçuk Köprü

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent.

Tomer Lancewicki, Selçuk Köprü

CoRR, 2019

2017

Sequential Inverse Approximation of a Regularized Sample Covariance Matrix.

Tomer Lancewicki

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting.

Tomer Lancewicki, Benjamin Goodrich, Itamar Arel

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Multi-Target Shrinkage Estimation for Covariance Matrices.

Tomer Lancewicki, Mayer E. Aladjem

IEEE Trans. Signal Process., 2014

Locally multidimensional scaling by creating neighborhoods in diffusion maps.

Tomer Lancewicki, Mayer E. Aladjem

Neurocomputing, 2014