Tomer Lancewicki

15 papers A* 1C 2Misc 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. CoRR Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki
2023	—	`conf`	Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. ACL (Findings) Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
2022	J	`jnl`	Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. CoRR Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
2021	J	`jnl`	Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches. CoRR Leonard Dahlmann, Tomer Lancewicki
2021	—	`conf`	Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. IWSLT Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
2021	J	`jnl`	Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. CoRR Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
2021	A*	`conf`	Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki
2021	Misc	`conf`	Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. ICASSP Ahmed Abdulaal, Tomer Lancewicki
2021	J	`jnl`	Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. CoRR Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
2020	Misc	`conf`	Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient-based Optimization Methods. ICASSP Tomer Lancewicki, Selçuk Köprü
2019	J	`jnl`	Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent. CoRR Tomer Lancewicki, Selçuk Köprü
2017	C	`conf`	Sequential Inverse Approximation of a Regularized Sample Covariance Matrix. ICMLA Tomer Lancewicki
2015	C	`conf`	Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA Tomer Lancewicki, Benjamin Goodrich, Itamar Arel
2014	J	`jnl`	Locally multidimensional scaling by creating neighborhoods in diffusion maps. Neurocomputing Tomer Lancewicki, Mayer E. Aladjem
2014	J	`jnl`	Multi-Target Shrinkage Estimation for Covariance Matrices. IEEE Trans. Signal Process. Tomer Lancewicki, Mayer E. Aladjem