no code implementations • 16 Nov 2023 • Sagi Pendzel, Tomer Wullach, Amir Adler, Einat Minkov
In addition, we explore and compare the performance of the finetuned LLMs with zero-shot hate detection using a GPT-3. 5 model.
no code implementations • 31 Oct 2023 • Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
We consider the problem of 3D seismic inversion from pre-stack data using a very small number of seismic sources.
1 code implementation • 9 Jun 2023 • Amita Giri, John C. Mosher, Amir Adler, Dimitrios Pantazis
Overall, when tuned for optimal selection of thresholds, our method offers researchers a precise tool to estimate the true number of active brain sources and accurately model brain function.
no code implementations • 29 Jul 2022 • Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
This paper presents a deep learning solution for the reconstruction of realistic 3D models in the presence of field noise recorded in seismic surveys.
no code implementations • 2 Feb 2022 • Amir Adler, Mati Wax, Dimitrios Pantazis
We present a novel solution to the problem of localizing magnetoencephalography (MEG) and electroencephalography (EEG) brain signals.
1 code implementation • 11 Nov 2021 • Tomer Wullach, Amir Adler, Einat Minkov
Our results show that the proposed HyperNetworks achieve performance that is competitive, and better in some cases, than these pretrained language models, while being smaller by orders of magnitude.
no code implementations • NeurIPS Workshop DLDE 2021 • Luciano DROZDA, Pavanakumar Mohanamuraly, Yuval Realpe, Corentin Lapeyre, Amir Adler, Guillaume Daviller, Thierry Poinsot
High-fidelity large-eddy simulations (LES) of high Reynolds number flows are essential to design low-carbon footprint energy conversion devices.
no code implementations • Findings (EMNLP) 2021 • Tomer Wullach, Amir Adler, Einat Minkov
Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization.
no code implementations • 1 Dec 2020 • Dimitrios Pantazis, Amir Adler
We present a deep learning solution to the problem of localization of magnetoencephalography (MEG) brain signals.
1 code implementation • 13 May 2020 • Tomer Wullach, Amir Adler, Einat Minkov
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence.
no code implementations • 29 Aug 2019 • Amir Adler, Mati Wax, Dimitrios Pantazis
We present a novel solution to the problem of localization of MEG and EEG brain signals.
no code implementations • 25 Jun 2019 • Yochai Zur, Amir Adler
Compressed sensing (CS) is a signal processing framework for efficiently reconstructing a signal from a small number of measurements, obtained by linear projections of the signal.
2 code implementations • 30 Oct 2016 • Amir Adler, Michael Elad, Michael Zibulevsky
Compressed Learning (CL) is a joint signal processing and machine learning framework for inference from a signal, using a small number of measurements obtained by linear projections of the signal.
1 code implementation • 5 Jun 2016 • Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky
Compressed sensing (CS) is a signal processing framework for efficiently reconstructing a signal from a small number of measurements, obtained by linear projections of the signal.