Stanislaw Jastrzebski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2017–2022
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AAAI | HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). | Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski |
| 2022 | ICML | Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. | Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras |
| 2021 | ICML | Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. | Stanislaw Jastrzebski, Devansh Arpit, Oliver strand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras |
| 2020 | ICLR | The Break-Even Point on Optimization Trajectories of Deep Neural Networks. | Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras |
| 2020 | ICONIP | Non-linear ICA Based on Cramer-Wold Metric. | Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski |
| 2019 | AISTATS | Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. | Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak |
| 2019 | ICLR | On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. | Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2019 | ICML | Parameter-Efficient Transfer Learning for NLP. | Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly |
| 2018 | ICANN | Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICLR | Residual Connections Encourage Iterative Inference. | Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio |
| 2018 | ICLR | Finding Flatter Minima with SGD. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2017 | ICLR | Deep Nets Don't Learn via Memorization. | David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville |
| 2017 | ICML | A Closer Look at Memorization in Deep Networks. | Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien |