Jastrzebski, Stanislaw

7 publications

ICML 2022 Characterizing and Overcoming the Greedy Nature of Learning in Multi-Modal Deep Neural Networks Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J Geras

AAAI 2022 HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract) Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski

ICML 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras

ICLR 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof Geras

NeurIPS 2019 Large Scale Structure of Neural Network Loss Landscapes Stanislav Fort, Stanislaw Jastrzebski

ICML 2019 Parameter-Efficient Transfer Learning for NLP Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly

ICLR 2017 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