Michael Diskin

12 papers A* 5Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A critical look at the evaluation of GNNs under heterophily: Are we really making progress? ICLR Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
2023	J	`jnl`	A critical look at the evaluation of GNNs under heterophily: are we really making progress? CoRR Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
2023	A*	`conf`	SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient. ICML Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov
2023	J	`jnl`	SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient. CoRR Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov
2022	A*	`conf`	Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees. NeurIPS Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov
2022	A*	`conf`	Secure Distributed Training at Scale. ICML Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin
2022	J	`jnl`	Training Transformers Together. CoRR Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf
2021	A*	`conf`	Distributed Deep Learning In Open Collaborations. NeurIPS Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
2021	J	`jnl`	Distributed Deep Learning in Open Collaborations. CoRR Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
2021	J	`jnl`	Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees. CoRR Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov
2021	J	`jnl`	Secure Distributed Training at Scale. CoRR Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin
2021	—	`conf`	Training Transformers Together. NeurIPS (Competition and Demos) Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf