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Altan Haan

dblp:267/9582 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Efficient and distributed learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
memory-efficient training
0.512021
Dynamic Tensor Rematerialization · ICLR 2021
Machine learning › Efficient and distributed learning › memory-efficient training
re-materialization
0.512021
Dynamic Tensor Rematerialization · ICLR 2021

Methods — techniques the papers use, named apart from their topics

dynamic programming · 0.5checkpointing · 0.5
YearPublicationVenuePosition
2024 SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics
abstract
Arash Ardakani, Altan Haan, Shangyin Tan, Doru Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen
NAACL-HLT2
2021 Dynamic Tensor Rematerialization
Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen 0001, Zachary Tatlock
ICLR3