ML Anthology

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall
AAAI 2023 pp. 16246-16247
doi:10.1609/AAAI.V37I13.26983 /aaai/2023/lakkapragada2023aaai-mitigating/
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Cite

Text

Lakkapragada et al. "Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26983

Markdown

[Lakkapragada et al. "Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/lakkapragada2023aaai-mitigating/) doi:10.1609/AAAI.V37I13.26983

BibTeX

@inproceedings{lakkapragada2023aaai-mitigating,
  title     = {{Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)}},
  author    = {Lakkapragada, Anish and Sleiman, Essam and Surabhi, Saimourya and Wall, Dennis P.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16246-16247},
  doi       = {10.1609/AAAI.V37I13.26983},
  url       = {https://mlanthology.org/aaai/2023/lakkapragada2023aaai-mitigating/}
}