Papers by Kasidis Kanwatchara
Rational LAMOL: A Rationale-based Lifelong Learning Framework (2021.acl-long)
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Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul
| Challenge: | Existing paradigms for machine learning suffer from catastrophic forgetting when a model completely forgets what it just learned in previous tasks. |
| Approach: | They propose to exploit unsupervised rationale generation to improve the performance of a lifelong language learning model by applying critical freezing guided by human rationales. |
| Outcome: | The proposed framework outperforms vanilla LAMOL on most permutations and unsupervised rationale generation consistently improves the overall performance. |