Search Results for author: Dyah Adila

Found 4 papers, 1 papers with code

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels

no code implementations30 Aug 2022 Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala

While it has been used successfully in many domains, weak supervision's application scope is limited by the difficulty of constructing labeling functions for domains with complex or high-dimensional features.

Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision

1 code implementation24 Mar 2022 Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

Despite the black-box nature of foundation models, we prove results characterizing how our approach improves performance and show that lift scales with the smoothness of label distributions in embedding space.

Understanding Out-of-distribution: A Perspective of Data Dynamics

no code implementations NeurIPS Workshop ICBINB 2021 Dyah Adila, Dongyeop Kang

Despite machine learning models' success in Natural Language Processing (NLP) tasks, predictions from these models frequently fail on out-of-distribution (OOD) samples.

BIG-bench Machine Learning

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