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07/27/2023
Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
In-context learning, which offers substantial advantages over fine-tunin...
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02/11/2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Standard empirical risk minimization (ERM) training can produce deep neu...
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10/19/2022
Dense but Efficient VideoQA for Intricate Compositional Reasoning
It is well known that most of the conventional video question answering ...
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09/21/2022
PePe: Personalized Post-editing Model utilizing User-generated Post-edits
Incorporating personal preference is crucial in advanced machine transla...
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11/08/2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Progress toward the United Nations Sustainable Development Goals (SDGs) ...
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08/23/2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Deep neural networks often make decisions based on the spurious correlat...
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07/03/2021