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Sourya Basu

3 accepted papers

2023

Efficient Equivariant Transfer Learning from Pretrained Models

NeurIPS 2023poster

Efficient transfer learning algorithms are key to the success of foundation models on diverse downstream tasks even with limited data. Recent works of Basu et al. (2023) and Kaba et al. (2022) propose group averaging (equitune) and optimization-based methods, respectively, over features from group-t…

2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

AAAI 2023technical

We introduce equi-tuning, a novel fine-tuning method that transforms (potentially non-equivariant) pretrained models into group equivariant models while incurring minimum L_2 loss between the feature representations of the pretrained and the equivariant models. Large pretrained models can be equi-tu…

Cited by 27SourcePDFScholar
2021

MIROSTAT: A NEURAL TEXT DECODING ALGORITHM THAT DIRECTLY CONTROLS PERPLEXITY

ICLR 2021poster

Neural text decoding algorithms strongly influence the quality of texts generated using language models, but popular algorithms like top-k, top-p (nucleus), and temperature-based sampling may yield texts that have objectionable repetition or incoherence. Although these methods generate high-quality…

Cited by 63SourcecodeScholar