Search Results for author: Guneet S. Dhillon

Found 5 papers, 4 papers with code

On the Expected Size of Conformal Prediction Sets

1 code implementation12 Jun 2023 Guneet S. Dhillon, George Deligiannidis, Tom Rainforth

While conformal predictors reap the benefits of rigorous statistical guarantees on their error frequency, the size of their corresponding prediction sets is critical to their practical utility.

Conformal Prediction

Uniform Sampling over Episode Difficulty

2 code implementations NeurIPS 2021 Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto

Episodic training is a core ingredient of few-shot learning to train models on tasks with limited labelled data.

Few-Shot Learning

Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning

no code implementations30 Sep 2020 Guneet S. Dhillon, Nicholas Carlini

Stochastic Activation Pruning (SAP) (Dhillon et al., 2018) is a defense to adversarial examples that was attacked and found to be broken by the "Obfuscated Gradients" paper (Athalye et al., 2018).

A Baseline for Few-Shot Image Classification

3 code implementations ICLR 2020 Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto

When fine-tuned transductively, this outperforms the current state-of-the-art on standard datasets such as Mini-ImageNet, Tiered-ImageNet, CIFAR-FS and FC-100 with the same hyper-parameters.

Classification Few-Shot Image Classification +2

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