Andrew Jesson

发表

Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018 .

Identifying Causal Effect Inference Failure with Uncertainty-Aware Models pdf

Uri Shalit, Yarin Gal, Soren Mindermann, 2020, NeurIPS.

Adversarially Learned Mixture Model pdf

Nicolas Chapados, Cécile Low-Kam, Andrew Jesson, 2018, ArXiv.

CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance pdf

Nicolas Guizard, Nicolas Chapados, Sina Hamidi Ghalehjegh, 2017, MICCAI.

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

Peter A. Calabresi, Snehashis Roy, Aaron Carass, 2020, Scientific Reports.

Task Adaptive Metric Space for Medium-Shot Medical Image Classification

Stan Matwin, Mohammad Havaei, Xiang Jiang, 2019, MICCAI.

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification pdf

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ArXiv.

Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss

Tal Arbel, Andrew Jesson, T. Arbel, 2017, BrainLes@MICCAI.

Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific pdf

Duncan Watson-Parris, Yarin Gal, Philip Stier, 2021, ArXiv.

Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding pdf

Uri Shalit, Yarin Gal, Andrew Jesson, 2021, ICML.

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data pdf

Uri Shalit, Yarin Gal, Andreas Kirsch, 2021, ArXiv.

On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Yarin Gal, Lewis Smith, Joost van Amersfoort, 2021 .

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression pdf

Yarin Gal, Lewis Smith, Joost van Amersfoort, 2021, ArXiv.

GeneDisco: A Benchmark for Experimental Design in Drug Discovery pdf

Arash Mehrjou, Yarin Gal, Stefan Bauer, 2021, ICLR.