cambridge-mlg Goto Github PK

3f8

The first chapters of an online textbook to support the 3F8 Inference course.

acp

Code for the paper "Approximating full conformal prediction at scale via influence functions""

adv-fsl

Repo for adversarial few-shot learning experiments.

aiuk2023-turing

Camera-ready demos for the AI UK event, Mar. 2023 @ the Alan Turing Institute.

arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

balaudiogram

A Bayesian active-learning procedure to obtain an audiogram, as described in Schlittenlacher et al. (2018, asa.scitation.org/doi/abs/10.1121/1.5047436). Matlab/Octave. Uses the GPML Toolbox (www.gaussianprocess.org/gpml), and is an application of the classification procedure described by Houlsby et al. (2011, https://arxiv.org/pdf/1112.5745)

bayes-dip

Code for the paper "A Probabilistic Deep Image Prior for Computational Tomography"

blog

MLG Blog

cifar-10s

HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator

clue

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

cnn-gp

Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitchison

combiner

convcnp

Implementation of the Convolutional Conditional Neural Process

covid19

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

demo_ppca_pyro_edward2

dp-few-shot

Code for: "On the Efficacy of Differentially Private Few-shot Image Classification" published in TMLR 12/2023.

dun

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

einsumnetworks

expressiveness-approx-bnns

Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"

fit

gem5-aladdin

End-to-end SoC simulation: integrating the gem5 system simulator with the Aladdin accelerator simulator.

gp.regression

Gaussian Process Regression Library for GNU-R

hill-mixup

lite

Code for "Memory Efficient Meta-Learning with Large Images"

melloo

meta-dataset

A dataset of datasets for learning to learn from few examples

mindspore.jl

miracle

This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'