David Gifford
7 papers · 2016–2023 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (22)
π
Grand Slam
π§
Keyword Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Optimization & Theory
(3)
Application Areas
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Architectures
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
combinatorial optimization
(1)
ensemble learning
(1)
adversarial training
(1)
feature attribution
(1)
model interpretability
(1)
diffusion process
(1)
gradient descent
(1)
sequence optimization
(1)
stochastic process
(1)
integer linear programming
(1)
bayesian optimization
(1)
greedy optimization
(1)
convolutional neural network
(1)
recurrent neural network
(1)
variational autoencoder
(1)
local explanation
(1)
out-of-distribution detection
(1)
image classifier
(1)
uncertainty estimation
(1)
model explanation
(1)
Papers
Fundamental limits on the robustness of image classifiers
ICLR 2023
Maximum n-times Coverage for Vaccine Design
ICLR 2022
Overinterpretation reveals image classification model pathologies
NeurIPS 2021
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
AAAI 2020
What made you do this? Understanding black-box decisions with sufficient input subsets
AISTATS 2019
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
ICML 2017
Learning Population-Level Diffusions with Generative RNNs
ICML 2016