Kevin Liang
4 papers · 2019–2021 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
adversarial attack
(2)
continual learning
(1)
catastrophic forgetting
(1)
bayesian nonparametrics
(1)
feature distribution
(1)
indian buffet process
(1)
layer-wise analysis
(1)
black-box attack
(1)
convolutional neural network
(1)
long short-term memory
(1)
recurrent neural network
(1)
image classifier
(1)
transferable perturbation
(1)
weight factorization
(1)
kernel methods
(1)
targeted attack
(1)
blackbox transfer
(1)
feature hierarchy perturbation
(1)
recurrent kernel machine
(1)
gated memory cell
(1)
Papers
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
AISTATS 2021
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
NeurIPS 2020
Transferable Perturbations of Deep Feature Distributions
ICLR 2020
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
NeurIPS 2019