Pang Wei W Koh
8 papers · 2017–2023 · 1 venue · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π₯ Mega-Team Β· Squad
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Venues
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Core Methods
(3)
Architectures
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Learning Types Β· Deep Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
continual learning
(1)
zero-shot learning
(1)
adversarial robustness
(1)
data poisoning
(1)
domain generalization
(1)
ensemble learning
(1)
model calibration
(1)
model robustness
(1)
self-supervised learning
(1)
bias detection
(1)
confidence calibration
(1)
empirical risk minimization
(1)
distribution shift
(1)
outlier removal
(1)
adversarial defense
(1)
multimodal dataset
(1)
adversarial perturbation
(1)
image-text pair
(1)
influence function
(1)
sequence modeling
(1)
Papers
Are aligned neural networks adversarially aligned?
NeurIPS 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
NeurIPS 2023
Proximity-Informed Calibration for Deep Neural Networks
NeurIPS 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NeurIPS 2022
On the Accuracy of Influence Functions for Measuring Group Effects
NeurIPS 2019
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
NeurIPS 2019
Certified Defenses for Data Poisoning Attacks
NeurIPS 2017