Paul Albert
10 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Cross-Pollinator (7) πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer π Academic Marathon (6)
π
Interdisciplinary Bridge
π
Grand Slam
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(10)
Conferences
ECCV (2)
WACV (2)
AAAI (1)
CVPR (1)
ICCV (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
label noise
(4)
parameter-efficient fine-tuning
(2)
low-rank adaptation
(2)
contrastive learning
(1)
semi-supervised learning
(1)
few-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
noisy label learning
(1)
knowledge transfer
(1)
knowledge distillation
(1)
data augmentation
(1)
robust classification
(1)
test-time adaptation
(1)
model merging
(1)
model adaptation
(1)
parameter efficient
(1)
mixture model
(1)
out-of-distribution detection
(1)
vision-language model
(1)
Papers
SineLoRAβ: Sine-Activated Delta Compression
AAAI 2026
RandLoRA: Full rank parameter-efficient fine-tuning of large models
ICLR 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product
ICCV 2025
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
NIPS 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets
ECCV 2024
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection
WACV 2023
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets
ECCV 2022
Addressing Out-of-Distribution Label Noise in Webly-Labelled Data
WACV 2022
Multi-Objective Interpolation Training for Robustness To Label Noise
CVPR 2021
Unsupervised Label Noise Modeling and Loss Correction
ICML 2019