Jingyun Xiao
5 papers · 2022–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Cross-Pollinator (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
NIPS (3)
ICLR (1)
WACV (1)
Top co-authors
Keywords
representation learning
(3)
self-supervised learning
(2)
contrastive learning
(1)
domain generalization
(1)
optimal transport
(1)
medical imaging
(1)
distribution shift
(1)
distribution alignment
(1)
noise contrastive estimation
(1)
permutation invariance
(1)
time-series analysis
(1)
long-tail recognition
(1)
neural decoding
(1)
latent augmentation
(1)
transformer architecture
(1)
Papers
Your contrastive learning problem is secretly a distribution alignment problem
NIPS 2024
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
ICLR 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
WACV 2024
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
NIPS 2022
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
NIPS 2022