RENCHUNZI XIE
8 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24)
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Hot Topic Early Bird
Conferences
NIPS (4)
ICML (3)
AAAI (1)
Top co-authors
Keywords
out-of-distribution detection
(4)
distribution shift
(2)
noisy label
(2)
logit normalization
(2)
representation learning
(2)
noisy label learning
(1)
class-incremental learning
(1)
class imbalance
(1)
label noise
(1)
kullback-leibler divergence
(1)
matrix norms
(1)
data privacy
(1)
deep neural network
(1)
privacy protection
(1)
cross-entropy loss
(1)
long-tailed distribution
(1)
domain shift
(1)
generalization performance
(1)
data rebalancing
(1)
out-of-distribution datum
(1)
Papers
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NIPS 2024
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
ICML 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
NIPS 2023
Mitigating Neural Network Overconfidence with Logit Normalization
ICML 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
AAAI 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
NIPS 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
ICML 2022
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
NIPS 2021