RENCHUNZI XIE
8 papers · 2021–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
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Research topics
Keywords
out-of-distribution detection
(4)
cross-entropy loss
(2)
logit normalization
(2)
noisy label
(2)
distribution shift
(2)
representation learning
(2)
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)
long-tailed distribution
(1)
domain shift
(1)
generalization performance
(1)
data rebalancing
(1)
out-of-distribution data
(1)
dual learning
(1)
Papers
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 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
NeurIPS 2023
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
NeurIPS 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
AAAI 2022
Mitigating Neural Network Overconfidence with Logit Normalization
ICML 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
NeurIPS 2021