Jiaheng Wei
12 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Application Areas
(3)
Core Methods
(3)
Computer Vision
(2)
Deep Learning
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
label noise
(3)
large language model
(2)
robust learning
(2)
image classification
(2)
noisy label learning
(1)
weakly supervised learning
(1)
zero-shot learning
(1)
constrained optimization
(1)
computer vision
(1)
mechanism design
(1)
label smoothing
(1)
instruction tuning
(1)
machine unlearning
(1)
distribution shift
(1)
classification error
(1)
knowledge distillation
(1)
distributionally robust optimization
(1)
data selection
(1)
incentive compatibility
(1)
benchmark evaluation
(1)
Papers
Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
AAAI 2026
VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models
AAAI 2026
Human and AI Perceptual Differences in Image Classification Errors
AAAI 2025
Improving Data Efficiency via Curating LLM-Driven Rating Systems
ICLR 2025
LLM Unlearning via Loss Adjustment with Only Forget Data
ICLR 2025
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
ICML 2025
Distributionally Robust Post-hoc Classifiers under Prior Shifts
ICLR 2023
DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training
ECCV 2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
ICLR 2022
To Smooth or Not? When Label Smoothing Meets Noisy Labels
ICML 2022
Sample Elicitation
AISTATS 2021
When Optimizing f-Divergence is Robust with Label Noise
ICLR 2021