Chengyu Dong
14 papers · 2020–2024 · 6 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (13)
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Machine Learning
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Keywords
text classification
(4)
weakly supervised learning
(3)
knowledge distillation
(3)
adversarial training
(2)
representation learning
(2)
pre-trained language model
(2)
weak supervision
(2)
large language model
(2)
text generation
(2)
principal component analysis
(1)
data poisoning
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double descent
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prompt engineering
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self-supervised learning
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model calibration
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adversarial learning
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machine unlearning
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pseudo labeling
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neural network optimization
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feature selection
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Papers
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
ACL 2024
Fast-ELECTRA for Efficient Pre-training
ICLR 2024
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
EMNLP 2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation
ICLR 2024
Bridging Discrete and Backpropagation: Straight-Through and Beyond
NeurIPS 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
EMNLP 2023
Learning Concise and Descriptive Attributes for Visual Recognition
ICCV 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
EMNLP 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
ICML 2023
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
NeurIPS 2022
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
EMNLP 2022
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
EMNLP 2021
BFClass: A Backdoor-free Text Classification Framework
EMNLP 2021
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
ICML 2020