Hong-Min Chu
7 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Application Areas
(2)
Core AI
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Natural Language Processing
(1)
Security & Privacy
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
diffusion model
(2)
privacy attack
(1)
image generation
(1)
image restoration
(1)
data augmentation
(1)
multi-label classification
(1)
conditional generation
(1)
multimodal guidance
(1)
deep learning
(1)
instruction tuning
(1)
reinforcement learning from human feedback
(1)
gradient updates
(1)
generative model
(1)
recurrent neural network
(1)
language model
(1)
end-to-end learning
(1)
end-to-end training
(1)
label correlation
(1)
language model fine-tuning
(1)
neural network inference
(1)
Papers
NEFTune: Noisy Embeddings Improve Instruction Finetuning
ICLR 2024
Universal Guidance for Diffusion Models
ICLR 2024
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
NeurIPS 2023
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
ICLR 2023
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
ICLR 2021
Deep Learning with a Rethinking Structure for Multi-label Classification
ACML 2019
Deep Generative Models for Weakly-Supervised Multi-Label Classification
ECCV 2018