Zeke Xie
17 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
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Keywords
diffusion model
(2)
stochastic gradient descent
(2)
image generation
(2)
lottery ticket hypothesis
(1)
scene reconstruction
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principal component analysis
(1)
text-to-image synthesis
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feature selection
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deep neural network
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network pruning
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sparse model
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text-to-image generation
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deep learning
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neural network optimization
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adaptive learning rate
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disparity estimation
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optimization algorithm
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double descent
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stochastic gradient
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stochastic optimization
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Papers
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
ICLR 2025
Investigating the Overlooked Hessian Structure: From CNNs to LLMs
ICML 2025
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
ICML 2025
Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion
CVPR 2025
IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
ICLR 2025
Golden Noise for Diffusion Models: A Learning Framework
ICCV 2025
Neural Field Classifiers via Target Encoding and Classification Loss
ICLR 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
ICLR 2024
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
NIPS 2023
On the Overlooked Structure of Stochastic Gradients
NIPS 2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
ICCV 2023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
ICLR 2023
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
ICML 2022
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
ICML 2022
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
ICML 2021
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
ICLR 2021
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
ACML 2017