Yefan Zhou
7 papers · 2023–2024 · 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🏆
Keyword Champion
(2)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(4)
Deep Learning
(3)
Application Areas
(3)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
model compression
(3)
heavy-tailed self-regularization
(2)
layer-wise learning rate
(2)
large language model
(2)
spectral density
(2)
neural network optimization
(1)
loss landscape
(1)
out-of-distribution generalization
(1)
model pruning
(1)
redundancy reduction
(1)
layer-wise analysis
(1)
hyperparameter tuning
(1)
learning rate
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
mixture of expert
(1)
model fine-tuning
(1)
weight matrix
(1)
layer-wise pruning
(1)
statistical mechanics
(1)
Papers
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
EMNLP 2024
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
NeurIPS 2024
MD tree: a model-diagnostic tree grown on loss landscape
ICML 2024
Model Balancing Helps Low-data Training and Fine-tuning
EMNLP 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NeurIPS 2024
A Three-regime Model of Network Pruning
ICML 2023
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
NeurIPS 2023