Yiwen Kou
9 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(28)
👑
Triple Crown
❓
The Questioner
(2)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(6)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Knowledge & Reasoning
(1)
Core Methods
(1)
Generation
(1)
Keywords
gradient descent
(4)
convolutional neural network
(3)
neural network optimization
(3)
neural network
(2)
representation learning
(2)
certified robustness
(1)
feature learning
(1)
stochastic gradient descent
(1)
text generation
(1)
machine translation
(1)
multimodal learning
(1)
sample complexity
(1)
visual reasoning
(1)
pseudo labeling
(1)
semi-supervised learning
(1)
computational complexity
(1)
loss landscape
(1)
visual question answering
(1)
label noise
(1)
sharpness-aware minimization
(1)
Papers
On the Power of Multitask Representation Learning with Gradient Descent
AISTATS 2025
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
NeurIPS 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
NeurIPS 2024
Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent
NeurIPS 2024
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
ICML 2023
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
ICLR 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data
NeurIPS 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
NeurIPS 2023
Certified Adversarial Robustness Under the Bounded Support Set
ICML 2022