Shikai Qiu
10 papers · 2023–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
π
Conference Polyglot
(2)
π
Century Club
(10)
β
The Questioner
Conferences
ICML (7)
NIPS (3)
Top co-authors
Keywords
neural network
(2)
bayesian inference
(2)
domain generalization
(1)
uncertainty quantification
(1)
neural network optimization
(1)
efficient computing
(1)
out-of-distribution generalization
(1)
covariate shift
(1)
time series forecasting
(1)
maximum a posteriori
(1)
multimodal distribution
(1)
empirical baye
(1)
language model
(1)
scaling law
(1)
mixture of expert
(1)
linear layer
(1)
compute-efficient scaling
(1)
task adaptation
(1)
spurious feature
(1)
feature reweighting
(1)
Papers
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
ICML 2025
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
ICML 2025
Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
ICML 2025
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NIPS 2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
ICML 2024
Should We Learn Most Likely Functions or Parameters?
NIPS 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
ICML 2023
Large Language Models Are Zero-Shot Time Series Forecasters
NIPS 2023