Kaiqi Zhang
4 papers · 2018–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
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Conference Pioneer
❓
The Questioner
Conferences
NIPS (2)
ECCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
manifold learning
(1)
neural network optimization
(1)
label noise
(1)
gradient descent
(1)
nonparametric regression
(1)
curse of dimensionality
(1)
total variation
(1)
nonparametric classification
(1)
learning rate
(1)
generalization bound
(1)
convolutional neural network
(1)
convolutional residual network
(1)
low-dimensional manifold
(1)
weight decay
(1)
overparameterized network
(1)
relu network
(1)
local minimum
(1)
neural network
(1)
Papers
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
NIPS 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
NIPS 2024
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
ICLR 2023
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
ECCV 2018