Mor Shpigel Nacson
12 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(11)
❓
The Questioner
🚀
Conference Pioneer
💎
Century Club
(12)
🔥
Unstoppable
(8)
Conferences
ICML (5)
ICLR (3)
AISTATS (2)
CVPR (1)
JMLR (1)
Top co-authors
Keywords
gradient descent
(6)
separable datum
(3)
implicit bia
(3)
gradient flow
(2)
convergence rate
(2)
logistic loss
(2)
neural network optimization
(1)
loss landscape
(1)
sparse regression
(1)
margin maximization
(1)
maximum margin
(1)
linear classifier
(1)
inductive bia
(1)
implicit regularization
(1)
linear network
(1)
vision-language model
(1)
edge of stability
(1)
optical character recognition
(1)
token reduction
(1)
diagonal network
(1)
Papers
DocVLM: Make Your VLM an Efficient Reader
CVPR 2025
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
ICML 2024
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
ICML 2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
ICLR 2023
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
ICML 2022
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
ICLR 2020
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
AISTATS 2019
Convergence of Gradient Descent on Separable Data
AISTATS 2019
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
ICML 2019
The Implicit Bias of Gradient Descent on Separable Data
ICLR 2018
The Implicit Bias of Gradient Descent on Separable Data
JMLR 2018