Levent Sagun
10 papers · 2018–2025 · 4 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
💎
Century Club · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Keywords
neural network
(2)
statistical physics
(2)
loss landscape
(2)
double descent
(1)
feature learning
(1)
variable selection
(1)
vision transformer
(1)
toxicity detection
(1)
ridge regression
(1)
neural network optimization
(1)
convolutional neural network
(1)
generalization error
(1)
speech classification
(1)
conditional independence
(1)
logistic loss
(1)
text classification
(1)
heavy-tailed distribution
(1)
stochastic differential equation
(1)
spurious correlation
(1)
stochastic gradient descent
(1)
Papers
A Differentiable Rank-Based Objective for Better Feature Learning
ICLR 2025
An Effective Theory of Bias Amplification
ICLR 2025
On the Role of Speech Data in Reducing Toxicity Detection Bias
NAACL 2025
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
ICML 2024
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
ICML 2021
On the interplay between data structure and loss function in classification problems
NeurIPS 2021
Triple descent and the two kinds of overfitting: where & why do they appear?
NeurIPS 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
ICML 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
NeurIPS 2019
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
ICML 2018