Mansheej Paul
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Deep Learning
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Natural Language Processing
(1)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
data pruning
(2)
training dynamics
(2)
iterative magnitude pruning
(2)
loss landscape
(2)
lottery ticket hypothesis
(2)
kernel learning
(1)
linear regression
(1)
bayesian estimator
(1)
deep neural network
(1)
scaling law
(1)
gradient norm
(1)
downstream task
(1)
task diversity
(1)
sparse training
(1)
model degradation
(1)
sparse network
(1)
loss surface
(1)
network initialization
(1)
language model pretraining
(1)
model scale
(1)
Papers
$\mathrmμ$nit Scaling: Simple and Scalable FP8 LLM Training
ICML 2025
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
ICLR 2025
Scaling Laws for Precision
ICLR 2025
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
NeurIPS 2023
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
ICLR 2023
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
NeurIPS 2022
Deep Learning on a Data Diet: Finding Important Examples Early in Training
NeurIPS 2021
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
NeurIPS 2020