Max Vladymyrov
13 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(12)
🧭
Keyword Pioneer
🏆
Keyword Champion
(4)
👥
Mega-Team
(40)
🔥
Unstoppable
(5)
💎
Century Club
(13)
🚀
Conference Pioneer
Conferences
ICML (4)
NIPS (3)
CVPR (2)
ICLR (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
nonlinear embedding
(4)
dimensionality reduction
(3)
in-context learning
(2)
gradient descent
(2)
neural network
(2)
stochastic neighbor embedding
(2)
manifold learning
(1)
domain generalization
(1)
continual learning
(1)
low-rank approximation
(1)
communication efficiency
(1)
hebbian learning
(1)
nonconvex optimization
(1)
fast multipole method
(1)
nystrom method
(1)
knowledge distillation
(1)
distribution shift
(1)
low-dimensional embedding
(1)
spectral clustering
(1)
vision transformer
(1)
Papers
How new data permeates LLM knowledge and how to dilute it
ICLR 2025
Linear Transformers are Versatile In-Context Learners
NIPS 2024
Transformers Learn In-Context by Gradient Descent
ICML 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Fine-Tuning Image Transformers Using Learnable Memory
CVPR 2022
GradMax: Growing Neural Networks using Gradient Information
ICLR 2022
Meta-Learning Bidirectional Update Rules
ICML 2021
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
NIPS 2019
The Variational Nystrom method for large-scale spectral problems
ICML 2016
A fast, universal algorithm to learn parametric nonlinear embeddings
NIPS 2015
Linear-time training of nonlinear low-dimensional embeddings
AISTATS 2014
Entropic Affinities: Properties and Efficient Numerical Computation
ICML 2013