Arthur Mensch
13 papers · 2016–2022 · 3 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Natural Language Processing
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Data Science & Analytics
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
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(1)
Keywords
dictionary learning
(2)
brain imaging
(2)
nash equilibrium
(2)
optimal transport
(2)
scaling law
(2)
game theory
(1)
ordinal regression
(1)
multi-task learning
(1)
sparse representation
(1)
sparse coding
(1)
visual question answering
(1)
online learning
(1)
attention mechanism
(1)
question answering
(1)
sample complexity
(1)
matrix factorization
(1)
image captioning
(1)
document retrieval
(1)
dimension reduction
(1)
multimodal learning
(1)
Papers
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Flamingo: a Visual Language Model for Few-Shot Learning
NeurIPS 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Differentiable Divergences Between Time Series
AISTATS 2021
A mean-field analysis of two-player zero-sum games
NeurIPS 2020
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
Online Sinkhorn: Optimal Transport distances from sample streams
NeurIPS 2020
Geometric Losses for Distributional Learning
ICML 2019
Differentiable Dynamic Programming for Structured Prediction and Attention
ICML 2018
Learning Neural Representations of Human Cognition across Many fMRI Studies
NeurIPS 2017
Dictionary Learning for Massive Matrix Factorization
ICML 2016
Learning brain regions via large-scale online structured sparse dictionary learning
NeurIPS 2016