Aditya K Menon
11 papers · 2017–2023 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
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Keyword Pioneer
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(57)
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Century Club · Bronze
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Unstoppable · Bronze
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(3)
Venues
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Research topics
Machine Learning
(11)
Optimization & Theory · Machine Learning
(7)
Core Methods
(6)
Application Areas
(4)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representation learning
(2)
knowledge distillation
(2)
robust optimization
(1)
variational inference
(1)
bayesian inference
(1)
label noise
(1)
perceptron algorithm
(1)
adaptive inference
(1)
probability estimation
(1)
fair classification
(1)
nearest neighbor
(1)
cascade classifier
(1)
multi-label classification
(1)
gradient descent
(1)
binary classification
(1)
large margin classifier
(1)
exponential family
(1)
noise tolerance
(1)
information geometry
(1)
statistical learning
(1)
Papers
On student-teacher deviations in distillation: does it pay to disobey?
NeurIPS 2023
ResMem: Learn what you can and memorize the rest
NeurIPS 2023
When Does Confidence-Based Cascade Deferral Suffice?
NeurIPS 2023
Post-hoc estimators for learning to defer to an expert
NeurIPS 2022
A statistical perspective on distillation
ICML 2021
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
ICML 2021
Training Over-parameterized Models with Non-decomposable Objectives
NeurIPS 2021
Robust large-margin learning in hyperbolic space
NeurIPS 2020
Multilabel reductions: what is my loss optimising?
NeurIPS 2019
Noise-tolerant fair classification
NeurIPS 2019
f-GANs in an Information Geometric Nutshell
NeurIPS 2017