Manik Varma
13 papers · 2010–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
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Deep Specialist
(10)
π§
Keyword Pioneer
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Conference Pioneer
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(82)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(10)
Application Areas
(7)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Architectures
(3)
Core AI
(3)
Optimization
(3)
Learning Types
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
extreme classification
(5)
model compression
(3)
kernel methods
(2)
multiple kernel learning
(2)
recurrent neural network
(2)
support vector machine
(2)
precision@1
(2)
text classification
(1)
classification
(1)
metric learning
(1)
prototype learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
feature embedding
(1)
embedding learning
(1)
sparse representation
(1)
ensemble learning
(1)
deep kernel learning
(1)
efficient prediction
(1)
svm classification
(1)
Papers
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
ICML 2025
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
ICLR 2024
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
ICML 2024
Multi-Modal Extreme Classification
CVPR 2022
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
ICML 2021
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
NeurIPS 2020
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
NeurIPS 2018
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
ICML 2017
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
ICML 2017
Sparse Local Embeddings for Extreme Multi-label Classification
NeurIPS 2015
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
ICML 2014
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
ICML 2013
Multiple Kernel Learning and the SMO Algorithm
NeurIPS 2010