Nakul Verma
10 papers · 2007–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
π
Keyword Champion
π
Keyword Trendsetter Combo
(3)
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(7)
Mathematics & Optimization
(3)
Mathematics
(3)
Optimization & Theory
(3)
Computer Science
(2)
Deep Learning
(2)
Foundations
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Application Areas
(1)
Core AI
(1)
Keywords
manifold learning
(3)
intrinsic dimension
(2)
dimensionality reduction
(2)
geodesic distance
(2)
manifold embedding
(2)
computer vision
(1)
transfer learning
(1)
metric learning
(1)
data visualization
(1)
generalization error
(1)
question generation
(1)
deep learning
(1)
fair classification
(1)
nearest neighbor
(1)
pac learning
(1)
graph embedding
(1)
sample complexity
(1)
kernel classification
(1)
label noise
(1)
embedding learning
(1)
Papers
Compressibility Barriers to Neighborhood-Preserving Data Visualization
ALT 2026
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level
AAAI 2023
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
ACL 2023
Automated Symbolic Law Discovery: A Computer Vision Approach
AAAI 2021
Noise-tolerant fair classification
NeurIPS 2019
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality
JMLR 2017
Sample Complexity of Learning Mahalanobis Distance Metrics
NeurIPS 2015
Distance Preserving Embeddings for General n-Dimensional Manifolds
JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds
COLT 2012
Learning the structure of manifolds using random projections
NeurIPS 2007