Neha Gupta
10 papers · 2018–2025 · 4 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 ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22)
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(7)
Core Methods
(6)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types
(3)
Deep Learning
(2)
Applications
(2)
Architectures
(2)
Learning Paradigms
(2)
Core AI
(1)
Optimization & Theory Β· Deep Learning
(1)
Resources & Methods
(1)
Keywords
cost-quality trade-off
(2)
active learning
(2)
transfer learning
(1)
uncertainty quantification
(1)
question answering
(1)
neural machine translation
(1)
class imbalance
(1)
low-resource language
(1)
multilingual pretraining
(1)
cascade classifier
(1)
distance estimation
(1)
label complexity
(1)
regression analysis
(1)
query complexity
(1)
matrix computation
(1)
sample complexity
(1)
deep neural network
(1)
implicit regularization
(1)
matrix sensing
(1)
local learning
(1)
Papers
Faster Cascades via Speculative Decoding
ICLR 2025
Transformers: Leveraging OpenNMT and Transfer Learning for Low-Resource Indian Language Translation
EMNLP 2025
Language Model Cascades: Token-Level Uncertainty And Beyond
ICLR 2024
Learning to Reject Meets Long-tail Learning
ICLR 2024
When Does Confidence-Based Cascade Deferral Suffice?
NeurIPS 2023
Active Local Learning
COLT 2020
Estimating decision tree learnability with polylogarithmic sample complexity
NeurIPS 2020
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
COLT 2020
Universal guarantees for decision tree induction via a higher-order splitting criterion
NeurIPS 2020
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
NeurIPS 2018