Shubhendu Trivedi
12 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🧬
Topic Evolution
👑
Triple Crown
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
(66)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(8)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Techniques
(5)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Application Areas
(1)
Keywords
conformal prediction
(3)
group equivariance
(2)
uncertainty quantification
(2)
prediction interval
(2)
group theory
(2)
neural network
(2)
multi-label classification
(1)
feature learning
(1)
learning theory
(1)
natural language generation
(1)
question answering
(1)
text generation
(1)
attention mechanism
(1)
confidence calibration
(1)
large margin learning
(1)
gradient descent
(1)
time series
(1)
neural network optimization
(1)
linear classification
(1)
structured prediction
(1)
Papers
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
AISTATS 2025
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
EMNLP 2024
Improving Equivariant Model Training via Constraint Relaxation
NeurIPS 2024
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
NeurIPS 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
ICML 2023
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
ICLR 2023
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
ICLR 2022
Conformal Prediction with Temporal Quantile Adjustments
NeurIPS 2022
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
NeurIPS 2021
Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
NeurIPS 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
ICML 2018
Discriminative Metric Learning by Neighborhood Gerrymandering
NeurIPS 2014