Shubhendu Trivedi
12 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Conference Polyglot
(5)
π
Academic Marathon
(11)
π
Triple Crown
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Century Club
(12)
β
The Questioner
ποΈ
Keyword Collector
(51)
Conferences
NIPS (6)
ICLR (2)
ICML (2)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
conformal prediction
(3)
prediction interval
(2)
neural network
(2)
uncertainty quantification
(2)
group theory
(2)
attention mechanism
(1)
confidence calibration
(1)
feature learning
(1)
multi-label classification
(1)
text generation
(1)
structured prediction
(1)
question answering
(1)
neural network optimization
(1)
time series
(1)
hyperparameter tuning
(1)
nearest neighbor classification
(1)
deep learning model
(1)
generalization bound
(1)
inductive bia
(1)
natural language generation
(1)
Papers
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
AISTATS 2025
Improving Equivariant Model Training via Constraint Relaxation
NIPS 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
EMNLP 2024
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
ICML 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
NIPS 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
NIPS 2022
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
NIPS 2021
ClebschβGordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
NIPS 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
NIPS 2014