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Puja Trivedi
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 19
Top Topics
Scoring Functions
Diffusion Models
Graph Structure
Neural Network
Top Venues
CoRR
ICASSP
ICLR
CIKM
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Publications
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Puja Trivedi
,
Mark Heimann
,
Rushil Anirudh
,
Danai Koutra
,
Jayaraman J. Thiagarajan
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks.
CoRR
(2024)
Puja Trivedi
,
Danai Koutra
,
Jayaraman J. Thiagarajan
A Closer Look at Scoring Functions and Generalization Prediction.
CoRR
(2023)
Puja Trivedi
,
Danai Koutra
,
Jayaraman J. Thiagarajan
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias.
ICLR
(2023)
Puja Trivedi
,
Mark Heimann
,
Rushil Anirudh
,
Danai Koutra
,
Jayaraman J. Thiagarajan
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks.
CoRR
(2023)
Puja Trivedi
,
Danai Koutra
,
Jayaraman J. Thiagarajan
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias.
CoRR
(2023)
April Chen
,
Ryan A. Rossi
,
Namyong Park
,
Puja Trivedi
,
Yu Wang
,
Tong Yu
,
Sungchul Kim
,
Franck Dernoncourt
,
Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey.
CoRR
(2023)
Puja Trivedi
,
Danai Koutra
,
Jayaraman J. Thiagarajan
A Closer Look At Scoring Functions And Generalization Prediction.
ICASSP
(2023)
Puja Trivedi
,
Ryan A. Rossi
,
David Arbour
,
Tong Yu
,
Franck Dernoncourt
,
Sungchul Kim
,
Nedim Lipka
,
Namyong Park
,
Nesreen K. Ahmed
,
Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR
(2023)
Jayaraman J. Thiagarajan
,
Vivek Sivaraman Narayanaswamy
,
Puja Trivedi
,
Rushil Anirudh
PAGER: A Framework for Failure Analysis of Deep Regression Models.
CoRR
(2023)
Fatemeh Vahedian
,
Ruiyu Li
,
Puja Trivedi
,
Di Jin
,
Danai Koutra
Leveraging the Graph Structure of Neural Network Training Dynamics.
CIKM
(2022)
Puja Trivedi
,
Danai Koutra
,
Jayaraman J. Thiagarajan
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety.
CoRR
(2022)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Mark Heimann
,
Danai Koutra
,
Jayaraman J. Thiagarajan
Analyzing Data-Centric Properties for Graph Contrastive Learning.
NeurIPS
(2022)
Ekdeep Singh Lubana
,
Puja Trivedi
,
Danai Koutra
,
Robert P. Dick
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation.
CoLLAs
(2022)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Mark Heimann
,
Danai Koutra
,
Jayaraman J. Thiagarajan
Analyzing Data-Centric Properties for Contrastive Learning on Graphs.
CoRR
(2022)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Yujun Yan
,
Yaoqing Yang
,
Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
WWW
(2022)
Ekdeep Singh Lubana
,
Puja Trivedi
,
Robert P. Dick
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning.
CoRR
(2021)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Yujun Yan
,
Yaoqing Yang
,
Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
CoRR
(2021)
Fatemeh Vahedian
,
Ruiyu Li
,
Puja Trivedi
,
Di Jin
,
Danai Koutra
Convolutional Neural Network Dynamics: A Graph Perspective.
CoRR
(2021)
Ekdeep Singh Lubana
,
Puja Trivedi
,
Conrad D. Hougen
,
Robert P. Dick
,
Alfred O. Hero III
OrthoReg: Robust Network Pruning Using Orthonormality Regularization.
CoRR
(2020)