A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai, Mladen Kolar, Sanmi Koyejo
Journal
NeurIPS 2022 Papers
Conference on Neural Information Processing Systems
Decision breakdown
2,901papers
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- Other / unlabeled2,901100.0%
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TitleTypeTopic
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
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Learning Operators with Coupled Attention
Georgios Kissas, Jacob Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
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Bayesian subset selection and variable importance for interpretable prediction and classification
Daniel R. Kowal
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Optimality and Stability in Non-Convex Smooth Games
Guojun Zhang, Pascal Poupart, Yaoliang Yu
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Recovery and Generalization in Over-Realized Dictionary Learning
Jeremias Sulam, Chong You, Zhihui Zhu
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[Re] Nondeterminism and Instability in Neural Network Optimization
Waqas Ahmed, Sheeba Samuel
Journal
[Re] Learning to count everything
Maša Kljun, Matija Teršek, Domen Vreš
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[Re] Reproduction and Extension of "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"
Erica Eaton, Pirouz Naghavi
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[Re] Differentiable Spatial Planning using Transformers
Rohit Ranjan, Himadri Bhakta, Animesh Jha, Parv Maheshwari
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[Re] Replication study of 'Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling'
Vera Neplenbroek, Sabijn Perdijk, Victor Prins
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[Re] Understanding Self-Supervised Learning Dynamics without Contrastive Pairs
Tobias Höppe, Agnieszka Miszkurka, Dennis Bogatov Wilkman
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[Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
Andy Chen, Shion Matsumoto, Rohan Sinha Varma
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[Re] Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Aryan Mehta, Karan Uppal, Kaushal Jadhav, Monish Natarajan, Mradul Agrawal, Debashish Chakravarty
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[Re] Reproduction Study of Variational Fair Clustering
Floor Eijkjelboom, Mark Fokkema, Anna Lau, Luuk Verheijen
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[Re] Replication Study of DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Velizar Shulev, Paul Verhagen, Shuai Wang, Jennifer Zhuge
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[Re] Reproducibility Study of “Counterfactual Generative Networks”
Piyush Bagad, Paul Hilders, Jesse Maas, Danilo de Goede
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[Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Urša Zrimšek
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[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation
Doğa Yılmaz, Furkan Kınlı, Barış Özcan, Furkan Kıraç
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