RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models
Martijn van Raaphorst, Egoitz Gonzalez, Marta Grasa, Paula Antequera Hernández
Poster
NeurIPS 2023 论文列表
Conference on Neural Information Processing Systems
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标题类型主题
[Re] VAE Approximation Error: ELBO and Exponential Families
Volodymyr Kyrylov, Navdeep Singh Bedi, Qianbo Zang
Poster
Reproducibility study of the Fairness-enhanced Node Representation Learning
Gijs Moens, Job De Witte, Tobias Gobel, Meggie Van den Oever
Poster
[Re] CrossWalk: Fairness-enhanced Node Representation Learning
Luca Pantea, Andrei-Eusebiu Blahovici
Poster
[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
Athanasios Charisoudis, Simon Ekman von Huth, Emil Jansson
Poster
[Re] Pure Noise to the Rescue of Insufficient Data
Ryan Lee, Seungmin Lee
Poster
Graph Clustering with Graph Neural Networks
Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
Poster
Toolbox for Multimodal Learn (scikit-multimodallearn)
Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette
Poster
MMD Aggregated Two-Sample Test
Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton
Poster
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
Poster
Concentration analysis of multivariate elliptic diffusions
Lukas Trottner, Cathrine Aeckerle-Willems, Claudia Strauch
Poster
Sparse Graph Learning from Spatiotemporal Time Series
Andrea Cini, Daniele Zambon, Cesare Alippi
Poster
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
Didong Li, Wenpin Tang, Sudipto Banerjee
Poster
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet
Poster
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data
Vaidotas Simkus, Benjamin Rhodes, Michael Gutmann
Poster
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
Poster
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
Bingqing Hu, Bin Nan
Poster
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Poster
Network Regression with Graph Laplacians
Yidong Zhou, Hans-Georg Müller
Poster
The Separation Capacity of Random Neural Networks
Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk
Poster