Papers
938 papers found
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference
Charles C. Margossian, Lawrence K. Saul
Towards better certified segmentation via diffusion models
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon et al.
Towards Physically Reliable Molecular Representation Learning
Seunghoon Yi, Youngwoo Cho, Jinhwan Sul et al.
Transfer learning for individual treatment effect estimation
Ahmed Aloui, Juncheng Dong, Cat P Le et al.
Two-phase Attacks in Security Games
Andrzej Nagorko, Pawel Ciosmak, Tomasz Michalak
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration
Shuang Ao, Stefan Rueger, Advaith Siddharthan
Two-stage holistic and contrastive explanation of image classification
Weiyan Xie, Xiao-Hui Li, Zhi Lin et al.
Two-stage Kernel Bayesian Optimization in High Dimensions
Jian Tan, Niv Nayman
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
Yue Wu, Jiafan He, Quanquan Gu
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata et al.
Vacant holes for unsupervised detection of the outliers in compact latent representation
Misha Glazunov, Apostolis Zarras
Validation of composite systems by discrepancy propagation
David Reeb, Kanil Patel, Karim Said Barsim et al.
Variable importance matching for causal inference
Quinn Lanners, Harsh Parikh, Alexander Volfovsky et al.
ViBid: Linear Vision Transformer with Bidirectional Normalization
Jeonggeun Song, Heung-Chang Lee
When are post-hoc conceptual explanations identifiable?
Tobias Leemann, Michael Kirchhof, Yao Rong et al.
Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings
Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski
$\ell_∞$-Bounds of the MLE in the BTL Model under General Comparison Graphs
Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders
Aurghya Maiti, Vineet Nair, Gaurav Sinha
A competitive analysis of online failure-aware assignment
Mengjing Chen, Pingzhong Tang, Zihe Wang et al.
Active approximately metric-fair learning
Yiting Cao, Chao Lan
Active learning with label comparisons
Gal Yona, Shay Moran, Gal Elidan et al.
AdaCat: Adaptive categorical discretization for autoregressive models
Qiyang Li, Ajay Jain, Pieter Abbeel