Papers
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett et al.
Gacs-Korner Common Information Variational Autoencoder
Michael Kleinman, Alessandro Achille, Stefano Soatto et al.
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang, Fengrui Hua, Ziqi Gao et al.
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen, Junjie Li, Xiaoyang Qu et al.
GALOPA: Graph Transport Learning with Optimal Plan Alignment
Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang et al.
Game Solving with Online Fine-Tuning
Ti-Rong Wu, Hung Guei, Ting Han Wei et al.
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
Ziang Li, Mengda Yang, Yaxin Liu et al.
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths, Leo Klarner, Henry Moss et al.
Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang, Xiaotian Chang, Yi Liu et al.
Gaussian Membership Inference Privacy
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Gaussian Mixture Solvers for Diffusion Models
Hanzhong Guo, Cheng Lu, Fan Bao et al.
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Praveen Venkatesh, Corbett Bennett, Sam Gale et al.
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Zi Wang, Alexander Ku, Jason Baldridge et al.
Generalised f-Mean Aggregation for Graph Neural Networks
Ryan Kortvelesy, Steven Morad, Amanda Prorok
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
Generalizable One-shot 3D Neural Head Avatar
Xueting Li, Shalini De Mello, Sifei Liu et al.
Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld, Katrina Ligett
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Richard Gao, Michael Deistler, Jakob H Macke
Generalized Belief Transport
Junqi Wang, PEI WANG, Patrick Shafto
Generalized equivalences between subsampling and ridge regularization
Pratik Patil, Jin-Hong Du
Generalized Information-theoretic Multi-view Clustering
Weitian Huang, Sirui Yang, Hongmin Cai
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu, Kaihua Tang, QIANRU SUN et al.
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang, RuiBing Hou, Hong Chang et al.
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski et al.