Papers
Frustratingly Easy Transferability Estimation
Long-Kai Huang, Junzhou Huang, Yu Rong et al.
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet et al.
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses
Alex Lambert, Dimitri Bouche, Zoltan Szabo et al.
Function-space Inference with Sparse Implicit Processes
Simon Rodrı́guez-Santana, Bryan Zaldivar, Daniel Hernandez-Lobato
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Mingjie Li, Xiaojun Guo, Yifei Wang et al.
GACT: Activation Compressed Training for Generic Network Architectures
Xiaoxuan Liu, Lianmin Zheng, Dequan Wang et al.
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang, Julian Katz-Samuels, Robert Nowak
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu, Young Jin Kim, Alexandre Muzio et al.
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai, Shufeng Kong, Carla P Gomes
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone, Armin Lederer, Sandra Hirche
Generalised Policy Improvement with Geometric Policy Composition
Shantanu Thakoor, Mark Rowland, Diana Borsa et al.
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi, Samuele S Papa, Michele De Vita et al.
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
Liam Hodgkinson, Umut Simsekli, Rajiv Khanna et al.
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li, Meng Wang, Sijia Liu et al.
Generalized Beliefs for Cooperative AI
Darius Muglich, Luisa M Zintgraf, Christian A Schroeder De Witt et al.
Generalized Data Distribution Iteration
Jiajun Fan, Changnan Xiao
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu, Xingyu Li, Rui Duan et al.
Generalized Leverage Scores: Geometric Interpretation and Applications
Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong, Alessandro Rinaldo
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon, Nir Rosenfeld
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao, Ozan Sener
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin Qin, Shiqi Wang, Haoliang Li
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Matthieu Kirchmeyer, Yuan Yin, Jeremie Dona et al.
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea et al.