Papers
Fundamental Tradeoffs in Distributionally Adversarial Training
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi et al.
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Renjie Zheng, Junkun Chen, Mingbo Ma et al.
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer, Alejandro J Ordóñez Conejo, Korbinian A Maier et al.
GBHT: Gradient Boosting Histogram Transform for Density Estimation
Jingyi Cui, Hanyuan Hang, Yisen Wang et al.
Generalised Lipschitz Regularisation Equals Distributional Robustness
Zac Cranko, Zhan Shi, Xinhua Zhang et al.
Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu, Jianing Ye, Guangxiang Zhu et al.
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Pierre Laforgue, Guillaume Staerman, Stephan Clémençon
Generalization Error Bound for Hyperbolic Ordinal Embedding
Atsushi Suzuki, Atsushi Nitanda, Jing Wang et al.
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
Generalized Doubly Reparameterized Gradient Estimators
Matthias Bauer, Andriy Mnih
Generating images with sparse representations
Charlie Nash, Jacob Menick, Sander Dieleman et al.
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park, Dong Wook Shu, Junseok Kwon
Generative Adversarial Transformers
Drew A Hudson, Larry Zitnick
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin, Hao Lan, Baochun Li
Generative Particle Variational Inference via Estimation of Functional Gradients
Neale Ratzlaff, Qinxun Bai, Li Fuxin et al.
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
GeomCA: Geometric Evaluation of Data Representations
Petra Poklukar, Anastasiia Varava, Danica Kragic
Geometric convergence of elliptical slice sampling
Viacheslav Natarovskii, Daniel Rudolf, Björn Sprungk
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Simsek, François Ged, Arthur Jacot et al.
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Weichen Wang, Jiequn Han, Zhuoran Yang et al.
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian W Ober, Laurence Aitchison
Globally-Robust Neural Networks
Klas Leino, Zifan Wang, Matt Fredrikson
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen, Mert Pilanci
Global Prosody Style Transfer Without Text Transcriptions
Kaizhi Qian, Yang Zhang, Shiyu Chang et al.