Papers
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner et al.
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang et al.
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
Generalized Off-Policy Actor-Critic
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli et al.
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Tao Sun, Yuejiao Sun, Dongsheng Li et al.
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
Generative Models for Graph-Based Protein Design
John Ingraham, Vikas Garg, Regina Barzilay et al.
Generative Well-intentioned Networks
Justin Cosentino, Jun Zhu
GENO -- GENeric Optimization for Classical Machine Learning
Soeren Laue, Matthias Mitterreiter, Joachim Giesen
Geometry-Aware Neural Rendering
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu, Zehong Shen, Zhixuan Lin et al.
Global Convergence of Gradient Descent for Deep Linear Residual Networks
Lei Wu, Qingcan Wang, Chao Ma
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Wei Qian, Yuqian Zhang, Yudong Chen
Global Guarantees for Blind Demodulation with Generative Priors
Paul Hand, Babhru Joshi
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
Globally Optimal Learning for Structured Elliptical Losses
Yoav Wald, Nofar Noy, Gal Elidan et al.
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
Bryon Aragam, Arash Amini, Qing Zhou
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding, guiguang ding, Xiangxin Zhou et al.
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang et al.
GNNExplainer: Generating Explanations for Graph Neural Networks
Zhitao Ying, Dylan Bourgeois, Jiaxuan You et al.
Goal-conditioned Imitation Learning
Yiming Ding, Carlos Florensa, Pieter Abbeel et al.
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran, Joshua Romoff, Nicolas Ballas et al.
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia et al.