Papers
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman, Jan Vondrak
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang, Mert Sabuncu
Generalized Inverse Optimization through Online Learning
Chaosheng Dong, Yiran Chen, Bo Zeng
Generalized Zero-Shot Learning with Deep Calibration Network
Shichen Liu, Mingsheng Long, Jianmin Wang et al.
Generalizing Graph Matching beyond Quadratic Assignment Model
Tianshu Yu, Junchi Yan, Yilin Wang et al.
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
Boris Muzellec, Marco Cuturi
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi, Hongseok Namkoong, Ozan Sener et al.
Generalizing Tree Probability Estimation via Bayesian Networks
Cheng Zhang, Frederick A Matsen IV
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao et al.
Generative modeling for protein structures
Namrata Anand, Possu Huang
Generative Neural Machine Translation
Harshil Shah, David Barber
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi, Ranya Almohsen, Gianfranco Doretto
Genetic-Gated Networks for Deep Reinforcement Learning
Simyung Chang, John Yang, Jaeseok Choi et al.
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
Kush Bhatia, Aldo Pacchiano, Nicolas Flammarion et al.
Geometrically Coupled Monte Carlo Sampling
Mark Rowland, Krzysztof M Choromanski, François Chalus et al.
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki
Geometry Based Data Generation
Ofir Lindenbaum, Jay Stanley, Guy Wolf et al.
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu et al.
GILBO: One Metric to Measure Them All
Alexander A Alemi, Ian Fischer
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen, Difan Zou et al.
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
Qilong Wang, Zilin Gao, Jiangtao Xie et al.
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li, Yoram Bresler
Global Non-convex Optimization with Discretized Diffusions
Murat A Erdogdu, Lester Mackey, Ohad Shamir
GLoMo: Unsupervised Learning of Transferable Relational Graphs
Zhilin Yang, Jake Zhao, Bhuwan Dhingra et al.
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma, Prafulla Dhariwal