Papers
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar et al.
Gender De-Biasing in Speech Emotion Recognition
Cristina Gorrostieta, Reza Lotfian, Kye Taylor et al.
Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019
Kellie Webster, Marta R. Costa-jussà, Christian Hardmeier et al.
Gender-preserving Debiasing for Pre-trained Word Embeddings
Masahiro Kaneko, Danushka Bollegala
GenderQuant: Quantifying Mention-Level Genderedness
Ananya, Nitya Parthasarthi, Sameer Singh
General E(2)-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
General Identifiability with Arbitrary Surrogate Experiments
Sanghack Lee, Juan D. Correa, Elias Bareinboim
Generalising Fine-Grained Sketch-Based Image Retrieval
Kaiyue Pang, Ke Li, Yongxin Yang et al.
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia, Jesse Zhang, David Tse
Generalizable Person Re-Identification by Domain-Invariant Mapping Network
Jifei Song, Yongxin Yang, Yi-Zhe Song et al.
Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely, Elad Granot
Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas et al.
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao, Quanquan Gu
Generalization Error Analysis of Quantized Compressive Learning
Xiaoyun Li, Ping Li
Generalization in Generation: A closer look at Exposure Bias
Florian Schmidt
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu, Shiwan Zhao, Chaochao Chen et al.
Generalization in multitask deep neural classifiers: a statistical physics approach
Anthony Ndirango, Tyler Lee
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li et al.
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner et al.
Generalize Across Tasks: Efficient Algorithms for Linear
Representation Learning
Brian Bullins, Elad Hazan, Adam Kalai et al.
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Carlo Lucibello, Luca Saglietti, Yue Lu
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan, Zheng Feng, Matthew Norton et al.