Papers
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang et al.
Generalized Boltzmann Machine with Deep Neural Structure
Yingru Liu, Dongliang Xie, Xin Wang
Generalized Data Augmentation for Low-Resource Translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos et al.
Generalized Distance Bribery
Dorothea Baumeister, Tobias Hogrebe, Lisa Rey
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak et al.
Generalized Linear Rule Models
Dennis Wei, Sanjeeb Dash, Tian Gao et al.
Generalized Majorization-Minimization
Sobhan Naderi Parizi, Kun He, Reza Aghajani et al.
Generalized Majorization-Minimization for Non-Convex Optimization
Hu Zhang, Pan Zhou, Yi Yang et al.
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
Generalized Maximum Entropy Estimation
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani et al.
Generalized No Free Lunch Theorem for Adversarial Robustness
Elvis Dohmatob
Generalized Off-Policy Actor-Critic
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
Generalized Planning via Abstraction: Arbitrary Numbers of Objects
León Illanes, Sheila A. McIlraith
Generalized Potential Heuristics for Classical Planning
Guillem Francès, Augusto B. Corrêa, Cedric Geissmann et al.
Generalized Score Matching for Non-Negative Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli et al.
Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schonfeld, Sayna Ebrahimi, Samarth Sinha et al.
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
Hong Chen, Yongtan Luo, Liujuan Cao et al.
Generalizing Back-Translation in Neural Machine Translation
Miguel Graça, Yunsu Kim, Julian Schamper et al.
Generalizing Eye Tracking With Bayesian Adversarial Learning
Kang Wang, Rui Zhao, Hui Su et al.
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning
Dan Su, Yan Xu, Genta Indra Winata et al.
Generalizing the theory of cooperative inference
Pei Wang, Pushpi Paranamana, Patrick Shafto