Papers
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Tanner Fiez, Lillian Ratliff, Eric Mazumdar et al.
Global Filter Networks for Image Classification
Yongming Rao, Wenliang Zhao, Zheng Zhu et al.
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim, Min Whoo Lee, Yoonsung Kim et al.
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang, Kaixuan Huang, Sham Kakade et al.
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie, Imanol Schlag, Róbert Csordás et al.
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan Ash, Surbhi Goel, Akshay Krishnamurthy et al.
Good Classification Measures and How to Find Them
Martijn Gösgens, Anton Zhiyanov, Aleksey Tikhonov et al.
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Yunhui Long, Boxin Wang, Zhuolin Yang et al.
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz et al.
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin, Arka Sadhu, Junyi Du et al.
Gradient-based Hyperparameter Optimization Over Long Horizons
Paul Micaelli, Amos J. Storkey
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Kaifeng Lyu, Zhiyuan Li, Runzhe Wang et al.
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
Xinyi Xu, Lingjuan Lyu, Xingjun Ma et al.
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
Yu Shen, Laura Zheng, Manli Shu et al.
Gradient Inversion with Generative Image Prior
Jinwoo Jeon, jaechang Kim, Kangwook Lee et al.
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio et al.
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Chen Zhu, Renkun Ni, Zheng Xu et al.
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen, Wei-Lun Chao
Grammar-Based Grounded Lexicon Learning
Jiayuan Mao, Freda Shi, Jiajun Wu et al.
Graph Adversarial Self-Supervised Learning
Longqi Yang, Liangliang Zhang, Wenjing Yang
Graph Differentiable Architecture Search with Structure Learning
Yijian Qin, Xin Wang, Zeyang Zhang et al.
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang, Zheng Liu, Shitao Xiao et al.
Graphical Models in Heavy-Tailed Markets
Jose Vinicius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar