Papers
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.
Graph Stochastic Neural Networks for Semi-supervised Learning
Haibo Wang, Chuan Zhou, Xin Chen et al.
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Chaozheng Wu, Jian Chen, Qiaoyu Cao et al.
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong, Dongdong Chen, Jianmin Bao et al.
Greedy inference with structure-exploiting lazy maps
Michael Brennan, Daniele Bigoni, Olivier Zahm et al.
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Mao Ye, Lemeng Wu, Qiang Liu
Group Contextual Encoding for 3D Point Clouds
Xu Liu, Chengtao Li, Jian Wang et al.
Group-Fair Online Allocation in Continuous Time
Semih Cayci, Swati Gupta, Atilla Eryilmaz
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He, Murali Annavaram, Salman Avestimehr
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj et al.
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn, Junsu Kim, Hankook Lee et al.
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
Charles Margossian, Aki Vehtari, Daniel Simpson et al.
Handling Missing Data with Graph Representation Learning
Jiaxuan You, Xiaobai Ma, Yi Ding et al.
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu, Shunming Li, Rongfei Jia et al.
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion et al.
Hardness of Learning Neural Networks with Natural Weights
Amit Daniely, Gal Vardi
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski, Zoltan Szabo
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Simsekli, Ozan Sener, George Deligiannidis et al.
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong, Zhewei Yao, Daiyaan Arfeen et al.
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
Hamid Jalalzai, Pierre Colombo, Chloé Clavel et al.
Hedging in games: Faster convergence of external and swap regrets
Xi Chen, Binghui Peng
Heuristic Domain Adaptation
Shuhao Cui, Xuan Jin, Shuhui Wang et al.
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
Theofanis Karaletsos, Thang D Bui
Hierarchical Granularity Transfer Learning
Shaobo Min, Hongtao Xie, Hantao Yao et al.