Papers
11,955 papers found
Graph Neural Networks for Link Prediction with Subgraph Sketching
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi et al.
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
Chao Chen, Haoyu Geng, Gang Zeng et al.
Gray-Box Gaussian Processes for Automated Reinforcement Learning
Gresa Shala, André Biedenkapp, Frank Hutter et al.
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
Samuel Neumann, Sungsu Lim, Ajin George Joseph et al.
GReTo: Remedying dynamic graph topology-task discordance via target homophily
Zhengyang Zhou, Qihe Huang, Gengyu Lin et al.
Gromov-Wasserstein Autoencoders
Nao Nakagawa, Ren Togo, Takahiro Ogawa et al.
Grounding Graph Network Simulators using Physical Sensor Observations
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl et al.
Guarded Policy Optimization with Imperfect Online Demonstrations
Zhenghai Xue, Zhenghao Peng, Quanyi Li et al.
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye, Doyoung Kim, Joel Jang et al.
Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad, Gaurav Gupta, Shima Alizadeh et al.
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee, Jongheon Jeong, Sejun Park et al.
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson, Swarat Chaudhuri, Isil Dillig
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Xue Yang, Gefan Zhang, Wentong Li et al.
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu, Megan Stanley, John F Bronskill et al.
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes et al.
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Zhuo Huang, Xiaobo Xia, Li Shen et al.
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan, Zhongfan Jia, Qian Li et al.
Hebbian Deep Learning Without Feedback
Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo et al.
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty, Saibal Mukhopadhyay
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Shijie Geng, Jianbo Yuan, Yu Tian et al.
Hidden Markov Transformer for Simultaneous Machine Translation
Shaolei Zhang, Yang Feng
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang, Alyssa Li Dayan, Franziska Meier et al.
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
Han Wu, Jie Yin, Bala Rajaratnam et al.
Hierarchical Sliced Wasserstein Distance
Khai Nguyen, Tongzheng Ren, Huy Nguyen et al.
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
Chang Li, Dongjin Song, Dacheng Tao