Papers
11,951 papers found
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
Gradient Importance Learning for Incomplete Observations
Qitong Gao, Dong Wang, Joshua David Amason et al.
Gradient Information Matters in Policy Optimization by Back-propagating through Model
Chongchong Li, Yue Wang, Wei Chen et al.
Gradient Matching for Domain Generalization
Yuge Shi, Jeffrey Seely, Philip Torr et al.
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
GradMax: Growing Neural Networks using Gradient Information
Utku Evci, Bart van Merrienboer, Thomas Unterthiner et al.
GradSign: Model Performance Inference with Theoretical Insights
Zhihao Zhang, Zhihao Jia
GRAND++: Graph Neural Diffusion with A Source Term
Matthew Thorpe, Tan Minh Nguyen, Hedi Xia et al.
Granger causal inference on DAGs identifies genomic loci regulating transcription
Alexander P Wu, Rohit Singh, Bonnie Berger
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Enyan Dai, Jie Chen
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
Mingyue Tang, Pan Li, Carl Yang
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev et al.
Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang et al.
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
Joonhyung Park, Jaeyun Song, Eunho Yang
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis et al.
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun et al.
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson, Qingbiao Li, Matthew Malencia et al.
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent et al.
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Graph-Relational Domain Adaptation
Zihao Xu, Hao He, Guang-He Lee et al.
GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga et al.
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training
PengCheng Yang, Xiaoming Zhang, Wenpeng Zhang et al.
Group equivariant neural posterior estimation
Maximilian Dax, Stephen R Green, Jonathan Gair et al.
Half-Inverse Gradients for Physical Deep Learning
Patrick Schnell, Philipp Holl, Nils Thuerey
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitian Wu, Hengrui Zhang, Junchi Yan et al.