Papers
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin, Mathieu Laurière, Julien Pérolat et al.
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Generalized Equivariance and Preferential Labeling for GNN Node Classification
Zeyu Sun, Wenjie Zhang, Lili Mou et al.
Generalized Stochastic Matching
Alireza Farhadi, Jacob Gilbert, MohammadTaghi Hajiaghayi
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
Keyu Wu, Min Wu, Zhenghua Chen et al.
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering
Peng Shi, Patrick Ng, Feng Nan et al.
Generative Adaptive Convolutions for Real-World Noisy Image Denoising
Ruijun Ma, Shuyi Li, Bob Zhang et al.
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
Haoyu Chen, Hao Tang, Zitong Yu et al.
Geometry Interaction Knowledge Graph Embeddings
Zongsheng Cao, Qianqian Xu, Zhiyong Yang et al.
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Shuangli Li, Jingbo Zhou, Tong Xu et al.
Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)
Menglin Li, Kwan Hui Lim
GEQCA: Generic Qualitative Constraint Acquisition
Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb et al.
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
Guillermo Infante, Anders Jonsson, Vicenç Gómez
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
Peng Han, Peilin Zhao, Chan Lu et al.
Goal Recognition as Reinforcement Learning
Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi
GoTube: Scalable Statistical Verification of Continuous-Depth Models
Sophie A. Gruenbacher, Mathias Lechner, Ramin Hasani et al.
Go Wider Instead of Deeper
Fuzhao Xue, Ziji Shi, Futao Wei et al.
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract)
Jin-Duk Park, Cong Tran, Won-Yong Shin et al.
Gradient Based Activations for Accurate Bias-Free Learning
Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma et al.
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
Jingbo Sun, Li Yang, Jiaxin Zhang et al.
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci, Yani Ioannou, Cem Keskin et al.
Gradient Temporal Difference with Momentum: Stability and Convergence
Rohan Deb, Shalabh Bhatnagar
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck, Tim Räz