permutation invariance

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Graph Ordering Attention Networks AAAI 2023 HyTrel: Hypergraph-enhanced Tabular Data Representation Learning NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion CVPR 2023 On Representing Linear Programs by Graph Neural Networks ICLR 2023 PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor AAAI 2023 Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023 REPAIR: REnormalizing Permuted Activations for Interpolation Repair ICLR 2023 Robust and Controllable Object-Centric Learning through Energy-based Models ICLR 2023 Testing of Index-Invariant Properties in the Huge Object Model COLT 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 What can a Single Attention Layer Learn? A Study Through the Random Features Lens NeurIPS 2023 Equilibrium aggregation: encoding sets via optimization UAI 2022 Federated Learning With Position-Aware Neurons CVPR 2022 Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022 Graph Neural Network Bandits NeurIPS 2022 Graph Neural Networks with Adaptive Readouts NeurIPS 2022 How to Train Your MAML to Excel in Few-Shot Classification ICLR 2022 Learning functions on multiple sets using multi-set transformers UAI 2022 Learning Neural Set Functions Under the Optimal Subset Oracle NeurIPS 2022 Learning Prototype-oriented Set Representations for Meta-Learning ICLR 2022 Neural Processes with Stochastic Attention: Paying more attention to the context dataset ICLR 2022 Permutation Invariant Strategy Using Transformer Encoders for Table Understanding NAACL 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022