Regularizing Towards Permutation Invariance in Recurrent Models

25 October 2020

Papers citing "Regularizing Towards Permutation Invariance in Recurrent Models"

10 / 10 papers shown

Title
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 28 0 0 28 Sep 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences Runpeng Dai Jianing Wang Fan Zhou S. Luo Zhiwei Qin Chengchun Shi Hongtu Zhu CML OffRL 27 0 0 25 Jul 2024
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embedding Wee Chaimanowong Ying Zhu 33 0 0 04 Mar 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 34 1 0 04 Feb 2024
Exploring Parity Challenges in Reinforcement Learning through Curriculum Learning with Noisy Labels Bei Zhou Søren Riis 20 2 0 08 Dec 2023
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 15 12 0 16 Dec 2022
Learning Graph Search Heuristics Michal Pándy Weikang Qiu Gabriele Corso Petar Velivcković Rex Ying J. Leskovec Pietro Lio' GNN 22 8 0 07 Dec 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 28 2 0 17 Nov 2022
Impartial Games: A Challenge for Reinforcement Learning Bei Zhou Søren Riis 26 6 0 25 May 2022
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 30 14 0 13 Dec 2020