Towards Better Out-of-Distribution Generalization of Neural Algorithmic
Reasoning Tasks

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks

1 November 2022

Christos Thrampoulidis

Papers citing "Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks"

16 / 16 papers shown

Title
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 106 0 0 06 Feb 2025
Open-Book Neural Algorithmic Reasoning Hefei Li Chao Peng Chenyang Xu Zhengfeng Yang LRM 63 0 0 03 Jan 2025
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks Mahdi Sabbaghi George Pappas Hamed Hassani Surbhi Goel 45 4 0 04 Jun 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong VLM 50 2 0 29 Apr 2024
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 45 34 0 29 Oct 2023
Neural Algorithmic Reasoning Without Intermediate Supervision Gleb Rodionov Liudmila Prokhorenkova OffRL LRM OOD 38 10 0 23 Jun 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 46 26 0 20 Feb 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 51 49 0 30 Jan 2023
Neural Networks and the Chomsky Hierarchy Grégoire Delétang Anian Ruoss Jordi Grau-Moya Tim Genewein L. Wenliang ... Chris Cundy Marcus Hutter Shane Legg Joel Veness Pedro A. Ortega UQCV 109 133 0 05 Jul 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 163 89 0 31 May 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 355 3,338 0 21 Mar 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 85 54 0 01 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 447 8,699 0 28 Jan 2022
Sequence Length is a Domain: Length-based Overfitting in Transformer Models Dusan Varis Ondrej Bojar 51 57 0 15 Sep 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 172 123 0 17 Oct 2020