End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking

11 February 2022

Furong Huang

Papers citing "End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking"

22 / 22 papers shown

Title
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 40 0 0 17 Apr 2025
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks Guilherme Palma P. A. Santos João Dias 46 0 0 20 Feb 2025
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 84 5 0 28 Oct 2024
Transformers Can Do Arithmetic with the Right Embeddings Sean McLeish Arpit Bansal Alex Stein Neel Jain John Kirchenbauer ... B. Kailkhura A. Bhatele Jonas Geiping Avi Schwarzschild Tom Goldstein 53 28 0 27 May 2024
Benchmarking ChatGPT on Algorithmic Reasoning Sean McLeish Avi Schwarzschild Tom Goldstein AI4MH LRM 45 4 0 04 Apr 2024
Looped Transformers are Better at Learning Learning Algorithms Liu Yang Kangwook Lee Robert D. Nowak Dimitris Papailiopoulos 29 24 0 21 Nov 2023
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels Vijay Veerabadran Srinivas Ravishankar Yuan Tang Ritik Raina Virginia R. de Sa 19 4 0 12 Nov 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning Julian Minder Florian Grötschla Joël Mathys Roger Wattenhofer 29 8 0 21 Sep 2023
Grounded Image Text Matching with Mismatched Relation Reasoning Yu Wu Yan-Tao Wei Haozhe Jasper Wang Yongfei Liu Sibei Yang Xuming He 36 6 0 02 Aug 2023
Length Generalization in Arithmetic Transformers Samy Jelassi Stéphane dÁscoli Carles Domingo-Enrich Yuhuai Wu Yuan-Fang Li Franccois Charton 30 38 0 27 Jun 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas J. Guibas 3DPC 33 17 0 25 May 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 39 26 0 20 Feb 2023
Adaptive Computation with Elastic Input Sequence Fuzhao Xue Valerii Likhosherstov Anurag Arnab N. Houlsby Mostafa Dehghani Yang You 31 19 0 30 Jan 2023
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 29 17 0 18 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension Ippei Fujisawa Ryota Kanai ELM LRM 28 4 0 14 Nov 2022
Transformers Learn Shortcuts to Automata Bingbin Liu Jordan T. Ash Surbhi Goel A. Krishnamurthy Cyril Zhang OffRL LRM 48 156 0 19 Oct 2022
A Generalist Neural Algorithmic Learner Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 32 53 0 22 Sep 2022
Exploring Length Generalization in Large Language Models Cem Anil Yuhuai Wu Anders Andreassen Aitor Lewkowycz Vedant Misra V. Ramasesh Ambrose Slone Guy Gur-Ari Ethan Dyer Behnam Neyshabur ReLM LRM 33 159 0 11 Jul 2022
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 107 131 0 05 Jul 2022
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 698 0 27 Aug 2021
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 102 81 0 12 Jul 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 348 0 18 Feb 2021