Neural Arithmetic Logic Units

1 August 2018

Papers citing "Neural Arithmetic Logic Units"

32 / 32 papers shown

Title
A Comprehensive Evaluation of Tool-Assisted Generation Strategies Alon Jacovi Avi Caciularu Jonathan Herzig Roee Aharoni Bernd Bohnet Mor Geva ELM 34 6 0 16 Oct 2023
Neural Algorithmic Reasoning Without Intermediate Supervision Gleb Rodionov Liudmila Prokhorenkova OffRL LRM OOD 31 10 0 23 Jun 2023
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets Cathy Li Emily Wenger Zeyuan Allen-Zhu François Charton Kristin E. Lauter AAML 25 10 0 20 Jun 2023
Learning to solve arithmetic problems with a virtual abacus Flavio Petruzzellis Ling-Hao Chen Alberto Testolin 34 1 0 17 Jan 2023
Logical Tasks for Measuring Extrapolation and Rule Comprehension Ippei Fujisawa Ryota Kanai ELM LRM 28 4 0 14 Nov 2022
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity Bhumika Mistry K. Farrahi Jonathon S. Hare AAML 16 0 0 10 Nov 2022
Physics Informed Symbolic Networks Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande L. Vig Venkataramana Runkana PINN 26 0 0 11 Jul 2022
Open World Learning Graph Convolution for Latency Estimation in Routing Networks Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis 13 1 0 08 Jul 2022
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation Samuel Cognolato Alberto Testolin 42 7 0 06 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 88 0 31 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Deep Symbolic Regression for Recurrent Sequences Stéphane dÁscoli Pierre-Alexandre Kamienny Guillaume Lample Franccois Charton 47 54 0 12 Jan 2022
Linear algebra with transformers Franccois Charton AIMat 29 56 0 03 Dec 2021
Learning Division with Neural Arithmetic Logic Modules Bhumika Mistry K. Farrahi Jonathon S. Hare 22 0 0 11 Oct 2021
Truth-Conditional Captioning of Time Series Data Harsh Jhamtani Taylor Berg-Kirkpatrick AI4TS 38 7 0 05 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics Sean Welleck Peter West Jize Cao Yejin Choi 21 28 0 28 Sep 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Representing Numbers in NLP: a Survey and a Vision Avijit Thawani Jay Pujara Pedro A. Szekely Filip Ilievski 32 114 0 24 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Investigating the Limitations of Transformers with Simple Arithmetic Tasks Rodrigo Nogueira Zhiying Jiang Jimmy J. Li LRM 24 122 0 25 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules Segwang Kim Hyoungwook Nam Joonyoung Kim Kyomin Jung NAI 72 11 0 13 Jan 2021
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 21 43 0 23 Oct 2020
An Empirical Investigation of Contextualized Number Prediction Daniel M. Spokoyny Taylor Berg-Kirkpatrick AI4TS 27 34 0 20 Oct 2020
It's Hard for Neural Networks To Learn the Game of Life Jacob Mitchell Springer Garrett Kenyon 19 21 0 03 Sep 2020
Recognizing Variables from their Data via Deep Embeddings of Distributions Jonas W. Mueller Alex Smola 8 9 0 11 Sep 2019
Neural Logic Rule Layers Jan Niclas Reimann Andreas Schwung NAI AI4CE 14 12 0 01 Jul 2019
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 8 29 0 17 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 35 239 0 11 Jun 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 16 9 0 09 May 2019
Neural network gradient-based learning of black-box function interfaces Alon Jacovi Guy Hadash Einat Kermany Boaz Carmeli Ofer Lavi George Kour Jonathan Berant 16 13 0 13 Jan 2019
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 396 0 19 Nov 2018