Making Neural Programming Architectures Generalize via Recursion

21 April 2017

Papers citing "Making Neural Programming Architectures Generalize via Recursion"

50 / 89 papers shown

Title
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct Haipeng Luo Qingfeng Sun Can Xu Pu Zhao Jian-Guang Lou ... Xiubo Geng Qingwei Lin Shifeng Chen Yansong Tang Dongmei Zhang OSLM LRM 110 415 0 03 Jan 2025
Learning Iterative Reasoning through Energy Diffusion Yilun Du Jiayuan Mao Joshua B. Tenenbaum LRM PINN 50 6 0 17 Jun 2024
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping Lucas Lehnert Sainbayar Sukhbaatar DiJia Su Qinqing Zheng Paul Mcvay Michael Rabbat Yuandong Tian 37 54 0 21 Feb 2024
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning Rim Assouel Pau Rodríguez Perouz Taslakian David Vazquez Yoshua Bengio LRM OCL 21 0 0 28 Oct 2023
Large Language Models can Learn Rules Zhaocheng Zhu Yuan Xue Xinyun Chen Denny Zhou Jian Tang Dale Schuurmans Hanjun Dai LRM ReLM 41 63 0 10 Oct 2023
Teaching Arithmetic to Small Transformers Nayoung Lee Kartik K. Sreenivasan Jason D. Lee Kangwook Lee Dimitris Papailiopoulos LRM 32 82 0 07 Jul 2023
Neuro-Symbolic Sudoku Solver Ashutosh Hathidara Lalit Pandey 21 0 0 02 Jul 2023
Recursive Algorithmic Reasoning Jonas Jürß Dulhan Jayalath Petar Velickovic 38 7 0 01 Jul 2023
Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models Soochan Lee Gunhee Kim ReLM LRM 33 26 0 12 Jun 2023
Learning Transformer Programs Dan Friedman Alexander Wettig Danqi Chen 36 32 0 01 Jun 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 38 0 0 25 May 2023
Hierarchical Neural Program Synthesis Linghan Zhong Ryan Lindeborg Jesse Zhang Joseph J. Lim Shao-Hua Sun 32 9 0 09 Mar 2023
Solving math word problems with process- and outcome-based feedback J. Uesato Nate Kushman Ramana Kumar Francis Song Noah Y. Siegel L. Wang Antonia Creswell G. Irving I. Higgins FaML ReLM AIMat LRM 42 293 0 25 Nov 2022
Synthesizing Programs with Continuous Optimization Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich A. Muzahid 19 2 0 02 Nov 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks Tushar Khot H. Trivedi Matthew Finlayson Yao Fu Kyle Richardson Peter Clark Ashish Sabharwal ReLM LRM 70 420 0 05 Oct 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Learning Iterative Reasoning through Energy Minimization Yilun Du Shuang Li J. Tenenbaum Igor Mordatch PINN 33 23 0 30 Jun 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 416 8,650 0 28 Jan 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability Kyle Richardson Ashish Sabharwal ReLM LRM 35 24 0 16 Dec 2021
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning Simon Alford Anshul Gandhi Akshay Rangamani Andrzej Banburski Tony Wang Sylee Dandekar John Chin T. Poggio S. Chin LRM 103 21 0 22 Oct 2021
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks P. Ofner Roman Kern 30 1 0 18 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 208 631 0 20 May 2021
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers Daniel Tanneberg Elmar Rueckert Jan Peters 38 6 0 17 May 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units A. Mali Alexander Ororbia Daniel Kifer C. Lee Giles 14 16 0 07 Apr 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
Understanding in Artificial Intelligence S. Maetschke D. M. Iraola Pieter Barnard Elaheh Shafieibavani Peter Zhong Ying Xu Antonio Jimeno Yepes ELM VLM 24 0 0 17 Jan 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 24 43 0 23 Oct 2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis Qingyun Wang Qi Zeng Lifu Huang Kevin Knight Heng Ji Nazneen Rajani 25 54 0 13 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization Ekin Akyürek Afra Feyza Akyürek Jacob Andreas 29 79 0 08 Oct 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
Type-driven Neural Programming by Example Kiara Grouwstra NAI 32 1 0 28 Aug 2020
Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen Chen Liang Adams Wei Yu D. Song Denny Zhou BDL 14 99 0 15 Aug 2020
Strong Generalization and Efficiency in Neural Programs Yujia Li Felix Gimeno Pushmeet Kohli Oriol Vinyals 22 17 0 07 Jul 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning" Saeed Amizadeh Hamid Palangi Oleksandr Polozov Yichen Huang K. Koishida NAI LRM 39 58 0 20 Jun 2020
Neural Execution Engines: Learning to Execute Subroutines Yujun Yan Kevin Swersky Danai Koutra Parthasarathy Ranganathan Milad Hashemi NAI 8 40 0 15 Jun 2020
Neural Status Registers Lukas Faber Roger Wattenhofer 30 9 0 15 Apr 2020
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths Andreas Robinson 42 0 0 18 Mar 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020
Synthetic Datasets for Neural Program Synthesis Richard Shin Neel Kant Kavi Gupta Christopher M. Bender Brandon Trabucco Rishabh Singh D. Song NAI 16 45 0 27 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning Ravit Dotan S. Milli AILaw 27 48 0 03 Dec 2019
Experiments with a PCCoder extension Mircea Dan Hernest 6 0 0 26 Nov 2019
Compositional Generalization with Tree Stack Memory Units Forough Arabshahi Zhichu Lu Pranay Mundra Sameer Singh Anima Anandkumar 9 10 0 05 Nov 2019
Regression Planning Networks Danfei Xu Roberto Martín-Martín De-An Huang Yuke Zhu Silvio Savarese Li Fei-Fei 20 57 0 28 Sep 2019
Learning Fitness Functions for Machine Programming Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich Sheng-Tian Zhou A. Muzahid 29 11 0 22 Aug 2019
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations Honglie Chen Weidi Xie Andrea Vedaldi Andrew Zisserman 17 14 0 14 Aug 2019
Neurally-Guided Structure Inference Sidi Lu Jiayuan Mao J. Tenenbaum Jiajun Wu 6 7 0 17 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 41 41 0 30 May 2019