Neural Programmer-Interpreters

19 November 2015

Papers citing "Neural Programmer-Interpreters"

50 / 80 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 110 408 0 03 Jan 2025
PhotoScout: Synthesis-Powered Multi-Modal Image Search Celeste Barnaby Qiaochu Chen Chenglong Wang Işıl Dillig 37 2 0 19 Jan 2024
Large Language Models can Learn Rules Zhaocheng Zhu Yuan Xue Xinyun Chen Denny Zhou Jian Tang Dale Schuurmans Hanjun Dai LRM ReLM 30 63 0 10 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 25 0 0 25 May 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 36 20 0 03 Apr 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
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 70 416 0 05 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family Ashwin Hebbar Viraj Nadkarni Ashok Vardhan Makkuva S. Bhat Sewoong Oh Pramod Viswanath 27 6 0 01 Oct 2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation Qiming Bao A. Peng Tim Hartill N. Tan Zhenyun Deng Michael Witbrock Jiamou Liu ReLM OOD NAI LRM 29 13 0 28 Jul 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 56 787 0 12 May 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber Rishab Goel Daniel Zheng Hugo Larochelle Daniel Tarlow 16 15 0 07 Mar 2022
UnweaveNet: Unweaving Activity Stories Will Price Carl Vondrick Dima Damen EgoV 19 13 0 19 Dec 2021
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability Kyle Richardson Ashish Sabharwal ReLM LRM 27 24 0 16 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye Anders Andreassen Guy Gur-Ari Henryk Michalewski Jacob Austin ... Aitor Lewkowycz Maarten Bosma D. Luan Charles Sutton Augustus Odena ReLM LRM 57 702 0 30 Nov 2021
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks P. Ofner Roman Kern 25 1 0 18 Oct 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 27 9 0 18 Sep 2021
Learning compositional programs with arguments and sampling Giovanni De Toni L. Erculiani Andrea Passerini 29 3 0 01 Sep 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
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 23 50 0 06 Jul 2021
Neural Algorithmic Reasoning Petar Velickovic Charles Blundell NAI OOD 14 99 0 06 May 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
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 64 11 0 13 Jan 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 46 73 0 08 Jan 2021
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 26 14 0 17 Nov 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 13 43 0 23 Oct 2020
Controllable Text Simplification with Explicit Paraphrasing Mounica Maddela Fernando Alva-Manchego Wenyuan Xu 21 98 0 21 Oct 2020
PRover: Proof Generation for Interpretable Reasoning over Rules Swarnadeep Saha Sayan Ghosh Shashank Srivastava Joey Tianyi Zhou ReLM LRM 23 77 0 06 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
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 137 43 0 23 Jul 2020
Fact-based Text Editing Hayate Iso Chao Qiao Hang Li KELM 39 23 0 02 Jul 2020
Neural CRF Model for Sentence Alignment in Text Simplification Chao Jiang Mounica Maddela Wuwei Lan Yang Zhong Wenyuan Xu 17 157 0 05 May 2020
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths Andreas Robinson 42 0 0 18 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning Minghao Hu Yuxing Peng Zhen Huang Dongsheng Li AIMat LRM 26 90 0 15 Aug 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 24 541 0 18 Jul 2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling Feras A. Saad Marco F. Cusumano-Towner Ulrich Schaechtle Martin Rinard Vikash K. Mansinghka 27 58 0 14 Jul 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 11 44 0 08 Jul 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Yue Dong Zichao Li Mehdi Rezagholizadeh Jackie C.K. Cheung 18 157 0 19 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden Lake CoGe 25 196 0 12 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 17 31 0 03 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 33 41 0 30 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 22 96 0 08 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 11 13 0 13 Jan 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 16 230 0 18 Oct 2018
Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William E. Byrd M. Might R. Urtasun R. Zemel NAI 11 30 0 08 Sep 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 19 203 0 01 Aug 2018