Differentiable Programs with Neural Libraries

7 November 2016

Papers citing "Differentiable Programs with Neural Libraries"

22 / 22 papers shown

Title
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Nikola Zubić Federico Soldá Aurelio Sulser Davide Scaramuzza LRM BDL 52 5 0 26 May 2024
A differentiable programming framework for spin models T. S. Farias V. V. Schultz José C. M. Mombach Jonas Maziero 35 0 0 04 Apr 2023
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss Vedant Shah Aditya Agrawal L. Vig A. Srinivasan Gautam M. Shroff T. Verlekar AI4CE 29 0 0 29 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 1 0 22 Nov 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
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 29 10 0 13 Jun 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 28 15 0 07 Mar 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 34 14 0 15 Jan 2022
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language Shuyan Zhou Pengcheng Yin Graham Neubig LM&Ro 19 1 0 16 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
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
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 149 43 0 23 Jul 2020
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning Yuhuai Wu Honghua Dong Roger C. Grosse Jimmy Ba CoGe 24 67 0 08 Jul 2020
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 25 20 0 27 Feb 2019
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 118 3,083 0 04 Jun 2018
HOUDINI: Lifelong Learning as Program Synthesis Lazar Valkov Dipak Chaudhari Akash Srivastava Charles Sutton Swarat Chaudhuri 24 79 0 31 Mar 2018
Tunneling Neural Perception and Logic Reasoning through Abductive Learning Wang-Zhou Dai Qiu-Ling Xu Yang Yu Zhi-Hua Zhou LRM AI4CE 24 22 0 04 Feb 2018
TerpreT: A Probabilistic Programming Language for Program Induction Alexander L. Gaunt Marc Brockschmidt Rishabh Singh Nate Kushman Pushmeet Kohli Jonathan Taylor Daniel Tarlow 35 123 0 15 Aug 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 41 51 0 09 Feb 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 525 0 27 Jun 2012