Learning Simple Algorithms from Examples

23 November 2015

Papers citing "Learning Simple Algorithms from Examples"

25 / 25 papers shown

Title
Learning Program Behavioral Models from Synthesized Input-Output Pairs Tural Mammadov Dietrich Klakow Alexander Koller Andreas Zeller 45 3 0 11 Jul 2024
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
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
UnweaveNet: Unweaving Activity Stories Will Price Carl Vondrick Dima Damen EgoV 29 13 0 19 Dec 2021
Linear algebra with transformers Franccois Charton AIMat 29 56 0 03 Dec 2021
Learning compositional programs with arguments and sampling Giovanni De Toni L. Erculiani Andrea Passerini 35 3 0 01 Sep 2021
Language Inference with Multi-head Automata through Reinforcement Learning Alper Şekerci Özlem Salehi AI4CE 22 0 0 20 Oct 2020
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 32 50 0 08 Nov 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
Neural Program Meta-Induction Jacob Devlin Rudy Bunel Rishabh Singh Matthew J. Hausknecht Pushmeet Kohli 43 72 0 11 Oct 2017
Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen Chang-rui Liu D. Song NAI 21 11 0 05 Jun 2017
Inferring and Executing Programs for Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Judy Hoffman Li Fei-Fei C. L. Zitnick Ross B. Girshick NAI 26 541 0 10 May 2017
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 32 146 0 21 Apr 2017
Improving the Neural GPU Architecture for Algorithm Learning Kārlis Freivalds Renars Liepins 25 43 0 28 Feb 2017
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 36 566 0 07 Nov 2016
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
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan J. Lowe Joelle Pineau Aaron Courville Yoshua Bengio 57 635 0 24 Jul 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes Çağlar Gülçehre A. Chandar Kyunghyun Cho Yoshua Bengio 20 64 0 30 Jun 2016
Common-Description Learning: A Framework for Learning Algorithms and Generating Subproblems from Few Examples Basem G. El-Barashy 24 0 0 01 May 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 27 649 0 09 Feb 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 30 18 0 07 Feb 2016
MazeBase: A Sandbox for Learning from Games Sainbayar Sukhbaatar Arthur Szlam Gabriel Synnaeve Soumith Chintala Rob Fergus 14 80 0 23 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 42 405 0 19 Nov 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 75 2,751 0 20 Feb 2015