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Learning Efficient Algorithms with Hierarchical Attentive Memory

9 February 2016

Marcin Andrychowicz

Karol Kurach

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Papers citing "Learning Efficient Algorithms with Hierarchical Attentive Memory"

28 / 28 papers shown

Exact Learning of Arithmetic with Differentiable Agents

Hristo Papazov

Francesco DÁngelo

Nicolas Flammarion

121

27 Nov 2025

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers

179

29 Nov 2022

Type-driven Neural Programming by Example

Kiara Grouwstra

NAI

484

28 Aug 2020

AlignNet: Unsupervised Entity Alignment

...

Christopher P. Burgess

262

17 Jul 2020

Strong Generalization and Efficiency in Neural Programs

403

07 Jul 2020

Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths

Andreas Robinson

365

18 Mar 2020

Grammar Filtering For Syntax-Guided SynthesisAAAI Conference on Artificial Intelligence (AAAI), 2020

208

07 Feb 2020

Linear Memory NetworksInternational Conference on Artificial Neural Networks (ICANN), 2018

183

08 Nov 2018

Towards Neural Theorem Proving at Scale

244

21 Jul 2018

Contextual Memory TreesInternational Conference on Machine Learning (ICML), 2018

253

17 Jul 2018

Focused Hierarchical RNNs for Conditional Sequence Processing

192

12 Jun 2018

Recent Advances in Neural Program Synthesis

Neel Kant

NAI

231

07 Feb 2018

Learning Explanatory Rules from Noisy Data

Richard Evans

Edward Grefenstette

580

535

13 Nov 2017

Neural Program Meta-Induction

Jacob Devlin

Rudy Bunel

Rishabh Singh

Matthew J. Hausknecht

Pushmeet Kohli

223

11 Oct 2017

Glass-Box Program Synthesis: A Machine Learning Approach

Konstantina Christakopoulou

Adam Tauman Kalai

284

25 Sep 2017

Designing and building the mlpack open-source machine learning library

Ryan R. Curtin

Marcus Edel

VLM

110

17 Aug 2017

Making Neural Programming Architectures Generalize via Recursion

262

151

21 Apr 2017

Online and Linear-Time Attention by Enforcing Monotonic Alignments

368

274

03 Apr 2017

Improving the Neural GPU Architecture for Algorithm Learning

Kārlis Freivalds

Renars Liepins

412

28 Feb 2017

Divide and Conquer Networks

Alex W. Nowak

David Folqué

Joan Bruna

688

08 Nov 2016

Differentiable Programs with Neural Libraries

276

07 Nov 2016

Extensions and Limitations of the Neural GPU

Eric Price

Wojciech Zaremba

Ilya Sutskever

231

02 Nov 2016

Learning to Reason With Adaptive Computation

180

24 Oct 2016

Deep Multi-Task Learning with Shared Memory

Pengfei Liu

Xipeng Qiu

Xuanjing Huang

287

23 Sep 2016

Image-to-Markup Generation with Coarse-to-Fine Attention

339

267

16 Sep 2016

TerpreT: A Probabilistic Programming Language for Program Induction

292

127

15 Aug 2016

Adaptive Neural Compilation

232

25 May 2016

Review of state-of-the-arts in artificial intelligence with application to AI safety problem

V. Shakirov

207

11 May 2016