Learning to Transduce with Unbounded Memory

8 June 2015

Papers citing "Learning to Transduce with Unbounded Memory"

50 / 60 papers shown

Title
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving Tianchen Ji Neeloy Chakraborty Andre Schreiber Katherine Rose Driggs-Campbell 179 1 0 23 Feb 2025
Scaling Transformer to 1M tokens and beyond with RMT Aydar Bulatov Yuri Kuratov Yermek Kapushev Andrey Kravchenko LRM 25 87 0 19 Apr 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks Nadine El-Naggar Pranava Madhyastha Tillman Weyde 22 1 0 07 Apr 2023
Vector Symbolic Finite State Machines in Attractor Neural Networks Madison Cotteret Hugh Greatorex Martin Ziegler Elisabetta Chicca 41 6 0 02 Dec 2022
Recurrent Memory Transformer Aydar Bulatov Yuri Kuratov Andrey Kravchenko CLL 13 102 0 14 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
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models Denny Zhou Nathanael Scharli Le Hou Jason W. Wei Nathan Scales ... Dale Schuurmans Claire Cui Olivier Bousquet Quoc Le Ed H. Chi RALM LRM AI4CE 27 1,052 0 21 May 2022
A Call for Clarity in Beam Search: How It Works and When It Stops Jungo Kasai Keisuke Sakaguchi Ronan Le Bras Dragomir R. Radev Yejin Choi Noah A. Smith 26 6 0 11 Apr 2022
UnweaveNet: Unweaving Activity Stories Will Price Carl Vondrick Dima Damen EgoV 27 13 0 19 Dec 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 32 87 0 17 Nov 2021
Learning to Navigate Intersections with Unsupervised Driver Trait Inference Shuijing Liu Peixin Chang Haonan Chen Neeloy Chakraborty Katherine Driggs-Campbell SSL DRL 47 13 0 14 Sep 2021
Formal Language Theory Meets Modern NLP William Merrill AI4CE NAI 21 12 0 19 Feb 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
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini Sebastian Riedel Pontus Stenetorp Edward Grefenstette Tim Rocktaschel LRM 45 96 0 13 Jul 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini Matko Bovsnjak Tim Rocktaschel Sebastian Riedel Edward Grefenstette LRM 18 88 0 17 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 20 311 0 04 Dec 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 24 50 0 08 Nov 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 34 0 0 01 Jul 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 27 196 0 12 Jun 2019
Sequential Neural Networks as Automata William Merrill 23 74 0 04 Jun 2019
Finding Syntactic Representations in Neural Stacks William Merrill Lenny Khazan Noah Amsel Sophie Hao S. Mendelsohn Robert Frank 19 6 0 04 Jun 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 19 9 0 09 May 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 30 230 0 21 Apr 2019
A review on Neural Turing Machine Soroor Malekmohamadi Faradonbe Faramarz Safi Esfahani AI4CE 24 6 0 10 Apr 2019
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Songlin Yang Shawn Tan Alessandro Sordoni Aaron Courville 32 323 0 22 Oct 2018
Context-Free Transductions with Neural Stacks Sophie Hao William Merrill Dana Angluin Robert Frank Noah Amsel Andrew Benz S. Mendelsohn GNN 6 38 0 08 Sep 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 24 203 0 01 Aug 2018
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 112 3,080 0 04 Jun 2018
Deep Reinforcement Learning for De-Novo Drug Design Mariya Popova Olexandr Isayev Alexander Tropsha 33 1,004 0 29 Nov 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 68 478 0 13 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Neural Program Meta-Induction Jacob Devlin Rudy Bunel Rishabh Singh Matthew J. Hausknecht Pushmeet Kohli 30 72 0 11 Oct 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 21 217 0 22 Aug 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 27 11 0 26 Jul 2017
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection Peter Makarov T. Ruzsics Simon Clematide 29 53 0 05 Jul 2017
Differentiable Scheduled Sampling for Credit Assignment Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 24 40 0 23 Apr 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments Colin Raffel Minh-Thang Luong Peter J. Liu Ron J. Weiss Douglas Eck 27 255 0 03 Apr 2017
Improving the Neural GPU Architecture for Algorithm Learning Kārlis Freivalds Renars Liepins 20 43 0 28 Feb 2017
Dynamic Key-Value Memory Networks for Knowledge Tracing Jiani Zhang Xingjian Shi Irwin King Dit-Yan Yeung AI4Ed KELM 29 596 0 24 Nov 2016
Divide and Conquer Networks Alex W. Nowak David Folqué Joan Bruna 32 20 0 08 Nov 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 14 566 0 07 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 31 99 0 04 Nov 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 18 894 0 04 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,505 0 02 Nov 2016
Online Segment to Segment Neural Transduction Lei Yu Jan Buys Phil Blunsom 25 82 0 26 Sep 2016
TerpreT: A Probabilistic Programming Language for Program Induction Alexander L. Gaunt Marc Brockschmidt Rishabh Singh Nate Kushman Pushmeet Kohli Jonathan Taylor Daniel Tarlow 30 123 0 15 Aug 2016
Separating Answers from Queries for Neural Reading Comprehension Dirk Weissenborn GNN 30 21 0 12 Jul 2016
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes Çağlar Gülçehre A. Chandar Kyunghyun Cho Yoshua Bengio 17 64 0 30 Jun 2016