Hierarchical Multiscale Recurrent Neural Networks

6 September 2016

Papers citing "Hierarchical Multiscale Recurrent Neural Networks"

50 / 78 papers shown

Title
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks Guilherme Palma P. A. Santos João Dias 46 0 0 20 Feb 2025
Selective Inference for Changepoint detection by Recurrent Neural Network Tomohiro Shiraishi Daiki Miwa Vo Nguyen Le Duy Ichiro Takeuchi 20 4 0 25 Nov 2023
Hierarchical Attention Encoder Decoder Asier Mujika BDL 22 3 0 01 Jun 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 23 20 0 17 Apr 2023
An end-to-end multi-scale network for action prediction in videos Xiaofan Liu Jianqin Yin Yuanxi Sun Zhicheng Zhang Jin Tang 24 0 0 31 Dec 2022
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 31 4 0 29 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 30 3 0 24 Dec 2022
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition Genshun Wan Tan Liu Hang Chen Jia-Yu Pan Cong Liu Z. Ye SSL 18 0 0 07 Dec 2022
Efficient Transformers with Dynamic Token Pooling Piotr Nawrot J. Chorowski Adrian Lañcucki E. Ponti 22 42 0 17 Nov 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 27 61 0 08 Jun 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning Aniket Didolkar Kshitij Gupta Anirudh Goyal Nitesh B. Gundavarapu Alex Lamb Nan Rosemary Ke Yoshua Bengio AI4CE 118 17 0 30 May 2022
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators Suyeon Choi Manu Gopakumar Yifan Peng Peng Jonghyun Kim Matthew O'Toole Gordon Wetzstein 16 58 0 05 May 2022
Dependency-based Mixture Language Models Zhixian Yang Xiaojun Wan 49 2 0 19 Mar 2022
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks Angel Villar-Corrales Ani J. Karapetyan Andreas Boltres Sven Behnke 27 11 0 17 Mar 2022
Long Document Summarization with Top-down and Bottom-up Inference Bo Pang Erik Nijkamp Wojciech Kry'sciñski Silvio Savarese Yingbo Zhou Caiming Xiong RALM BDL 24 55 0 15 Mar 2022
Bayesian sense of time in biological and artificial brains Z. Fountas Alexey Zakharov 35 0 0 14 Jan 2022
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP Sabrina J. Mielke Zaid Alyafeai Elizabeth Salesky Colin Raffel Manan Dey ... Arun Raja Chenglei Si Wilson Y. Lee Benoît Sagot Samson Tan 32 142 0 20 Dec 2021
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 30 12 0 17 Sep 2021
Bridging the gap between emotion and joint action M. Bieńkiewicz Andrii Smykovskyi Temitayo A. Olugbade Stefan Janaqi A. Camurri N. Bianchi-Berthouze Mårten Björkman B. Bardy 20 21 0 13 Aug 2021
Unsupervised Automatic Speech Recognition: A Review Hanan Aldarmaki Asad Ullah Nazar Zaki VLM SSL 39 56 0 09 Jun 2021
Learning Task Decomposition with Ordered Memory Policy Network Yucheng Lu Songlin Yang Siyuan Zhou Aaron Courville J. Tenenbaum Chuang Gan 19 15 0 19 Mar 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation J. Clark Dan Garrette Iulia Turc John Wieting 36 210 0 11 Mar 2021
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition D. Guo Bo Chen Wenchao Chen C. Wang Hongwei Liu Mingyuan Zhou BDL 35 35 0 28 Sep 2020
Multi-timescale Representation Learning in LSTM Language Models Shivangi Mahto Vy A. Vo Javier S. Turek Alexander G. Huth 15 29 0 27 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory Antonio Carta A. Sperduti D. Bacciu CLL 26 10 0 29 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 21 44 0 08 Jun 2020
Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder Georg Seelig 28 54 0 22 May 2020
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments Jens Heitkaemper Joerg Schmalenstroeer Reinhold Haeb-Umbach 6 9 0 20 May 2020
Multiscale Collaborative Deep Models for Neural Machine Translation Xiangpeng Wei Heng Yu Yue Hu Yue Zhang Rongxiang Weng Weihua Luo 27 28 0 29 Apr 2020
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden M. Lake BDL 32 13 0 19 Mar 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision Arsha Nagrani Joon Son Chung Samuel Albanie Andrew Zisserman SSL 21 88 0 20 Feb 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino Adria Puigdomenech Badia Raphael Köster Martin Chadwick V. Zambaldi Demis Hassabis Caswell Barry M. Botvinick D. Kumaran Charles Blundell KELM 26 33 0 29 Jan 2020
Encoding word order in complex embeddings Benyou Wang Donghao Zhao Christina Lioma Qiuchi Li Peng Zhang J. Simonsen 11 111 0 27 Dec 2019
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection Guangxiang Zhao Junyang Lin Zhiyuan Zhang Xuancheng Ren Qi Su Xu Sun 22 108 0 25 Dec 2019
Understanding and Improving Layer Normalization Jingjing Xu Xu Sun Zhiyuan Zhang Guangxiang Zhao Junyang Lin FAtt 18 340 0 16 Nov 2019
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling Ruizhe Zhao Brian K. Vogel Tanvir Ahmed Wayne Luk 19 37 0 14 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling Jack W. Rae Anna Potapenko Siddhant M. Jayakumar Timothy Lillicrap RALM VLM KELM 13 621 0 13 Nov 2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs Dongyeop Kang Hiroaki Hayashi A. Black Eduard H. Hovy 24 8 0 30 Aug 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation A. Kuncoro Chris Dyer Laura Rimell S. Clark Phil Blunsom 35 26 0 14 Jun 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations J. Livezey Ahyeon Hwang Jacob Yeung K. Bouchard 36 0 0 23 May 2019
3G structure for image caption generation Aihong Yuan Xuelong Li Xiaoqiang Lu 18 34 0 21 Apr 2019
Modeling Recurrence for Transformer Jie Hao Xing Wang Baosong Yang Longyue Wang Jinfeng Zhang Zhaopeng Tu 45 85 0 05 Apr 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code Rafael-Michael Karampatsis Charles Sutton 16 54 0 13 Mar 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 15 9 0 15 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 38 3,674 0 09 Jan 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 33 224 0 03 Dec 2018
Learning to Discover, Ground and Use Words with Segmental Neural Language Models Kazuya Kawakami Chris Dyer Phil Blunsom VLM 15 11 0 23 Nov 2018
Linear Memory Networks Xi Chen Ali Ghadirzadeh Mårten Björkman KELM 25 8 0 08 Nov 2018