Relational recurrent neural networks

5 June 2018

Papers citing "Relational recurrent neural networks"

50 / 122 papers shown

Title
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
A Review of Speaker Diarization: Recent Advances with Deep Learning Tae Jin Park Naoyuki Kanda Dimitrios Dimitriadis Kyu Jeong Han Shinji Watanabe Shrikanth Narayanan VLM 274 327 0 24 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 18 5 0 14 Jan 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules Segwang Kim Hyoungwook Nam Joonyoung Kim Kyomin Jung NAI 64 11 0 13 Jan 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 254 0 09 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 18 344 0 30 Nov 2020
Generating Radiology Reports via Memory-driven Transformer Zhihong Chen Yan Song Tsung-Hui Chang Xiang Wan MedIm 14 458 0 30 Oct 2020
Conditional Hybrid GAN for Sequence Generation Yi Yu Abhishek Srivastava R. Shah GAN 9 2 0 18 Sep 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models Thai Le Suhang Wang Dongwon Lee 24 59 0 01 Sep 2020
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces Yatin Nandwani Deepanshu Jindal Mausam Parag Singla 16 13 0 27 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 39 30 0 31 Jul 2020
Distributed Associative Memory Network with Memory Refreshing Loss Taewon Park Inchul Choi Minho Lee CLL 23 6 0 21 Jul 2020
S2RMs: Spatially Structured Recurrent Modules Nasim Rahaman Anirudh Goyal Muhammad Waleed Gondal M. Wuthrich Stefan Bauer Yash Sharma Yoshua Bengio Bernhard Schölkopf 21 14 0 13 Jul 2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction Faruk Küçüksubasi Elif Surer 24 2 0 12 Jul 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules Sarthak Mittal Alex Lamb Anirudh Goyal Vikram S. Voleti Murray Shanahan Guillaume Lajoie Michael C. Mozer Yoshua Bengio 14 62 0 30 Jun 2020
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems Anirudh Goyal Alex Lamb Phanideep Gampa Philippe Beaudoin Sergey Levine Charles Blundell Yoshua Bengio Michael C. Mozer OCL 22 70 0 29 Jun 2020
Robustifying Sequential Neural Processes Jaesik Yoon Gautam Singh Sungjin Ahn 26 27 0 29 Jun 2020
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning Adam Stooke Valentin Dalibard Siddhant M. Jayakumar Wojciech M. Czarnecki Max Jaderberg 9 1 0 26 Jun 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 35 816 0 26 Jun 2020
Recurrent Relational Memory Network for Unsupervised Image Captioning Dan Guo Yang Wang Peipei Song Meng Wang GAN 17 40 0 24 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration Shuai Han Wenbo Zhou Jing Liu Shuai Lu 18 27 0 19 Jun 2020
Untangling tradeoffs between recurrence and self-attention in neural networks Giancarlo Kerg Bhargav Kanuparthi Anirudh Goyal Kyle Goyette Yoshua Bengio Guillaume Lajoie 20 9 0 16 Jun 2020
Relational reasoning and generalization using non-symbolic neural networks Atticus Geiger Alexandra Carstensen Michael C. Frank Michael C. Frank Christopher Potts NAI 17 20 0 14 Jun 2020
Explaining Local, Global, And Higher-Order Interactions In Deep Learning Samuel Lerman Chenliang Xu C. Venuto Henry A. Kautz FAtt 6 10 0 12 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola Amos Storkey OOD SSL 13 63 0 10 Jun 2020
Fitted Q-Learning for Relational Domains Srijita Das S. Natarajan Kaushik Roy Ronald E. Parr Kristian Kersting 6 15 0 10 Jun 2020
A neural network walks into a lab: towards using deep nets as models for human behavior Wei-Ying Ma B. Peters HAI AI4CE 25 54 0 02 May 2020
In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL Len Du OOD 19 5 0 11 Apr 2020
Adversarial System Variant Approximation to Quantify Process Model Generalization Julian Theis H. Darabi 12 9 0 26 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks Koustuv Sinha Shagun Sodhani Joelle Pineau William L. Hamilton NAI AI4CE 38 23 0 14 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 22 3 0 27 Feb 2020
Self-Attentive Associative Memory Hung Le T. Tran Svetha Venkatesh 12 56 0 10 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Y. Wu Greg Wayne 9 9 0 06 Feb 2020
Questions to Guide the Future of Artificial Intelligence Research J. Ott 6 3 0 21 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 25 138 0 06 Dec 2019
Working Memory Graphs Ricky Loynd Roland Fernandez Asli Celikyilmaz Adith Swaminathan Matthew J. Hausknecht 17 40 0 17 Nov 2019
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation Zhiyue Liu Jiahai Wang Zhiwei Liang GAN 15 64 0 15 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling Jack W. Rae Anna Potapenko Siddhant M. Jayakumar Timothy Lillicrap RALM VLM KELM 11 620 0 13 Nov 2019
Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato Melissa Tan Ryan Faulkner S. Hansen Adria Puigdomenech Badia Gavin Buttimore Charlie Deck Joel Z. Leibo Charles Blundell 11 70 0 29 Oct 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 28 163 0 23 Oct 2019
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu Çağlar Gülçehre T. Paine Matthew W. Hoffman Razvan Pascanu AI4CE 14 2 0 22 Oct 2019
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving Imanol Schlag P. Smolensky Roland Fernandez Nebojsa Jojic Jürgen Schmidhuber Jianfeng Gao 14 51 0 15 Oct 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 22 360 0 13 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat Aleksandar Stanić Jürgen Schmidhuber 16 30 0 11 Oct 2019
The Detection of Distributional Discrepancy for Text Generation Xingyuan Chen Ping Cai Peng Jin Haokun Du Hongjun Wang Xingyu Dai Jiajun Chen 20 0 0 28 Sep 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu Wei Feng Yunsheng Jiang Xiaohui Xie Zhiqing Sun Zhihong Deng LRM 17 53 0 25 Sep 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 19 334 0 24 Sep 2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series Jinho Lee Seokho Yi Jaewoo Kang AI4TS 12 15 0 24 Sep 2019
Procedural Reasoning Networks for Understanding Multimodal Procedures Mustafa Sercan Amac Semih Yagcioglu Aykut Erdem Erkut Erdem 14 13 0 19 Sep 2019