Relational recurrent neural networks

5 June 2018

Papers citing "Relational recurrent neural networks"

50 / 122 papers shown

Title
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning Taewon Park Hyun-Chul Kim Minho Lee 41 0 0 11 Jun 2024
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures Awni Altabaa John Lafferty 37 3 0 26 May 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang P. Turaga Theodore P. Pavlic CML 36 0 0 21 Mar 2024
Approximation of relation functions and attention mechanisms Awni Altabaa John Lafferty 25 6 0 13 Feb 2024
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning Ziyu Wang Wenhao Jiang Zixuan Zhang Wei Tang Junchi Yan 16 0 0 03 Nov 2023
When can transformers reason with abstract symbols? Enric Boix-Adserà Omid Saremi Emmanuel Abbe Samy Bengio Etai Littwin Josh Susskind LRM NAI 31 12 0 15 Oct 2023
Learning Hierarchical Relational Representations through Relational Convolutions Awni Altabaa John Lafferty 27 2 0 05 Oct 2023
A Framework for Inference Inspired by Human Memory Mechanisms Xiangyu Zeng Jie Lin Piao Hu Ruizheng Huang Zhicheng Zhang 18 2 0 01 Oct 2023
A Data Source for Reasoning Embodied Agents Jack Lanchantin Sainbayar Sukhbaatar Gabriel Synnaeve Yuxuan Sun Kavya Srinet Arthur Szlam LM&Ro LRM 25 5 0 14 Sep 2023
Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis Jun-Min Lee Tae-Bin Ha GAN 17 0 0 19 Jun 2023
Systematic Visual Reasoning through Object-Centric Relational Abstraction Taylor W. Webb S. S. Mondal Jonathan D. Cohen OCL 30 23 0 04 Jun 2023
A Quantitative Review on Language Model Efficiency Research Meng-Long Jiang Hy Dang Lingbo Tong 25 0 0 28 May 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 29 5 0 25 May 2023
Continual Multimodal Knowledge Graph Construction Xiang Chen Jintian Zhang Xiaohan Wang Ningyu Zhang Tongtong Wu Luo Si Yongheng Wang Huajun Chen KELM CLL 27 14 0 15 May 2023
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information Vladimir Araujo Alvaro Soto Marie-Francine Moens KELM 20 2 0 12 May 2023
Improved Training of Mixture-of-Experts Language GANs Yekun Chai Qiyue Yin Junge Zhang GAN 19 5 0 23 Feb 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 28 4 0 21 Feb 2023
Learning Language Representations with Logical Inductive Bias Jianshu Chen NAI AI4CE LRM 29 2 0 19 Feb 2023
Composing Task Knowledge with Modular Successor Feature Approximators Wilka Carvalho Angelos Filos Richard L. Lewis Honglak Lee Satinder Singh 17 7 0 28 Jan 2023
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting Naifeng Zhang Shan Jia Siwei Lyu Xin Li AAML 32 1 0 27 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 18 1 0 20 Oct 2022
Learning to Reason With Relational Abstractions A. Nam Mengye Ren Chelsea Finn James L. McClelland ReLM LRM 37 4 0 06 Oct 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 27 1 0 22 Sep 2022
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation Peining Zhang Junliang Guo Linli Xu Mu You Junming Yin 22 0 0 05 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 12 0 05 Aug 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Mikhail Burtsev 23 8 0 27 Jul 2022
Learning Sequence Representations by Non-local Recurrent Neural Memory Wenjie Pei Xin Feng Canmiao Fu Qi Cao Guangming Lu Yu-Wing Tai AI4TS 24 1 0 20 Jul 2022
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 17 4 0 18 Jul 2022
On Neural Architecture Inductive Biases for Relational Tasks Giancarlo Kerg Sarthak Mittal David Rolnick Yoshua Bengio Blake A. Richards Guillaume Lajoie OOD 23 24 0 09 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning J. Guo Mingming Gong Dacheng Tao 8 20 0 09 Jun 2022
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 32 47 0 06 Jun 2022
Cross-modal Memory Networks for Radiology Report Generation Zhihong Chen Yaling Shen Yan Song Xiang Wan MedIm 28 246 0 28 Apr 2022
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment Nicole Koenigstein AIFin 22 1 0 13 Mar 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 17 12 0 28 Jan 2022
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks J. Pérez Patricia Arroba Jose M. Moya 27 14 0 12 Jan 2022
Conditional Object-Centric Learning from Video Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone S. Sabour G. Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff OCL 41 214 0 24 Nov 2021
How to transfer algorithmic reasoning knowledge to learn new algorithms? Louis-Pascal Xhonneux Andreea Deac Petar Velickovic Jian Tang 22 26 0 26 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 23 15 0 18 Oct 2021
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning Kwwabena Nuamah 11 6 0 16 Sep 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 20 565 0 30 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 13 15 0 19 Jul 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 25 57 0 28 Jun 2021
Learning to Rehearse in Long Sequence Memorization Zhu Zhang Chang Zhou Jianxin Ma Zhijie Lin Jingren Zhou Hongxia Yang Zhou Zhao RALM 12 9 0 02 Jun 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 17 6 0 28 May 2021
Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan Rosemary Nan Ke Anirudh Goyal Bernhard Schölkopf Yoshua Bengio OCL 24 40 0 18 May 2021
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events Hossein Rajaby Faghihi Parisa Kordjamshidi 20 24 0 15 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 31 40 0 06 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning Alana de Santana Correia Esther Luna Colombini HAI 23 175 0 31 Mar 2021
PAC-learning gains of Turing machines over circuits and neural networks Brieuc Pinon Raphaël Jungers Jean-Charles Delvenne AI4CE 11 1 0 23 Mar 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 53 973 0 04 Mar 2021