Discrete-Valued Neural Communication

6 July 2021

Papers citing "Discrete-Valued Neural Communication"

41 / 41 papers shown

Title
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition Yuanpeng Li CoGe 129 0 0 05 May 2025
Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior Mingyuan Yan Jiawei Wu Rushi Shah Dianbo Liu 18 0 0 14 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization T. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 28 0 0 04 Oct 2024
Balance of Number of Embedding and their Dimensions in Vector Quantization Hang Chen Sankepally Sainath Reddy Ziwei Chen Dianbo Liu 42 1 0 06 Jul 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning Taewon Park Hyun-Chul Kim Minho Lee 36 0 0 11 Jun 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Kumar Misra Akanksha Saran Tengyang Xie Alex Lamb John Langford SSL OffRL 32 5 0 20 Mar 2024
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism Jiawei Wu Mingyuan Yan Dianbo Liu 32 2 0 05 Mar 2024
Symbolic Autoencoding for Self-Supervised Sequence Learning Mohammad Hossein Amani Nicolas Mario Baldwin Amin Mansouri Martin Josifoski Maxime Peyrard Robert West 26 1 0 16 Feb 2024
Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents Hang Chen Yuchuan Jang Weijie Zhou Cristian Meo Ziwei Chen Dianbo Liu 30 0 0 26 Dec 2023
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 19 1 0 12 Dec 2023
Unlearning via Sparse Representations Vedant Shah Frederik Trauble Ashish Malik Hugo Larochelle Michael C. Mozer Sanjeev Arora Yoshua Bengio Anirudh Goyal MU 24 9 0 26 Nov 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 33 15 0 28 Oct 2023
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 26 16 0 22 Oct 2023
Universal Humanoid Motion Representations for Physics-Based Control Zhengyi Luo Jinkun Cao Josh Merel Alexander W. Winkler Jing Huang Kris M. Kitani Weipeng Xu 26 47 0 06 Oct 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction Taylor W. Webb Steven M. Frankland Awni Altabaa Simon N. Segert Kamesh Krishnamurthy ... Tyler Giallanza Zack Dulberg Randall O'Reilly John Lafferty Jonathan D. Cohen 26 27 0 12 Sep 2023
Towards More Human-like AI Communication: A Review of Emergent Communication Research Nicolo’ Brandizzi 39 12 0 01 Aug 2023
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs Or Sharir Anima Anandkumar 22 0 0 27 Jul 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 46 53 0 30 May 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 21 24 0 28 May 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
Self-Organising Neural Discrete Representation Learning à la Kohonen Kazuki Irie Róbert Csordás Jürgen Schmidhuber SSL 24 1 0 15 Feb 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 27 5 0 11 Jan 2023
Representation Learning in Deep RL via Discrete Information Bottleneck Riashat Islam Hongyu Zang Manan Tomar Aniket Didolkar Md. Mofijul Islam ... Tariq Iqbal Xin-hui Li Anirudh Goyal N. Heess Alex Lamb SSL OffRL 30 6 0 28 Dec 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 27 1 0 22 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 29 36 0 02 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 23 9 0 01 Nov 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 24 7 0 04 Oct 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 34 0 0 24 Aug 2022
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 18 22 0 22 Jul 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds Kenji Kawaguchi Zhun Deng K. Luh Jiaoyang Huang OOD 19 23 0 27 Jun 2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 22 0 0 21 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 43 104 0 16 May 2022
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification Samuel Lavoie Christos Tsirigotis Max Schwarzer Ankit Vani Michael Noukhovitch Kenji Kawaguchi Aaron C. Courville SSL 19 17 0 01 Apr 2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization Dianbo Liu Alex Lamb Xu Ji Pascal Junior Tikeng Notsawo Michael C. Mozer Yoshua Bengio Kenji Kawaguchi 11 14 0 02 Feb 2022
Properties of Minimizing Entropy Xu Ji Lena Nehale-Ezzine Maksym Korablyov 24 0 0 06 Dec 2021
Neurosymbolic Systems of Perception & Cognition: The Role of Attention Hugo Latapie Özkan Kiliç K. Thórisson Pei Wang Patrick Hammer 30 9 0 02 Dec 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 25 53 0 28 Oct 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji Razvan Pascanu Devon Hjelm Balaji Lakshminarayanan Andrea Vedaldi 20 7 0 15 Jun 2021
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
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 18 344 0 30 Nov 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016