Recurrent Independent Mechanisms

24 September 2019

Papers citing "Recurrent Independent Mechanisms"

37 / 87 papers shown

Title
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan Masayoshi Tomizuka DRL 31 19 0 01 Dec 2021
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
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 26 21 0 29 Oct 2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms Benjamin L. Edelman Surbhi Goel Sham Kakade Cyril Zhang 27 117 0 19 Oct 2021
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks P. Ofner Roman Kern 30 1 0 18 Oct 2021
Illiterate DALL-E Learns to Compose Gautam Singh Fei Deng Sungjin Ahn CoGe OCL 27 133 0 17 Oct 2021
Quantifying Local Specialization in Deep Neural Networks Shlomi Hod Daniel Filan Stephen Casper Andrew Critch Stuart J. Russell 62 10 0 13 Oct 2021
Dynamic Inference with Neural Interpreters Nasim Rahaman Muhammad Waleed Gondal S. Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf 51 31 0 12 Oct 2021
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning Zhiyu Yao Yunbo Wang Haixu Wu Jianmin Wang Mingsheng Long AI4TS 29 8 0 08 Oct 2021
Unsupervised Image Decomposition with Phase-Correlation Networks Angel Villar-Corrales Sven Behnke OCL 35 4 0 07 Oct 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 31 9 0 20 Sep 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 42 6 0 15 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 18 15 0 19 Jul 2021
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 26 50 0 06 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang Sid Kaushik Sergey Levine Thomas Griffiths 31 8 0 28 Jun 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 45 13 0 23 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 20 95 0 05 Jun 2021
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning Deep Thomas Daniil Olshanskyi Karter Krueger Tichakorn Wongpiromsarn Ali Jannesari 24 5 0 25 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 39 296 0 03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 25 179 0 01 Mar 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
Time Series Domain Adaptation via Sparse Associative Structure Alignment Ruichu Cai Jiawei Chen Zijian Li Wei Chen Keli Zhang Junjian Ye Zhuozhang Li Xiaoyan Yang Zhenjie Zhang CML TTA OOD AI4TS 27 88 0 22 Dec 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 81 955 0 24 Nov 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 37 120 0 08 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 53 88 0 05 Oct 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
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 21 85 0 06 Jul 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 29 115 0 14 Jun 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 20 25 0 01 Apr 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 26 111 0 18 Mar 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016