Recurrent Independent Mechanisms

24 September 2019

Papers citing "Recurrent Independent Mechanisms"

50 / 71 papers shown

Title
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 66 4 0 17 Feb 2025
Flexible task abstractions emerge in linear networks with fast and bounded units Kai Sandbrink Jan P. Bauer A. Proca Andrew M. Saxe Christopher Summerfield Ali Hummos 63 2 0 17 Jan 2025
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 34 2 0 09 Sep 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 44 5 0 22 Jul 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 35 4 0 06 Mar 2024
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 19 1 0 12 Dec 2023
Inferring Relational Potentials in Interacting Systems Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire M. Sznaier J. Tenenbaum Octavia Camps 24 4 0 23 Oct 2023
Adaptivity and Modularity for Efficient Generalization Over Task Complexity Samira Abnar Omid Saremi Laurent Dinh Shantel Wilson Miguel Angel Bautista ... Vimal Thilak Etai Littwin Jiatao Gu Josh Susskind Samy Bengio 32 5 0 13 Oct 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 26 5 0 13 Jul 2023
Im-Promptu: In-Context Composition from Image Prompts Bhishma Dedhia Michael Chang Jake C. Snell Thomas L. Griffiths N. Jha LRM MLLM 29 1 0 26 May 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 26 0 0 24 Mar 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 25 4 0 21 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 54 22 0 12 Jan 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 52 14 0 08 Dec 2022
Learning Label Modular Prompts for Text Classification in the Wild Hailin Chen Amrita Saha Shafiq R. Joty Steven C. H. Hoi OOD VLM 13 5 0 30 Nov 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
Search for Concepts: Discovering Visual Concepts Using Direct Optimization P. Reddy Paul Guerrero Niloy J. Mitra OCL 19 4 0 25 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 22 8 0 21 Oct 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 11 6 0 19 Oct 2022
Neural Attentive Circuits Nasim Rahaman M. Weiß Francesco Locatello C. Pal Yoshua Bengio Bernhard Schölkopf Erran L. Li Nicolas Ballas 24 6 0 14 Oct 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 22 7 0 04 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 28 0 0 29 Sep 2022
Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer Max Horn Andrii Zadaianchuk Dominik Zietlow Tianjun Xiao ... Tong He Zheng-Wei Zhang Bernhard Schölkopf Thomas Brox Francesco Locatello OCL 37 139 0 29 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 26 0 0 24 Aug 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 19 12 0 05 Aug 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 28 34 0 21 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 24 27 0 15 Jul 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 21 18 0 16 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 28 8 0 09 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 35 58 0 02 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 110 17 0 30 May 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision Manuel Traub S. Otte Tobias Menge Matthias Karlbauer Jannik Thummel Martin Volker Butz 26 20 0 26 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 28 45 0 01 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 34 55 0 31 Mar 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Biwei Huang Kun Zhang Sara Magliacane CML OffRL 37 32 0 30 Mar 2022
Object discovery and representation networks Olivier J. Hénaff Skanda Koppula Evan Shelhamer Daniel Zoran Andrew Jaegle Andrew Zisserman João Carreira Relja Arandjelović 33 87 0 16 Mar 2022
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment Nicole Koenigstein AIFin 16 1 0 13 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 18 22 0 10 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 24 53 0 17 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 22 101 0 15 Jan 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 21 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 39 214 0 24 Nov 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 18 21 0 29 Oct 2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms Benjamin L. Edelman Surbhi Goel Sham Kakade Cyril Zhang 22 115 0 19 Oct 2021
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks P. Ofner Roman Kern 17 1 0 18 Oct 2021
Quantifying Local Specialization in Deep Neural Networks Shlomi Hod Daniel Filan Stephen Casper Andrew Critch Stuart J. Russell 60 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 26 31 0 12 Oct 2021
Unsupervised Image Decomposition with Phase-Correlation Networks Angel Villar-Corrales Sven Behnke OCL 20 4 0 07 Oct 2021