Building machines that adapt and compute like brains

11 November 2017

Papers citing "Building machines that adapt and compute like brains"

50 / 95 papers shown

Title
Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments Vedran Galetić Alistair Nottle 20 1 0 19 May 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 13 2 0 07 Mar 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 11 1 0 03 Feb 2023
Learning to solve arithmetic problems with a virtual abacus Flavio Petruzzellis Ling-Hao Chen Alberto Testolin 27 1 0 17 Jan 2023
Circumventing interpretability: How to defeat mind-readers Lee D. Sharkey 33 3 0 21 Dec 2022
ExReg: Wide-range Photo Exposure Correction via a Multi-dimensional Regressor with Attention Tzu-Hao Chiang Hao-Chien Hsueh Ching-Chun Hsiao Ching-Chun Huang 25 1 0 14 Dec 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 17 0 0 31 Oct 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 19 4 0 30 Oct 2022
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations Baihan Lin AI4CE 21 8 0 24 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 22 8 0 20 Oct 2022
Type theory in human-like learning and inference Felix Sosa T. Ullman ReLM LRM 11 2 0 04 Oct 2022
Stochastic Gradient Descent Captures How Children Learn About Physics Luca M. Schulze Buschoff Eric Schulz Marcel Binz 11 0 0 25 Sep 2022
Extended Intelligence D. Barack Andrew Jaegle 17 5 0 15 Sep 2022
Constraint-driven multi-task learning B. Crețu Andrew Cropper 19 1 0 24 Aug 2022
Character Generation through Self-Supervised Vectorization Gokcen Gokceoglu Emre Akbas 25 0 0 03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 19 8 0 02 Aug 2022
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles J. C. Jesus V. A. Kich A. H. Kolling Ricardo B. Grando R. S. Guerra P. Drews SSL 50 18 0 30 Jun 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition Naresh B. Ravichandran A. Lansner Pawel Herman 19 4 0 30 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 28 3 0 25 Jun 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks Lukas Huber Robert Geirhos Felix Wichmann 46 16 0 20 May 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 26 106 0 05 Apr 2022
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning Juncheng Li Junlin Xie Long Qian Linchao Zhu Siliang Tang Fei Wu Yi Yang Yueting Zhuang X. Wang 26 73 0 24 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 22 44 0 17 Mar 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 22 28 0 10 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 72 42 0 01 Feb 2022
Imposing Connectome-Derived Topology on an Echo State Network Jacob Morra M. Daley 32 3 0 23 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 20 4 0 18 Jan 2022
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies Dimitrios C. Gklezakos Rajesh P. N. Rao 14 11 0 14 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 16 12 0 02 Jan 2022
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 18 56 0 30 Nov 2021
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models Iman Nematollahi Erick Rosete-Beas Adrian Rofer Tim Welschehold Abhinav Valada Wolfram Burgard 17 15 0 25 Nov 2021
Composing Partial Differential Equations with Physics-Aware Neural Networks Matthias Karlbauer T. Praditia S. Otte S. Oladyshkin Wolfgang Nowak Martin Volker Butz AI4CE 27 18 0 23 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev Andrew Jaegle Peter Wirnsberger Daniel Hennes I. Higgins AI4CE 12 28 0 09 Nov 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
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks Yichen Jiang Mohit Bansal 90 25 0 30 Sep 2021
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition? Emin Orhan OOD 30 4 0 23 Sep 2021
Commonsense Knowledge in Word Associations and ConceptNet Chunhua Liu Trevor Cohn Lea Frermann 14 7 0 20 Sep 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 29 6 0 15 Sep 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 18 56 0 07 Sep 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 11 43 0 27 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 11 54 0 18 Jun 2021
Flexible Compositional Learning of Structured Visual Concepts Yanli Zhou Brenden Lake OCL CoGe 11 7 0 20 May 2021
Hybrid Intelligence Dominik Dellermann P. Ebel Matthias Söllner J. Leimeister 32 351 0 03 May 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 39 68 0 11 Apr 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 31 95 0 15 Mar 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 25 29 0 08 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 153 192 0 01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 98 27,632 0 26 Feb 2021
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience Nicholas Watters J. Tenenbaum M. Jazayeri GP 21 3 0 25 Feb 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 11 110 0 26 Nov 2020