Weight Agnostic Neural Networks

11 June 2019

Papers citing "Weight Agnostic Neural Networks"

37 / 37 papers shown

Title
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 30 0 0 14 Apr 2025
Evolutionary Optimization of Model Merging Recipes Takuya Akiba Makoto Shing Yujin Tang Qi Sun David Ha MoMe 116 100 0 28 Jan 2025
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning Mani Hamidi Sina Khajehabdollahi E. Giannakakis Tim Schäfer Anna Levina Charley M. Wu 38 0 0 10 Jun 2024
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation Yonatan Sverdlov Shimon Ullman 26 0 0 26 Nov 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Naresh Boddeti MoMe 21 16 0 03 Aug 2023
Quantum Neuron Selection: Finding High Performing Subnetworks With Quantum Algorithms Tim Whitaker 33 1 0 12 Feb 2023
Parameter-Efficient Masking Networks Yue Bai Huan Wang Xu Ma Yitian Zhang Zhiqiang Tao Yun Fu 23 10 0 13 Oct 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 42 3 0 25 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 18 23 0 15 Jun 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 38 0 0 15 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
A Multi-channel Training Method Boost the Performance Yingdong Hu 19 1 0 27 Dec 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 12 12 0 03 Nov 2021
Minimum Description Length Recurrent Neural Networks N. Lan Michal Geyer Emmanuel Chemla Roni Katzir 16 13 0 31 Oct 2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation Shengran Hu Ran Cheng Cheng He Zhichao Lu Jing Wang Miao Zhang 32 7 0 08 Oct 2021
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem Niels van Hoeffelen Pablo Lanillos DRL AI4CE BDL 19 6 0 09 Sep 2021
What's Hidden in a One-layer Randomly Weighted Transformer? Sheng Shen Z. Yao Douwe Kiela Kurt Keutzer Michael W. Mahoney 32 4 0 08 Sep 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 35 75 0 17 Mar 2021
Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski Ján Drgoňa Aaron Tuor PINN AI4CE 27 9 0 26 Nov 2020
Continual Learning with Deep Artificial Neurons Blake Camp J. Mandivarapu Rolando Estrada 18 8 0 13 Nov 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 47 87 0 05 Oct 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 49 190 0 25 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 20 77 0 06 Jul 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 23 153 0 22 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 45 61 0 27 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 423 0 20 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search Yuge Zhang Zejun Lin Junyan Jiang Quanlu Zhang Yujing Wang Hui Xue Chen Zhang Yaming Yang 32 48 0 06 Jan 2020
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 30 4 0 29 Dec 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Data-driven discovery of free-form governing differential equations Steven Atkinson W. Subber Liping Wang Genghis Khan Philippe Hawi R. Ghanem 14 43 0 27 Sep 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 23 328 0 26 Jun 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Tim Pearce Russell Tsuchida Mohamed H. Zaki Alexandra Brintrup A. Neely BDL 21 48 0 15 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016