Reviving and Improving Recurrent Back-Propagation

16 March 2018

Xaq Pitkow

Papers citing "Reviving and Improving Recurrent Back-Propagation"

29 / 29 papers shown

Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 78 9 0 28 Jan 2025
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 70 5 0 18 Jun 2024
Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker Qi Li Ziyi Shen Qian Li D. Barratt T. Dowrick Matthew J. Clarkson Tom Kamiel Magda Vercauteren Yipeng Hu 19 4 0 16 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 10 6 0 05 Sep 2023
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences Samuel Chun-Hei Lam Justin A. Sirignano K. Spiliopoulos 21 2 0 28 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 23 5 0 18 Jul 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li J. Yu Boyi Liu Zhaoran Wang Y. Nie 29 6 0 20 Feb 2023
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 22 2 0 06 Nov 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 24 76 0 19 Jul 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 17 3 0 15 Jul 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 19 7 0 25 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 14 67 0 04 Jan 2022
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation Ross M. Clarke E. T. Oldewage José Miguel Hernández-Lobato 15 9 0 20 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 26 28 0 13 Oct 2021
A global convergence theory for deep ReLU implicit networks via over-parameterization Tianxiang Gao Hailiang Liu Jia Liu Hridesh Rajan Hongyang Gao MLT 23 16 0 11 Oct 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 32 84 0 23 Mar 2021
Implicit Feature Pyramid Network for Object Detection Tiancai Wang X. Zhang Jian-jun Sun ObjD 13 27 0 25 Dec 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 26 244 0 15 Oct 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 34 191 0 29 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 23 59 0 22 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 35 211 0 15 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 24 130 0 15 Jun 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 17 81 0 26 Mar 2020
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 24 34 0 07 Oct 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning Frederik Benzing M. Gauy Asier Mujika A. Martinsson Angelika Steger 17 22 0 11 Feb 2019
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 19 181 0 16 Oct 2018