'An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity', by Wei Liu, Xin Liu, Xiaojun Chen.

http://jmlr.org/papers/v24/22-0491.html

#regularization #sparse #optimization

'L0Learn: A Scalable Package for Sparse Learning using L0 Regularization', by Hussein Hazimeh, Rahul Mazumder, Tim Nonet.

http://jmlr.org/papers/v24/22-0189.html

#l0learn #regularization #sparse

Improving Continual Learning by Accurate Gradient Reconstructions of the Past

https://openreview.net/forum?id=b1fpfCjja1

#regularization #forgetting #memory

Weight-balancing fixes and flows for deep learning

https://openreview.net/forum?id=uaHyXxyp2r

#weights #balancing #regularization

Improved Group Robustness via Classifier Retraining on Independent Splits

Thien Hang Nguyen, Hongyang R Zhang, Huy Nguyen

Action editor: Aditya Menon.

https://openreview.net/forum?id=Qlvgq9eC63

#groups #regularization #group

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth

Action editor: Wei Liu.

https://openreview.net/forum?id=ILNqQhGbLx

#regularization #normalization #trained

On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

Action editor: marco cuturi.

https://openreview.net/forum?id=FbztvhdCX9

#generative #adversarial #regularization

Calibrating and Improving Graph Contrastive Learning

MA KAILI, Garry YANG, Han Yang, Yongqiang Chen, James Cheng

Action editor: Yingzhen Li.

https://openreview.net/forum?id=LdSP6cvTS4

#regularization #contrastive #contrast

'Incremental Learning in Diagonal Linear Networks', by Raphaël Berthier.

http://jmlr.org/papers/v24/22-1395.html

#regularization #sparse #gradient

Marco Mauritz, University of Münster: Dynamic PET-Imaging with Temporal #Regularization, Applications to Cell #Tracking

Development of new #positron emission #tomography #PET reconstruction method for cell tracking

reconstruction method: Benamou-Brenier functional, MAP estimate, replaced by unbiased reconstruction Baysian formula;

motion model: continuity equation -> mass conservation; kinetic energy penalty to find physically meaningful motions; scatter estimate even for small count rates

Attentional-Biased Stochastic Gradient Descent

Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

Action editor: Changyou Chen.

https://openreview.net/forum?id=B0WYWvVA2r

#regularization #regularized #sgd

Calibrating and Improving Graph Contrastive Learning

https://openreview.net/forum?id=LdSP6cvTS4

#regularization #contrastive #contrast

An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse R...

Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson

Action editor: Robert Gower.

https://openreview.net/forum?id=KBhSyBBeeO

#regularization #sparse #adahspg

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Superv...

Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent

Action editor: Jinwoo Shin.

https://openreview.net/forum?id=ZgXfXSz51n

#regularization #imagenet #generalization

New #ReproducibilityCertification:

A Stochastic Proximal Polyak Step Size

Fabian Schaipp, Robert M. Gower, Michael Ulbrich

https://openreview.net/forum?id=jWr41htaB3

#regularization #proxsps #proximal

A Stochastic Proximal Polyak Step Size

Fabian Schaipp, Robert M. Gower, Michael Ulbrich

Action editor: Stephen Becker.

https://openreview.net/forum?id=jWr41htaB3

#regularization #proxsps #proximal

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

https://openreview.net/forum?id=ILNqQhGbLx

#regularization #normalization #generalization

Effective Neural Network $L_0$ Regularization With BinMask

https://openreview.net/forum?id=CqZvqyqusY

#regularization #regularizing #regularizer

POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer

https://openreview.net/forum?id=Hnr23knZfY

#reinforcement #regularization #reward

S\textsuperscript{2}C\textsuperscript{2}IL: Self-Supervised Curriculum-based Class Incremental Learning

https://openreview.net/forum?id=vfiXS6W3Gj

#regularization #supervised #learned