New Submissions to TMLR · @tmlrsub
208 followers · 773 posts · Server sigmoid.social
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation
#adversarial #supervised #generalization
Published papers at TMLR · @tmlrpub
564 followers · 596 posts · Server sigmoid.social
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
Action editor: Antoni Chan.
#generalization #generalize #datasets
WIST Quotations · @WISTquote
78 followers · 1177 posts · Server zirk.usA quotation from Martin, Judith:
«
Miss Manners doubts that there is anything in the world like an elegantly dressed Bostonian lurching across the room and diving face first into a bowl of guacamole dip while simultaneously disengaging her bodice from her bosom. Therefore, Miss Manners has a wee bit of trouble preparing a general rule for dealing with this eventuality.
»
Full quote, sourcing, notes:
https://wist.info/martin-judith/62786/
#quote #quotes #quotation #exception #generalization #occurrence
#quote #quotes #quotation #exception #generalization #occurrence
JMLR · @jmlr
711 followers · 310 posts · Server sigmoid.social
'Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality', by Lukas Gonon.
http://jmlr.org/papers/v24/21-0987.html
#scholes #generalization #feature
#scholes #generalization #feature
JMLR · @jmlr
708 followers · 306 posts · Server sigmoid.social
'Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks', by Jun Shu, Deyu Meng, Zongben Xu.
http://jmlr.org/papers/v24/21-0742.html
#learned #parameterized #generalization
#learned #parameterized #generalization
IT News · @itnewsbot
3643 followers · 270857 posts · Server schleuss.onlineRoboAgent Gets Its MT-ACT Together - Researchers at Carnegie Mellon University have shared a pre-print paper on general... - https://hackaday.com/2023/08/20/roboagent-gets-its-mt-act-together/ #carnegiemellonuniversity #artificialintelligence #machinelearning #researchproject #computervision #generalization #kitchenhacks #trainingdata #robotshacks #trajectory #research #robotarm #science #kitchen #robot #news #meta
#meta #news #robot #kitchen #science #robotarm #research #trajectory #robotshacks #trainingdata #kitchenhacks #generalization #computervision #researchproject #machinelearning #artificialintelligence #carnegiemellonuniversity
New Submissions to TMLR · @tmlrsub
203 followers · 735 posts · Server sigmoid.social
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
#learned #dnns #generalization
Published papers at TMLR · @tmlrpub
547 followers · 530 posts · Server sigmoid.social
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
HyunGeun Lee, Kijung Yoon
Action editor: Artem Babenko.
#Graphs #graph #generalization
Published papers at TMLR · @tmlrpub
522 followers · 459 posts · Server sigmoid.social
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
Action editor: Vincent Dumoulin.
#generalization #classifier #classification
Published papers at TMLR · @tmlrpub
522 followers · 458 posts · Server sigmoid.social
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi et al.
Action editor: Robert Gower.
#distributional #generalization #classification
New Submissions to TMLR · @tmlrsub
180 followers · 605 posts · Server sigmoid.social
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
#generalization #generalize #datasets
Published papers at TMLR · @tmlrpub
519 followers · 433 posts · Server sigmoid.social
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Action editor: Yaoliang Yu.
#federated #generalization #privacy
WIST Quotations · @WISTquote
58 followers · 743 posts · Server zirk.usA quotation from Fry, Stephen:
«««««
It is a cliché that most clichés are true, but then like most clichés, that cliché is untrue.
»»»»»
Full quote, sourcing, notes:
https://wist.info/fry-stephen/60965/
#quote #quotes #quotation #cliche #generalization #truth
Published papers at TMLR · @tmlrpub
518 followers · 425 posts · Server sigmoid.social
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generaliza...
Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
Action editor: Benjamin Guedj.
#generalization #deep #benchmarks
Published papers at TMLR · @tmlrpub
518 followers · 419 posts · Server sigmoid.social
Comparative Generalization Bounds for Deep Neural Networks
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
Action editor: Yunhe Wang.
Published papers at TMLR · @tmlrpub
517 followers · 412 posts · Server sigmoid.social
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.
#regularization #ImageNet #generalization
New Submissions to TMLR · @tmlrsub
172 followers · 507 posts · Server sigmoid.social
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
#regularization #normalization #generalization
Published papers at TMLR · @tmlrpub
515 followers · 369 posts · Server sigmoid.social
Generalization as Dynamical Robustness--The Role of Riemannian Contraction in Supervised Learning
Leo Kozachkov, Patrick Wensing, Jean-Jacques Slotine
#generalization #supervised #robustness
Published papers at TMLR · @tmlrpub
511 followers · 344 posts · Server sigmoid.social
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
#classifier #generalization #deep
Published papers at TMLR · @tmlrpub
511 followers · 338 posts · Server sigmoid.social
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role ...
Rishi Sonthalia, Raj Rao Nadakuditi
#denoising #generalization #shrinkage