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Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/5]:
- Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization a...
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert Nowak, Yixuan Li
https://arxiv.org/abs/2306.09158
- Sparse, Efficient and Explainable Data Attribution with DualXDA
Galip \"Umit Yolcu, Moritz Weckbecker, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
https://arxiv.org/abs/2402.12118 https://mastoxiv.page/@arXiv_csLG_bot/111962593972369958
- HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
Sun, Que, {\AA}rrestad, Loncar, Ngadiuba, Luk, Spiropulu
https://arxiv.org/abs/2405.00645 https://mastoxiv.page/@arXiv_csLG_bot/112370274737558603
- On the Identification of Temporally Causal Representation with Instantaneous Dependence
Li, Shen, Zheng, Cai, Song, Gong, Chen, Zhang
https://arxiv.org/abs/2405.15325 https://mastoxiv.page/@arXiv_csLG_bot/112511890051553111
- Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications
Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra
https://arxiv.org/abs/2405.15877 https://mastoxiv.page/@arXiv_csLG_bot/112517547424098076
- Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
Yan Shvartzshnaider, Vasisht Duddu
https://arxiv.org/abs/2409.03735 https://mastoxiv.page/@arXiv_csLG_bot/113089789682783135
- Low-Rank Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig
https://arxiv.org/abs/2410.06800 https://mastoxiv.page/@arXiv_csLG_bot/113283021321510736
- Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo, Qi Liu, Enhong Chen
https://arxiv.org/abs/2410.18686 https://mastoxiv.page/@arXiv_csLG_bot/113367101100828901
- Fairness via Independence: A (Conditional) Distance Covariance Framework
Ruifan Huang, Haixia Liu
https://arxiv.org/abs/2412.00720 https://mastoxiv.page/@arXiv_csLG_bot/113587817648503815
- Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
Simon Frieder, et al.
https://arxiv.org/abs/2412.15184 https://mastoxiv.page/@arXiv_csLG_bot/113683924322164777
- Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
Ishank Juneja, Carlee Joe-Wong, Osman Ya\u{g}an
https://arxiv.org/abs/2501.10290 https://mastoxiv.page/@arXiv_csLG_bot/113859392622871057
- Towards Human-Guided, Data-Centric LLM Co-Pilots
Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
https://arxiv.org/abs/2501.10321 https://mastoxiv.page/@arXiv_csLG_bot/113859392688054204
- Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng, Yiming Yang
https://arxiv.org/abs/2502.00277
- Generating Samples to Probe Trained Models
Eren Mehmet K{\i}ral, Nur\c{s}en Ayd{\i}n, \c{S}. \.Ilker Birbil
https://arxiv.org/abs/2502.06658 https://mastoxiv.page/@arXiv_csLG_bot/113984059089245671
- On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael M{\o}ller H{\o}gsgaard, Grigoris Velegkas
https://arxiv.org/abs/2502.09496 https://mastoxiv.page/@arXiv_csLG_bot/114000974082372598
- Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou, Ouya Wang, Ziyan Luo, Yongxu Zhu, Geoffrey Ye Li
https://arxiv.org/abs/2502.10784 https://mastoxiv.page/@arXiv_csLG_bot/114023667639951005
- On the Effect of Sampling Diversity in Scaling LLM Inference
Wang, Liu, Chen, Light, Liu, Chen, Zhang, Cheng
https://arxiv.org/abs/2502.11027 https://mastoxiv.page/@arXiv_csLG_bot/114023688225233656
- How to use score-based diffusion in earth system science: A satellite nowcasting example
Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff
https://arxiv.org/abs/2505.10432 https://mastoxiv.page/@arXiv_csLG_bot/114516300594057680
- PEAR: Equal Area Weather Forecasting on the Sphere
Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken
https://arxiv.org/abs/2505.17720 https://mastoxiv.page/@arXiv_csLG_bot/114572963019603744
- Train Sparse Autoencoders Efficiently by Utilizing Features Correlation
Vadim Kurochkin, Yaroslav Aksenov, Daniil Laptev, Daniil Gavrilov, Nikita Balagansky
https://arxiv.org/abs/2505.22255 https://mastoxiv.page/@arXiv_csLG_bot/114589956040892075
- A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, Basak Guler
https://arxiv.org/abs/2506.06486 https://mastoxiv.page/@arXiv_csLG_bot/114658421178857085
toXiv_bot_toot

für alle #wikipedia / #wikidata / #wikiversum Menschen, die die @…

Because it's populated by cheshire cats.
https://qoto.org/@bibliolater/115600269765129742

Bibliolater 📚 📜 🖋 (@bibliolater@qoto.org)
Attached: 1 image 🇳🇿 **Why does New Zealand keep disappearing from world maps?** _Cooper-Jones points out that even a New Zealand government 404 error page once displayed a world map missing the country entirely, with a cheeky message: "We’re sorry, something’s missing…"_ 🔗 https://www.rnz.co.nz/life/books/why-does-new-zealand-keep-disappearing-from-world-maps. #NewZealand #NZ #Maps #Cartography #Image attribution: See page for author, Public domain, via Wikimedia Common…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Vampire Weekend:
🎵 Holiday
#VampireWeekend
https://thechillestcellist.bandcamp.com/track/vampire-weekend-holiday-cover
https://open.spotify.com/track/4cYZRebfwTsVNERxTm29Rb

🔊 #NowPlaying on #BBCRadio3:
#NewMusicShow
- Huddersfield Contemporary Music Festival: Explore Ensemble and ONCEIM
Kate Molleson presents live from the opening weekend of this year's event and features new music by Bryn Harrison and Christian Marclay.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002mc18

Since the last Android release @… allows using a custom server from which to download map files.
This decreases reliance on CoMaps-run infrastructure but is also great for people who live in places with limited internet connectivity, as you can now serve maps from local networks.
To make it easier, I wrote a small CLI tool over the weekend that downloads maps of interest & then serves them locally. A first alpha release for testing is on Codeberg:
#OpenStreetMap

50 years ago tonight, the jerry garcia band in boulder, closing a long road weekend. audience tape: https://archive.org/details/jg75-11-23.028367.jgb.aud.unknown.t-flac16 [1/2]

A Battle with My Blood -- When I was diagnosed with leukemia, my first thought ... (Tatiana Schlossberg/New Yorker)
https://www.newyorker.com/culture/the-weekend-essay/a-battle-with-my-blood
http://www.memeorandum.com/251122/p38#a251122p38

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Joni Mitchell:
🎵 River
#JoniMitchell
https://analeorne.bandcamp.com/track/joni-mitchells-river
https://open.spotify.com/track/0DAmSYQW9kq9gQNDI002KP

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Dean Johnson:
🎵 The Man in the Booth
#DeanJohnson
https://deanjohnsongs.bandcamp.com/track/the-man-in-the-booth
https://open.spotify.com/track/1Wj9MDcpnVU8FxMF0umYTy