arXiv cs.LG Machine Learning
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Reposted by arXiv cs.LG Machine Learning
George Cazenavette, Antonio Torralba, Vincent Sitzmann: Dataset Distillation for Pre-Trained Self-Supervised Vision Models https://arxiv.org/abs/2511.16674 https://arxiv.org/pdf/2511.16674 https://arxiv.org/html/2511.16674
November 21, 2025 at 6:32 AM
George Cazenavette, Antonio Torralba, Vincent Sitzmann: Dataset Distillation for Pre-Trained Self-Supervised Vision Models https://arxiv.org/abs/2511.16674 https://arxiv.org/pdf/2511.16674 https://arxiv.org/html/2511.16674
Reposted by arXiv cs.LG Machine Learning
Guzey, Qi, Urain, Wang, Yin, Bodduluri, Lambeta, Pinto, Rai, Malik, Wu, Sharma, Bharadhwaj: Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations https://arxiv.org/abs/2511.16661 https://arxiv.org/pdf/2511.16661 https://arxiv.org/html/2511.16661
November 21, 2025 at 6:34 AM
Guzey, Qi, Urain, Wang, Yin, Bodduluri, Lambeta, Pinto, Rai, Malik, Wu, Sharma, Bharadhwaj: Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations https://arxiv.org/abs/2511.16661 https://arxiv.org/pdf/2511.16661 https://arxiv.org/html/2511.16661
Reposted by arXiv cs.LG Machine Learning
Vishaal Udandarao, Shyamgopal Karthik, Surabhi S. Nath, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu: Solving Spatial Supersensing Without Spatial Supersensing https://arxiv.org/abs/2511.16655 https://arxiv.org/pdf/2511.16655 https://arxiv.org/html/2511.16655
November 21, 2025 at 6:31 AM
Vishaal Udandarao, Shyamgopal Karthik, Surabhi S. Nath, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu: Solving Spatial Supersensing Without Spatial Supersensing https://arxiv.org/abs/2511.16655 https://arxiv.org/pdf/2511.16655 https://arxiv.org/html/2511.16655
Reposted by arXiv cs.LG Machine Learning
Angela Vivian Dcosta, Chunbo Song, Rafael Radkowski: Adaptive Guided Upsampling for Low-light Image Enhancement https://arxiv.org/abs/2511.16623 https://arxiv.org/pdf/2511.16623 https://arxiv.org/html/2511.16623
November 21, 2025 at 6:31 AM
Angela Vivian Dcosta, Chunbo Song, Rafael Radkowski: Adaptive Guided Upsampling for Low-light Image Enhancement https://arxiv.org/abs/2511.16623 https://arxiv.org/pdf/2511.16623 https://arxiv.org/html/2511.16623
Reposted by arXiv cs.LG Machine Learning
Jurgen Mezinaj: From Polynomials to Databases: Arithmetic Structures in Galois Theory https://arxiv.org/abs/2511.16622 https://arxiv.org/pdf/2511.16622 https://arxiv.org/html/2511.16622
November 21, 2025 at 6:36 AM
Jurgen Mezinaj: From Polynomials to Databases: Arithmetic Structures in Galois Theory https://arxiv.org/abs/2511.16622 https://arxiv.org/pdf/2511.16622 https://arxiv.org/html/2511.16622
Reposted by arXiv cs.LG Machine Learning
Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko: Rate-optimal community detection near the KS threshold via node-robust algorithms https://arxiv.org/abs/2511.16613 https://arxiv.org/pdf/2511.16613 https://arxiv.org/html/2511.16613
November 21, 2025 at 6:53 AM
Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko: Rate-optimal community detection near the KS threshold via node-robust algorithms https://arxiv.org/abs/2511.16613 https://arxiv.org/pdf/2511.16613 https://arxiv.org/html/2511.16613
Reposted by arXiv cs.LG Machine Learning
Lukas Billera, Hedwig Nora Nordlinder, Ben Murrell: Time dependent loss reweighting for flow matching and diffusion models is theoretically justified https://arxiv.org/abs/2511.16599 https://arxiv.org/pdf/2511.16599 https://arxiv.org/html/2511.16599
November 21, 2025 at 6:53 AM
Lukas Billera, Hedwig Nora Nordlinder, Ben Murrell: Time dependent loss reweighting for flow matching and diffusion models is theoretically justified https://arxiv.org/abs/2511.16599 https://arxiv.org/pdf/2511.16599 https://arxiv.org/html/2511.16599
Reposted by arXiv cs.LG Machine Learning
Ivana Nikoloska, Osvaldo Simeone: Variational Quantum Integrated Sensing and Communication https://arxiv.org/abs/2511.16597 https://arxiv.org/pdf/2511.16597 https://arxiv.org/html/2511.16597
November 21, 2025 at 6:50 AM
Ivana Nikoloska, Osvaldo Simeone: Variational Quantum Integrated Sensing and Communication https://arxiv.org/abs/2511.16597 https://arxiv.org/pdf/2511.16597 https://arxiv.org/html/2511.16597
Reposted by arXiv cs.LG Machine Learning
Gaspard Ohlmann, Edwin Hamel-De le Court, Francesco Belardinelli: Synthesis of Safety Specifications for Probabilistic Systems https://arxiv.org/abs/2511.16579 https://arxiv.org/pdf/2511.16579 https://arxiv.org/html/2511.16579
November 21, 2025 at 6:32 AM
Gaspard Ohlmann, Edwin Hamel-De le Court, Francesco Belardinelli: Synthesis of Safety Specifications for Probabilistic Systems https://arxiv.org/abs/2511.16579 https://arxiv.org/pdf/2511.16579 https://arxiv.org/html/2511.16579
Reposted by arXiv cs.LG Machine Learning
Huanshuo Dong, Hong Wang, Hao Wu, Zhiwei Zhuang, Xuanze Yang, Ruiqi Shu, Yuan Gao, Xiaomeng Huang: An Exterior-Embedding Neural Operator Framework for Preserving Conservation Laws https://arxiv.org/abs/2511.16573 https://arxiv.org/pdf/2511.16573 https://arxiv.org/html/2511.16573
November 21, 2025 at 6:33 AM
Huanshuo Dong, Hong Wang, Hao Wu, Zhiwei Zhuang, Xuanze Yang, Ruiqi Shu, Yuan Gao, Xiaomeng Huang: An Exterior-Embedding Neural Operator Framework for Preserving Conservation Laws https://arxiv.org/abs/2511.16573 https://arxiv.org/pdf/2511.16573 https://arxiv.org/html/2511.16573
Reposted by arXiv cs.LG Machine Learning
Jiaheng Zhang, Daqiang Zhang: The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation https://arxiv.org/abs/2511.16543 https://arxiv.org/pdf/2511.16543 https://arxiv.org/html/2511.16543
November 21, 2025 at 6:32 AM
Jiaheng Zhang, Daqiang Zhang: The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation https://arxiv.org/abs/2511.16543 https://arxiv.org/pdf/2511.16543 https://arxiv.org/html/2511.16543
Reposted by arXiv cs.LG Machine Learning
\'Elo\"ise Benito-Rodriguez, Einar Urdshals, Jasmina Nasufi, Nicky Pochinkov: Beyond Tokens in Language Models: Interpreting Activations through Text Genre Chunks https://arxiv.org/abs/2511.16540 https://arxiv.org/pdf/2511.16540 https://arxiv.org/html/2511.16540
November 21, 2025 at 6:30 AM
\'Elo\"ise Benito-Rodriguez, Einar Urdshals, Jasmina Nasufi, Nicky Pochinkov: Beyond Tokens in Language Models: Interpreting Activations through Text Genre Chunks https://arxiv.org/abs/2511.16540 https://arxiv.org/pdf/2511.16540 https://arxiv.org/html/2511.16540
Reposted by arXiv cs.LG Machine Learning
Kwun Ho Ngan, Saman Sadeghi Afgeh, Joe Townsend, Artur d'Avila Garcez: Contrastive vision-language learning with paraphrasing and negation https://arxiv.org/abs/2511.16527 https://arxiv.org/pdf/2511.16527 https://arxiv.org/html/2511.16527
November 21, 2025 at 6:31 AM
Kwun Ho Ngan, Saman Sadeghi Afgeh, Joe Townsend, Artur d'Avila Garcez: Contrastive vision-language learning with paraphrasing and negation https://arxiv.org/abs/2511.16527 https://arxiv.org/pdf/2511.16527 https://arxiv.org/html/2511.16527
Reposted by arXiv cs.LG Machine Learning
Akshit Pramod Anchan, Ameiy Acharya, Leki Chom Thungon: Optimizing Quantum Key Distribution Network Performance using Graph Neural Networks https://arxiv.org/abs/2511.16468 https://arxiv.org/pdf/2511.16468 https://arxiv.org/html/2511.16468
November 21, 2025 at 6:50 AM
Akshit Pramod Anchan, Ameiy Acharya, Leki Chom Thungon: Optimizing Quantum Key Distribution Network Performance using Graph Neural Networks https://arxiv.org/abs/2511.16468 https://arxiv.org/pdf/2511.16468 https://arxiv.org/html/2511.16468
Reposted by arXiv cs.LG Machine Learning
Andrew Gomes: Anatomy of an Idiom: Tracing Non-Compositionality in Language Models https://arxiv.org/abs/2511.16467 https://arxiv.org/pdf/2511.16467 https://arxiv.org/html/2511.16467
November 21, 2025 at 6:30 AM
Andrew Gomes: Anatomy of an Idiom: Tracing Non-Compositionality in Language Models https://arxiv.org/abs/2511.16467 https://arxiv.org/pdf/2511.16467 https://arxiv.org/html/2511.16467
Reposted by arXiv cs.LG Machine Learning
Joy Lai, Alex Mihailidis: PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring https://arxiv.org/abs/2511.16445 https://arxiv.org/pdf/2511.16445 https://arxiv.org/html/2511.16445
November 21, 2025 at 6:29 AM
Joy Lai, Alex Mihailidis: PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring https://arxiv.org/abs/2511.16445 https://arxiv.org/pdf/2511.16445 https://arxiv.org/html/2511.16445
Reposted by arXiv cs.LG Machine Learning
Yihan Li, Nikhil Churamani, Maria Robu, Imanol Luengo, Danail Stoyanov: Graph Neural Networks for Surgical Scene Segmentation https://arxiv.org/abs/2511.16430 https://arxiv.org/pdf/2511.16430 https://arxiv.org/html/2511.16430
November 21, 2025 at 6:31 AM
Yihan Li, Nikhil Churamani, Maria Robu, Imanol Luengo, Danail Stoyanov: Graph Neural Networks for Surgical Scene Segmentation https://arxiv.org/abs/2511.16430 https://arxiv.org/pdf/2511.16430 https://arxiv.org/html/2511.16430
Reposted by arXiv cs.LG Machine Learning
Connor McElroy, Thiago E. A. de Oliveira, Chris Brogly: Classification of worldwide news articles by perceived quality, 2018-2024 https://arxiv.org/abs/2511.16416 https://arxiv.org/pdf/2511.16416 https://arxiv.org/html/2511.16416
November 21, 2025 at 6:30 AM
Connor McElroy, Thiago E. A. de Oliveira, Chris Brogly: Classification of worldwide news articles by perceived quality, 2018-2024 https://arxiv.org/abs/2511.16416 https://arxiv.org/pdf/2511.16416 https://arxiv.org/html/2511.16416
Reposted by arXiv cs.LG Machine Learning
Abdelrahman Helaly, Nourhan Sakr, Kareem Madkour, Ilhami Torunoglu: Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts https://arxiv.org/abs/2511.16374 https://arxiv.org/pdf/2511.16374 https://arxiv.org/html/2511.16374
November 21, 2025 at 6:29 AM
Abdelrahman Helaly, Nourhan Sakr, Kareem Madkour, Ilhami Torunoglu: Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts https://arxiv.org/abs/2511.16374 https://arxiv.org/pdf/2511.16374 https://arxiv.org/html/2511.16374
Reposted by arXiv cs.LG Machine Learning
Anna Luiza Gomes da Silva, Diego Kreutz, Angelo Diniz, Rodrigo Mansilha, Celso Nobre da Fonseca: Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen https://arxiv.org/abs/2511.16373 https://arxiv.org/pdf/2511.16373 https://arxiv.org/html/2511.16373
November 21, 2025 at 6:29 AM
Anna Luiza Gomes da Silva, Diego Kreutz, Angelo Diniz, Rodrigo Mansilha, Celso Nobre da Fonseca: Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen https://arxiv.org/abs/2511.16373 https://arxiv.org/pdf/2511.16373 https://arxiv.org/html/2511.16373
Reposted by arXiv cs.LG Machine Learning
Kasap, Najafi, Thevenot, Dan, Albini, Atienza: VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture https://arxiv.org/abs/2511.16346 https://arxiv.org/pdf/2511.16346 https://arxiv.org/html/2511.16346
November 21, 2025 at 6:36 AM
Kasap, Najafi, Thevenot, Dan, Albini, Atienza: VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture https://arxiv.org/abs/2511.16346 https://arxiv.org/pdf/2511.16346 https://arxiv.org/html/2511.16346
Reposted by arXiv cs.LG Machine Learning
Leander Girrbach, Zeynep Akata: Sparse Autoencoders are Topic Models https://arxiv.org/abs/2511.16309 https://arxiv.org/pdf/2511.16309 https://arxiv.org/html/2511.16309
November 21, 2025 at 6:31 AM
Leander Girrbach, Zeynep Akata: Sparse Autoencoders are Topic Models https://arxiv.org/abs/2511.16309 https://arxiv.org/pdf/2511.16309 https://arxiv.org/html/2511.16309
Reposted by arXiv cs.LG Machine Learning
William Hao-Cheng Huang: Spectral Identifiability for Interpretable Probe Geometry https://arxiv.org/abs/2511.16288 https://arxiv.org/pdf/2511.16288 https://arxiv.org/html/2511.16288
November 21, 2025 at 6:53 AM
William Hao-Cheng Huang: Spectral Identifiability for Interpretable Probe Geometry https://arxiv.org/abs/2511.16288 https://arxiv.org/pdf/2511.16288 https://arxiv.org/html/2511.16288
Reposted by arXiv cs.LG Machine Learning
Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang: FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks https://arxiv.org/abs/2511.16216 https://arxiv.org/pdf/2511.16216 https://arxiv.org/html/2511.16216
November 21, 2025 at 6:29 AM
Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang: FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks https://arxiv.org/abs/2511.16216 https://arxiv.org/pdf/2511.16216 https://arxiv.org/html/2511.16216
Reposted by arXiv cs.LG Machine Learning
Andrea Venturi, Imanol Jerico-Yoldi, Francesco Zola, Raul Orduna: ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures https://arxiv.org/abs/2511.16192 https://arxiv.org/pdf/2511.16192 https://arxiv.org/html/2511.16192
November 21, 2025 at 6:30 AM
Andrea Venturi, Imanol Jerico-Yoldi, Francesco Zola, Raul Orduna: ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures https://arxiv.org/abs/2511.16192 https://arxiv.org/pdf/2511.16192 https://arxiv.org/html/2511.16192