Machine Learning

Authors and titles for cs.LG in Jun 2023, skipping first 50

[51]  arXiv:2306.00392 [pdf, other]

Title: Coneheads: Hierarchy Aware Attention

Authors: Albert Tseng, Tao Yu, Toni J.B. Liu, Christopher De Sa

Comments: NeurIPS 2023

Subjects: Machine Learning (cs.LG)

[52]  arXiv:2306.00406 [pdf, ps, other]

Title: Faster Robust Tensor Power Method for Arbitrary Order

Authors: Yichuan Deng, Zhao Song, Junze Yin

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[53]  arXiv:2306.00427 [pdf, other]

Title: Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift

Authors: Liangxuan Guo, Yang Chen, Shan Yu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

[54]  arXiv:2306.00455 [pdf, ps, other]

Title: MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals

Authors: David Vivancos

Comments: 9 pages, 10 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC)

[55]  arXiv:2306.00488 [pdf, other]

Title: Reconstructing Graph Diffusion History from a Single Snapshot

Authors: Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong

Comments: Full version of the KDD 2023 paper (including the appendix)

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[56]  arXiv:2306.00497 [pdf, other]

Title: The Risks of Recourse in Binary Classification

Authors: Hidde Fokkema, Damien Garreau, Tim van Erven

Comments: 24 pages, 8 figures, 5 tables

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Machine Learning (stat.ML)

[57]  arXiv:2306.00522 [pdf, other]

Title: A New PHO-rmula for Improved Performance of Semi-Structured Networks

Authors: David Rügamer

Comments: ICML 2023

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[58]  arXiv:2306.00528 [pdf, other]

Title: Neuronal Cell Type Classification using Deep Learning

Authors: Ofek Ophir, Orit Shefi, Ofir Lindenbaum

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Neurons and Cognition (q-bio.NC)

[59]  arXiv:2306.00539 [pdf, other]

Title: A Call for Standardization and Validation of Text Style Transfer Evaluation

Authors: Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz

Comments: Accepted to Findings of ACL 2023

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[60]  arXiv:2306.00550 [pdf, other]

Title: Chain-Of-Thought Prompting Under Streaming Batch: A Case Study

Authors: Yuxin Tang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[61]  arXiv:2306.00560 [pdf, other]

Title: Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks

Authors: Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssen

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[62]  arXiv:2306.00577 [pdf, other]

Title: TorchRL: A data-driven decision-making library for PyTorch

Authors: Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[63]  arXiv:2306.00578 [pdf, other]

Title: Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?

Authors: Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

[64]  arXiv:2306.00582 [pdf, other]

Title: Anomaly Detection with Variance Stabilized Density Estimation

Authors: Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum

Comments: 9 pages, 7 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[65]  arXiv:2306.00585 [pdf, other]

Title: Causal Imitability Under Context-Specific Independence Relations

Authors: Fateme Jamshidi, Sina Akbari, Negar Kiyavash

Comments: 19 pages, 4 figures, under review

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[66]  arXiv:2306.00586 [pdf, other]

Title: Evaluating the "Learning on Graphs" Conference Experience

Authors: Bastian Rieck, Corinna Coupette

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)

[67]  arXiv:2306.00600 [pdf, other]

Title: Rotating Features for Object Discovery

Authors: Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling

Comments: Oral presentation at NeurIPS 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

[68]  arXiv:2306.00603 [pdf, other]

Title: Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Authors: Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Comments: We propose a method to handle the constraint problem with dynamically determined safety budgets under the offline setting

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)

[69]  arXiv:2306.00607 [pdf, other]

Title: FACT: Federated Adversarial Cross Training

Authors: Stefan Schrod, Jonas Lippl, Andreas Schäfer, Michael Altenbuchinger

Subjects: Machine Learning (cs.LG)

[70]  arXiv:2306.00620 [pdf, other]

Title: OTW: Optimal Transport Warping for Time Series

Authors: Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C.H. Hoi

Comments: This is an extended version of an ICASSP 2023 accepted paper this https URL

Subjects: Machine Learning (cs.LG)

[71]  arXiv:2306.00629 [pdf, other]

Title: Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

Authors: Andreas Schlaginhaufen, Maryam Kamgarpour

Comments: Published at ICML 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Systems and Control (eess.SY); Optimization and Control (math.OC)

[72]  arXiv:2306.00643 [pdf, other]

Title: TriSig: Assessing the statistical significance of triclusters

Authors: Leonardo Alexandre, Rafael S. Costa, Rui Henriques

Subjects: Machine Learning (cs.LG); Methodology (stat.ME)

[73]  arXiv:2306.00651 [pdf, other]

Title: Learning Prescriptive ReLU Networks

Authors: Wei Sun, Asterios Tsiourvas

Comments: 17 pages, 6 figures, accepted at ICML 23

Subjects: Machine Learning (cs.LG); Applications (stat.AP); Machine Learning (stat.ML)

[74]  arXiv:2306.00656 [pdf, other]

Title: Normalization Enhances Generalization in Visual Reinforcement Learning

Authors: Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[75]  arXiv:2306.00684 [pdf, other]

Title: Balanced Training of Energy-Based Models with Adaptive Flow Sampling

Authors: Louis Grenioux, Éric Moulines, Marylou Gabrié

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)