Machine Learning

Authors and titles for recent submissions, skipping first 129

• Mon, 6 May 2024
• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024

Fri, 3 May 2024 (continued, showing 25 of 163 entries)

[130]  arXiv:2405.01349 [pdf, other]

Title: Position Paper: Beyond Robustness Against Single Attack Types

Authors: Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal

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

[131]  arXiv:2405.01327 [pdf, other]

Title: Constrained Reinforcement Learning Under Model Mismatch

Authors: Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou

Comments: ICML 2024

Subjects: Machine Learning (cs.LG)

[132]  arXiv:2405.01319 [pdf, other]

Title: Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs

Authors: Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)

[133]  arXiv:2405.01306 [pdf, other]

Title: Graph is all you need? Lightweight data-agnostic neural architecture search without training

Authors: Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Chunhen Jiang, Jianxi Gao

Subjects: Machine Learning (cs.LG)

[134]  arXiv:2405.01270 [pdf, other]

Title: The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks

Authors: Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker

Comments: International Symposium on Biomedical Imaging (ISBI)

Subjects: Machine Learning (cs.LG)

[135]  arXiv:2405.01263 [pdf, other]

Title: An Online Gradient-Based Caching Policy with Logarithmic Complexity and Regret Guarantees

Authors: Damiano Carra, Giovanni Neglia

Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI); Operating Systems (cs.OS)

[136]  arXiv:2405.01261 [pdf, other]

Title: Continuously evolving rewards in an open-ended environment

Authors: Richard M. Bailey

Comments: 30 pages, 8 figures

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[137]  arXiv:2405.01260 [pdf, other]

Title: Causal Influence in Federated Edge Inference

Authors: Mert Kayaalp, Yunus Inan, Visa Koivunen, Ali H. Sayed

Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA); Signal Processing (eess.SP); Systems and Control (eess.SY)

[138]  arXiv:2405.01251 [pdf, other]

Title: Revisiting semi-supervised training objectives for differentiable particle filters

Authors: Jiaxi Li, John-Joseph Brady, Xiongjie Chen, Yunpeng Li

Comments: 5 pages, 2 figures

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

[139]  arXiv:2405.01247 [pdf, other]

Title: Lying Graph Convolution: Learning to Lie for Node Classification Tasks

Authors: Daniele Castellana

Comments: Accepted to IJCNN2024

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

[140]  arXiv:2405.01229 [pdf, ps, other]

Title: Boosting Jailbreak Attack with Momentum

Authors: Yihao Zhang, Zeming Wei

Comments: ICLR 2024 Workshop on Reliable and Responsible Foundation Models

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Cryptography and Security (cs.CR); Optimization and Control (math.OC)

[141]  arXiv:2405.01207 [pdf, ps, other]

Title: Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features

Authors: Francisco Teixeira, Karla Pizzi, Raphael Olivier, Alberto Abad, Bhiksha Raj, Isabel Trancoso

Comments: Trustworthy Speech Processing, Satellite Workshop at ICASSP 2024

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[142]  arXiv:2405.01205 [pdf, other]

Title: Error-Driven Uncertainty Aware Training

Authors: Pedro Mendes, Paolo Romano, David Garlan

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

[143]  arXiv:2405.01198 [pdf, other]

Title: Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies

Authors: Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork

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

[144]  arXiv:2405.01196 [pdf, other]

Title: Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

Authors: Mikkel Jordahn, Pablo M. Olmos

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

[145]  arXiv:2405.01189 [pdf, other]

Title: Gradient-Congruity Guided Federated Sparse Training

Authors: Chris Xing Tian, Yibing Liu, Haoliang Li, Ray C.C. Cheung, Shiqi Wang

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

[146]  arXiv:2405.01186 [pdf, other]

Title: Potential Energy based Mixture Model for Noisy Label Learning

Authors: Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia

Comments: 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

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

[147]  arXiv:2405.01158 [pdf, other]

Title: Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI

Authors: Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto

Comments: 6 pages, submitted to IEEE RTSI 2024

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

[148]  arXiv:2405.01157 [pdf, other]

Title: Tabular and Deep Reinforcement Learning for Gittins Index

Authors: Harshit Dhankar, Kshitij Mishra, Tejas Bodas

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

[149]  arXiv:2405.01155 [pdf, other]

Title: SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways

Authors: Miruna Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò

Comments: Presented at ICLR 2024 GEM Workshop

Subjects: Machine Learning (cs.LG); Biomolecules (q-bio.BM)

[150]  arXiv:2405.01147 [pdf, other]

Title: Why Tabular Foundation Models Should Be a Research Priority

Authors: Boris van Breugel, Mihaela van der Schaar

Comments: Accepted at International Conference on Machine Learning (ICML 2024)

Subjects: Machine Learning (cs.LG)

[151]  arXiv:2405.01142 [pdf, other]

Title: Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

Authors: Yipeng Li, Xinchen Lyu

Comments: arXiv admin note: text overlap with arXiv:2311.03154

Subjects: Machine Learning (cs.LG)

[152]  arXiv:2405.01125 [pdf, other]

Title: Lipschitz constant estimation for general neural network architectures using control tools

Authors: Patricia Pauli, Dennis Gramlich, Frank Allgöwer

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Systems and Control (eess.SY)

[153]  arXiv:2405.01114 [pdf, other]

Title: Continual Imitation Learning for Prosthetic Limbs

Authors: Sharmita Dey, Benjamin Paassen, Sarath Ravindran Nair, Sabri Boughorbel, Arndt F. Schilling

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

[154]  arXiv:2405.01102 [pdf, other]

Title: Less is More: on the Over-Globalizing Problem in Graph Transformers

Authors: Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi

Comments: Accepted by ICML 2024

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

• Mon, 6 May 2024
• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024