Machine Learning

Authors and titles for recent submissions

• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024

Fri, 3 May 2024 (showing first 50 of 163 entries)

[1]  arXiv:2405.01534 [pdf, other]

Title: Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

Authors: Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot, Ruslan Salakhutdinov

Comments: Published at ICLR 2024. Website at this https URL 9 pages, 3 figures, 3 tables; 14 pages appendix (7 additional figures)

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

[2]  arXiv:2405.01531 [pdf, other]

Title: Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

Authors: Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata

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

[3]  arXiv:2405.01524 [pdf, other]

Title: A separability-based approach to quantifying generalization: which layer is best?

Authors: Luciano Dyballa, Evan Gerritz, Steven W. Zucker

Comments: 6, pages, 5 figures

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

[4]  arXiv:2405.01507 [pdf, other]

Title: Accelerating Convergence in Bayesian Few-Shot Classification

Authors: Tianjun Ke, Haoqun Cao, Feng Zhou

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

[5]  arXiv:2405.01488 [pdf, other]

Title: Digital Twin Generators for Disease Modeling

Authors: Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh

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

[6]  arXiv:2405.01480 [pdf, other]

Title: Common pitfalls to avoid while using multiobjective optimization in machine learning

Authors: Junaid Akhter, Paul David Fährmann, Konstantin Sonntag, Sebastian Peitz

Comments: 21 pages, 12 figures

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)

[7]  arXiv:2405.01468 [pdf, other]

Title: Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models

Authors: Yifei Ming, Yixuan Li

Comments: The paper is accepted at ICML 2024

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

[8]  arXiv:2405.01462 [pdf, other]

Title: Uncertainty for Active Learning on Graphs

Authors: Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier, Antonio Oroz, Stephan Günnemann

Subjects: Machine Learning (cs.LG)

[9]  arXiv:2405.01451 [pdf, other]

Title: Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport

Authors: Akshay Mehra, Yunbei Zhang, Jihun Hamm

Subjects: Machine Learning (cs.LG)

[10]  arXiv:2405.01389 [pdf, other]

Title: Invariant Risk Minimization Is A Total Variation Model

Authors: Zhao-Rong Lai, Wei-Wen Wang

Subjects: Machine Learning (cs.LG)

[11]  arXiv:2405.01365 [pdf, other]

Title: Dynamic Online Ensembles of Basis Expansions

Authors: Daniel Waxman, Petar M. Djurić

Comments: 34 pages, 14 figures. Accepted to Transactions on Machine Learning Research (TMLR)

Journal-ref: Transactions on Machine Learning Research (TMLR), 2024

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

[12]  arXiv:2405.01350 [pdf, other]

Title: Community-Invariant Graph Contrastive Learning

Authors: Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

Comments: This paper is accepted by ICML-2024

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

[13]  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)

[14]  arXiv:2405.01327 [pdf, other]

Title: Constrained Reinforcement Learning Under Model Mismatch

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

Subjects: Machine Learning (cs.LG)

[15]  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)

[16]  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)

[17]  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)

[18]  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)

[19]  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)

[20]  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)

[21]  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)

[22]  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)

[23]  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)

[24]  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)

[25]  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)

[26]  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)

[27]  arXiv:2405.01196 [pdf, other]

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

Authors: Mikkel Jordahn, Pablo Olmos

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

[28]  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)

[29]  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)

[30]  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)

[31]  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)

[32]  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)

[33]  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)

[34]  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)

[35]  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)

[36]  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)

[37]  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)

[38]  arXiv:2405.01073 [pdf, other]

Title: Poisoning Attacks on Federated Learning for Autonomous Driving

Authors: Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman

Comments: Accepted to SCAI2024

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

[39]  arXiv:2405.01067 [pdf, other]

Title: AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning

Authors: Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)

[40]  arXiv:2405.01060 [pdf, other]

Title: A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bands

Authors: Tong Lei, Brian N. Bailey

Comments: The paper has been submitted to Remote sensing of Environment and revised

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)

[41]  arXiv:2405.01055 [pdf, ps, other]

Title: Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction

Authors: Yin Huang, Yongqi Dong, Youhua Tang, Li Li

Comments: 7 pages, 5 figures, under review by the 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024)

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

[42]  arXiv:2405.01053 [pdf, other]

Title: Explicitly Modeling Generality into Self-Supervised Learning

Authors: Jingyao Wang, Wenwen Qiang, Changwen Zheng

Comments: 28 pages

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

[43]  arXiv:2405.01052 [pdf, ps, other]

Title: Polynomial Chaos Expanded Gaussian Process

Authors: Dominik Polke, Tim Kösters, Elmar Ahle, Dirk Söffker

Comments: Manuscript: 20 pages, 4 figures, 7 tables

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)

[44]  arXiv:2405.01041 [pdf, other]

Title: Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation

Authors: Tianyi Chen, Zhi-Qin John Xu

Subjects: Machine Learning (cs.LG)

[45]  arXiv:2405.01033 [pdf, other]

Title: CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes

Authors: Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No

Comments: 13 pages

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)

[46]  arXiv:2405.01031 [pdf, other]

Title: The Privacy Power of Correlated Noise in Decentralized Learning

Authors: Youssef Allouah, Anastasia Koloskova, Aymane El Firdoussi, Martin Jaggi, Rachid Guerraoui

Comments: Accepted as conference paper at ICML 2024

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC); Optimization and Control (math.OC); Machine Learning (stat.ML)

[47]  arXiv:2405.01013 [pdf, other]

Title: Non-clairvoyant Scheduling with Partial Predictions

Authors: Ziyad Benomar, Vianney Perchet

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS)

[48]  arXiv:2405.01010 [pdf, other]

Title: Efficient and Adaptive Posterior Sampling Algorithms for Bandits

Authors: Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

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

[49]  arXiv:2405.01009 [pdf, other]

Title: Tackling Graph Oversquashing by Global and Local Non-Dissipativity

Authors: Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

Subjects: Machine Learning (cs.LG)

[50]  arXiv:2405.00987 [pdf, other]

Title: S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Authors: Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

Comments: Accepted for publication at ICLR 2024

Subjects: Machine Learning (cs.LG)

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