Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,981 to 2,040 of 20,192

A Unifying Perspective on Probabilities as Model Predictions
Benedikt Höltgen
stat.MLcs.CYcs.LGarXiv:2609.09855v12026
Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets
Judith Bernett, Anton Spannagl, Joel Ås +2
q-bio.MNcs.LGarXiv:2609.10193v12026
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Kai Yang, Yuanming Shi, Yong Zhou +3
eess.SPcs.LGcs.NIarXiv:2004.05843v12020
Deep learning via LSTM models for COVID-19 infection forecasting in India
Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
cs.LGcs.AIstat.AParXiv:2101.11881v22021
The Sample Complexity of Quantum Entanglement Allocation
Nathan Roll
quant-phcs.LGarXiv:2609.10141v12026
Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere
Sergey Nikiforov
astro-ph.EPcs.LGarXiv:2609.10077v12026
Likelihood-free inference with emulator networks
Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos +1
stat.MLcs.LGarXiv:1805.09294v22018
Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations
Soumyadeep Roy
cs.SDcs.LGarXiv:2609.10051v12026
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting +6
cs.CLcs.LGarXiv:2203.11364v12022
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah, Paras Sheth, Mansooreh Karami +5
cs.LGstat.MLarXiv:2102.05829v12021
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise
Michał Koziarski, Michał Woźniak, Bartosz Krawczyk
cs.LGstat.MLarXiv:2004.03406v12020
Reachability Deficits in Quantum Approximate Optimization
V. Akshay, H. Philathong, M. E. S. Morales +1
quant-phcond-mat.dis-nncond-mat.stat-mecharXiv:1906.11259v22019
Optimal Value Inference for Reinforcement Learning
Nan Lu, Ethan Lee, James M. Robins +2
stat.MLcs.LGstat.MEarXiv:2609.09981v12026
Including Signed Languages in Natural Language Processing
Kayo Yin, Amit Moryossef, Julie Hochgesang +2
cs.CLcs.AIcs.LGarXiv:2105.05222v22021
Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries
Pengfei Wen, Zhi-Sheng Ye, Yong Li +3
eess.SPcs.AIcs.LGarXiv:2301.00776v22023
Why Learning Rediscovers the Closed-Form Diagonal Regularizer
Jeahn Han, Pyojin Kim
stat.MLcs.LGcs.ROarXiv:2609.09656v12026
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
cs.ITcs.LGeess.SParXiv:2107.11015v12021
LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net
Giorgi Nikvashvili, Hanxue Gu, Jie Bao +2
cs.CVcs.LGarXiv:2609.09634v12026
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui +4
cs.CVcs.AIcs.CLarXiv:2403.13802v32024
Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs
Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi +1
cs.CRcs.AIcs.CLarXiv:2307.10490v42023
Physics-Informed Neural Nets for Control of Dynamical Systems
Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman +3
cs.LGarXiv:2104.02556v32021
MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection
Yuyao Wang, Juliana Y. Leung, Di Niu
cs.CVcs.LGarXiv:2609.09762v12026
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
Sungyong Baik, Janghoon Choi, Heewon Kim +3
cs.LGcs.CVarXiv:2110.03909v22021
Geometric organization of olfactory descriptor data in the Poincaré disk
Aniss Aiman Medbouhi, Farzaneh Taleb, Giovanni Luca Marchetti +1
cs.CEcs.LGstat.AParXiv:2609.09573v12026
Stealing Neural Networks via Timing Side Channels
Vasisht Duddu, Debasis Samanta, D Vijay Rao +1
cs.CRcs.LGarXiv:1812.11720v42018
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
Binghao Huang, Yixuan Wang, Xinyi Yang +2
cs.ROcs.AIcs.LGarXiv:2410.24091v22024
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4
cs.LGcs.CVstat.MLarXiv:1711.03189v52017
Benchmarking Attribution Methods with Relative Feature Importance
Mengjiao Yang, Been Kim
cs.LGstat.MLarXiv:1907.09701v22019
Learning Relevant Features of Data with Multi-scale Tensor Networks
E. M. Stoudenmire
stat.MLcond-mat.stat-mechcond-mat.str-elarXiv:1801.00315v12017
When Does Low-Bit Quantization Preserve the Decisions of Vector Search?
Wenxuan Xiao, Xu Cao
cs.DBcs.IRcs.LGarXiv:2609.09854v12026
Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks
Sungho Jeon, Jong-Woo Shin, Young-Jun Lee +3
cs.SDcs.LGarXiv:1701.05779v12017
Efficient Graph Neural Networks for Multicarrier Wideband Hybrid Beamforming Optimization
Beier Li, Mai Vu
eess.SPcs.LGcs.NIarXiv:2609.09708v12026
Discretizing Continuous Action Space for On-Policy Optimization
Yunhao Tang, Shipra Agrawal
cs.LGcs.AIarXiv:1901.10500v42019
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei
cs.LGstat.MLarXiv:2006.05057v32020
Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking
Duncan Stewardson, Grayson W. White, Adam Groce
stat.MEcs.CRcs.LGarXiv:2609.09536v12026
Distillation of Synthetic Data for Time Series Foundation Models
Niloy Biswas, Noureddine El Karoui
stat.MLcs.LGarXiv:2609.09586v12026
Oracle Complexity of Stochastic Fixed-Point Equations with Nonexpansive Maps
Jelena Diakonikolas, Cristóbal Guzmán, David Martínez-Rubio
math.OCcs.DScs.LGarXiv:2609.09524v12026
Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs
James O. Baldwin, Shy Genel, Francisco Villaescusa-Navarro
astro-ph.COcs.LGarXiv:2609.09504v12026
2D Car Detection in Radar Data with PointNets
Andreas Danzer, Thomas Griebel, Martin Bach +1
cs.CVcs.LGstat.MLarXiv:1904.08414v32019
Direct Uncertainty Prediction for Medical Second Opinions
Maithra Raghu, Katy Blumer, Rory Sayres +4
cs.LGstat.MLarXiv:1807.01771v42018
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Sammy Christen, Muhammed Kocabas, Emre Aksan +3
cs.CVcs.LGcs.ROarXiv:2112.03028v22021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Şimşek, François Ged, Arthur Jacot +4
cs.LGarXiv:2105.12221v22021
A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography
Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1
quant-phcs.LGeess.SParXiv:2609.09457v12026
Learning Disentangled Semantic Representation for Domain Adaptation
Ruichu Cai, Zijian Li, Pengfei Wei +3
cs.CVcs.LGarXiv:2012.11807v12020
Analyzing Transformers in Embedding Space
Guy Dar, Mor Geva, Ankit Gupta +1
cs.CLcs.LGarXiv:2209.02535v32022
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo, Yannan Liu, Lingxiao Wei +1
cs.LGcs.CRstat.MLarXiv:1801.04693v12018
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
Hanyuan Zhang, Hao Wu, Weiwei Sun +1
cs.LGcs.CVstat.MLarXiv:1802.02147v12018
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé, Nino Vieillard, Léonard Hussenot +4
cs.LGcs.AIcs.CLarXiv:2401.12187v12024
Gaussian Approximation for Multivariate Martingale Sums from Uniformly Ergodic Markov Chains
Yixuan Zhang, Qiaomin Xie
math.PRcs.LGstat.MLarXiv:2609.09480v12026
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
Stephen H. Bach, Daniel Rodriguez, Yintao Liu +10
cs.LGstat.MLarXiv:1812.00417v22018
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2005.11295v12020
LeCor: Learning to Be Corrected by Meta-Learned Test-Time Training for Interactive 3D Lung-Tumour Segmentation
Yi Luo, Yike Guo, Wenxuan Li +3
cs.CVcs.LGarXiv:2609.09477v12026
Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation
Qi Feng, Rongjie Lai, Di Qi +1
stat.MLcs.LGarXiv:2609.09473v12026
GRAG: Graph Retrieval-Augmented Generation
Yuntong Hu, Zhihan Lei, Zheng Zhang +3
cs.LGarXiv:2405.16506v32024
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
Kiran Seshadri, Berkin Akin, James Laudon +2
cs.LGcs.ARarXiv:2102.10423v22021
Concept drift mitigation through community and spectral graph analysis for the detectionof cyberattacks in network traffic
Julien Michel, Abdul Qadir Khan, Majed Jaber +1
cs.CRcs.LGcs.NIarXiv:2609.09442v12026
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan, Yangyi Chen, Ganqu Cui +6
cs.CLcs.CRcs.LGarXiv:2306.04618v22023
MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra
Balázs Csanád Csáji, Bálint Horváth
math.STcs.LGeess.SParXiv:2609.09436v12026
X-amine509: Predicting the Practical Risk Level of Enterprise X.509 Certificates
Cameron Keith, Shubh Patel, JD Kilgallin +1
cs.CRcs.LGarXiv:2609.09402v12026
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks
Bo Wu, Wen-Huang Cheng, Yongdong Zhang +3
cs.SIcs.AIcs.LGarXiv:1712.04443v12017

Machine Learning

A Unifying Perspective on Probabilities as Model Predictions

Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

Deep learning via LSTM models for COVID-19 infection forecasting in India

The Sample Complexity of Quantum Entanglement Allocation

Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere

Likelihood-free inference with emulator networks

Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Causal Inference for Time series Analysis: Problems, Methods and Evaluation

Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise

Reachability Deficits in Quantum Approximate Optimization

Optimal Value Inference for Reinforcement Learning

Including Signed Languages in Natural Language Processing

Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries

Why Learning Rediscovers the Closed-Form Diagonal Regularizer

Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach

LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs

Physics-Informed Neural Nets for Control of Dynamical Systems

MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

Geometric organization of olfactory descriptor data in the Poincaré disk

Stealing Neural Networks via Timing Side Channels

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing

Deep Hyperspherical Learning

Benchmarking Attribution Methods with Relative Feature Importance

Learning Relevant Features of Data with Multi-scale Tensor Networks

When Does Low-Bit Quantization Preserve the Decisions of Vector Search?

Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks

Efficient Graph Neural Networks for Multicarrier Wideband Hybrid Beamforming Optimization

Discretizing Continuous Action Space for On-Policy Optimization

Towards More Practical Adversarial Attacks on Graph Neural Networks

Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking

Distillation of Synthetic Data for Time Series Foundation Models

Oracle Complexity of Stochastic Fixed-Point Equations with Nonexpansive Maps

Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs

2D Car Detection in Radar Data with PointNets

Direct Uncertainty Prediction for Medical Second Opinions

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography

Learning Disentangled Semantic Representation for Domain Adaptation

Analyzing Transformers in Embedding Space

Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks

DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

WARM: On the Benefits of Weight Averaged Reward Models

Gaussian Approximation for Multivariate Martingale Sums from Uniformly Ergodic Markov Chains

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

LeCor: Learning to Be Corrected by Meta-Learned Test-Time Training for Interactive 3D Lung-Tumour Segmentation

Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation

GRAG: Graph Retrieval-Augmented Generation

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

Concept drift mitigation through community and spectral graph analysis for the detectionof cyberattacks in network traffic

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations

MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

X-amine509: Predicting the Practical Risk Level of Enterprise X.509 Certificates

Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks