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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28,861 to 28,920 of 32,696

Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at Scale
Vaibhav Singh, Pierre-André Noël, Torsten Scholak +2
cs.LGarXiv:2609.11998v12026
Minimum Energy Quantized Neural Networks
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer +1
cs.NEcs.ARcs.LGarXiv:1711.00215v22017
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
Sergii Stirenko, Yuriy Kochura, Oleg Alienin +4
cs.LGcs.CVcs.CYarXiv:1803.01199v12018
Explainable AI: current status and future directions
Prashant Gohel, Priyanka Singh, Manoranjan Mohanty
cs.LGcs.AIarXiv:2107.07045v12021
One Mastery Threshold Does Not Fit All Knowledge Tracing Models
Xianghui Meng, Yujing Zhang, Jionghao Lin
cs.LGarXiv:2610.00095v12026
When Does Advection-Aware Graph Nowcasting Help? A Controlled Study of Distributed Solar Ramp Forecasting with a Self-Supervised Cloud-Motion Estimator
Phillip Jiang
cs.LGcs.AIarXiv:2609.30286v12026
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation
Jiawei Huang, Yi Ren, Rongjie Huang +7
cs.SDcs.LGcs.MMarXiv:2305.18474v12023
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt, Daniel Palenicek, Boris Belousov +4
cs.LGstat.MLarXiv:1902.05605v42019
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha, Ajay Mandlekar, Animesh Garg
cs.LGarXiv:2103.06326v22021
An AI-assisted conditioning and geological interpretation workflow for usage in implicit geological modeling
Stefan Carpentier, Jan Diederik van Wees, Eva de Boever +5
physics.geo-phcs.AIcs.LGarXiv:2610.09871v12026
Progress and Prospect of AI in ARPES Workflow
Sandy Adhitia Ekahana, Aalok Tiwari, Pratik Saud +4
cond-mat.othercs.LGphysics.data-anarXiv:2610.10140v12026
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yifan Zhang, Wei Chen +6
cs.LGcs.AIarXiv:2402.02713v22024
Author Identification using Multi-headed Recurrent Neural Networks
Douglas Bagnall
cs.CLcs.LGcs.NEarXiv:1506.04891v22015
TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback
Chengyu Yu, Leon Jacopo Costa, Zoja Anžur +6
cs.LGcs.HCarXiv:2610.06657v12026
CADFather: Autonomous CAD Reconstruction through Coordinated Tool Use
Gennadiy Savrasov, Maksim Elistratov, Nikita Gavrilov +7
cs.AIcs.LGarXiv:2610.09127v12026
Towards Verifiable Text Generation with Symbolic References
Lucas Torroba Hennigen, Shannon Shen, Aniruddha Nrusimha +3
cs.CLcs.AIcs.LGarXiv:2311.09188v22023
Gradient Amplification: An efficient way to train deep neural networks
Sunitha Basodi, Chunyan Ji, Haiping Zhang +1
cs.LGcs.CVstat.MLarXiv:2006.10560v12020
Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action Models
Jiho Lee, Jeongeun Park, Heayoun Choi +2
cs.ROcs.AIcs.LGarXiv:2610.09496v12026
Applying Machine Learning to Study Fluid Mechanics
Steven L. Brunton
physics.flu-dyncs.LGarXiv:2110.02083v12021
Automated Pest Detection with DNN on the Edge for Precision Agriculture
Andrea Albanese, Matteo Nardello, Davide Brunelli
cs.LGcs.CVarXiv:2108.00421v12021
MixGen: A New Multi-Modal Data Augmentation
Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju +4
cs.CVcs.AIcs.LGarXiv:2206.08358v32022
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam +2
cs.CLcs.LGarXiv:2310.11207v12023
FathomNet: A global image database for enabling artificial intelligence in the ocean
Kakani Katija, Eric Orenstein, Brian Schlining +8
cs.CVcs.LGeess.IVarXiv:2109.14646v42021
Coupling Learning of Complex Interactions
Longbing Cao
cs.LGcs.AIcs.IRarXiv:2007.13534v12020
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Joel Shor, Dotan Emanuel, Oran Lang +9
cs.CLcs.LGcs.SDarXiv:1907.13511v12019
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
Gang Li, Yang Li
cs.CVcs.HCcs.LGarXiv:2209.14927v42022
Isotropic Yet Undecodable: The Sequential Content-Sufficiency Gap in Latent-Predictive Text Representations
K. P. Santoso, N. Z. Fadil, F. P. Harsanti +2
cs.AIcs.CLcs.LGarXiv:2610.07906v12026
LLMSTEP: LLM proofstep suggestions in Lean
Sean Welleck, Rahul Saha
cs.AIcs.LGarXiv:2310.18457v12023
Adversarial Sampling for Active Learning
Christoph Mayer, Radu Timofte
cs.LGcs.CVstat.MLarXiv:1808.06671v22018
A New Mask R-CNN Based Method for Improved Landslide Detection
Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli +4
cs.CVcs.LGarXiv:2010.01499v12020
Federated Learning for Industrial Internet of Things in Future Industries
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +4
cs.LGeess.SParXiv:2105.14659v12021
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future
Philipp Hacker
cs.CYcs.AIcs.LGarXiv:2211.13960v62022
A Note on Scaling in Randomly Rotated Quantization and Its Connection to the CDEF +1 Pythagorean Relation
Uri Erez
cs.ITcs.LGmath.ITarXiv:2609.08759v12026
Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM
Afsara Khan, Austin Rovinski
cs.ARcs.LGarXiv:2609.08232v12026
PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games
Ryan Truong, Lance Ying, Samuel J. Gershman +1
cs.LGarXiv:2609.09059v22026
MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling
Mingyuan Zhang, Yue Bai, Zhongruo Wang +5
cs.LGarXiv:2610.07809v12026
Topological Fraud Detection in Latent Transaction Spaces
Avraham Bourla
cs.LGcs.CRarXiv:2609.08445v12026
REViT-v2: Hierarchical Windowed Roto-reflection Equivariant ViT for Equivariant Feature Extraction
Sheir A. Zaheer, Jihwan Moon, Chan Y. Park
cs.CVcs.LGarXiv:2610.07585v12026
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation
David Dao, Dan Alistarh, Claudiu Musat +1
cs.ETcs.AIcs.DBarXiv:1802.04780v12018
Active One-shot Learning
Mark Woodward, Chelsea Finn
cs.LGarXiv:1702.06559v12017
FedDermaSeg: Federated Learning for Dermatological Image Segmentation
Anabik Pal, Ganesh Patidar, Bikash Santra
cs.CVcs.AIcs.LGarXiv:2610.08574v12026
Technical Report on the Turba Fertilizer Machine Learning Stack in Morocco
Abdelghani Belgaid, Zakaria Mahmoud, Fahd Chibani +3
cs.LGcs.SEarXiv:2610.05949v12026
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
Ziyu Liu, Zeyi Sun, Yuhang Zang +6
cs.CVcs.AIcs.LGarXiv:2403.13805v22024
Making COMET Comparable Across Scripts: Diagnosis and Correction of Tokeniser-Induced Script Bias in Indic MT Evaluation
G. L. John Salvin, Swapnil Hingmire
cs.CLcs.LGarXiv:2610.08159v12026
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting
Samit Bhanja, Abhishek Das
cs.LGstat.MLarXiv:1812.05519v22018
Real-World Robot Applications of Foundation Models: A Review
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella +3
cs.ROcs.AIcs.CVarXiv:2402.05741v22024
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang, Lei Tai, Peng Yun +4
cs.ROcs.CVcs.LGarXiv:1802.00265v42018
Large Language Models in Cybersecurity: State-of-the-Art
Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd +3
cs.CRcs.AIcs.CLarXiv:2402.00891v12024
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman +2
cs.CRcs.LGarXiv:2204.04837v12022
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
Md Hasan Shahriar, Nur Imtiazul Haque, Mohammad Ashiqur Rahman +1
cs.CRcs.LGarXiv:2006.00676v12020
Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization
Pauric Bannigan, Siddarth Chandrasekaran, Brigitte A. G. Lamers +6
cs.LGcs.AIarXiv:2610.08368v12026
XFake: Explainable Fake News Detector with Visualizations
Fan Yang, Shiva K. Pentyala, Sina Mohseni +6
cs.CYcs.CLcs.LGarXiv:1907.07757v12019
A Model Compression Method with Matrix Product Operators for Speech Enhancement
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu +2
cs.SDcs.LGeess.ASarXiv:2010.04950v12020
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
Kyra Wilson, Aylin Caliskan
cs.CYcs.AIcs.CLarXiv:2407.20371v32024
Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems
Guangneng Chen, David Garcia Selfa, Pablo Quesada Barriuso
cs.DCcs.LGcs.PFarXiv:2609.07740v12026
Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
Nurettin Safak, Muhammet Sefa Demirel, Alperen Marasli +3
eess.SPcs.LGarXiv:2609.07726v12026
Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation
Geonmyeong Lee, Byoung-Tak Zhang
cs.ROcs.LGarXiv:2609.07126v12026
Adversarial Perturbations Against Real-Time Video Classification Systems
Shasha Li, Ajaya Neupane, Sujoy Paul +4
cs.LGcs.CRcs.CVarXiv:1807.00458v12018
DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks
Antoine Edy, Max Conti, Victor Xing +3
cs.AIcs.CLcs.LGarXiv:2610.08048v12026
MetaKV: Adaptive KV Cache Compression for Constrained LLM Inference
Michael Wang, Keith Li, Roozbeh Bostandoost
cs.LGarXiv:2609.07966v12026

Machine Learning

Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at Scale

Minimum Energy Quantized Neural Networks

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

Explainable AI: current status and future directions

One Mastery Threshold Does Not Fit All Knowledge Tracing Models

When Does Advection-Aware Graph Nowcasting Help? A Controlled Study of Distributed Solar Ramp Forecasting with a Self-Supervised Cloud-Motion Estimator

Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

An AI-assisted conditioning and geological interpretation workflow for usage in implicit geological modeling

Progress and Prospect of AI in ARPES Workflow

Position: What Can Large Language Models Tell Us about Time Series Analysis

Author Identification using Multi-headed Recurrent Neural Networks

TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback

CADFather: Autonomous CAD Reconstruction through Coordinated Tool Use

Towards Verifiable Text Generation with Symbolic References

Gradient Amplification: An efficient way to train deep neural networks

Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action Models

Applying Machine Learning to Study Fluid Mechanics

Automated Pest Detection with DNN on the Edge for Precision Agriculture

MixGen: A New Multi-Modal Data Augmentation

Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

FathomNet: A global image database for enabling artificial intelligence in the ocean

Coupling Learning of Complex Interactions

Personalizing ASR for Dysarthric and Accented Speech with Limited Data

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Isotropic Yet Undecodable: The Sequential Content-Sufficiency Gap in Latent-Predictive Text Representations

LLMSTEP: LLM proofstep suggestions in Lean

Adversarial Sampling for Active Learning

A New Mask R-CNN Based Method for Improved Landslide Detection

Federated Learning for Industrial Internet of Things in Future Industries

The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future

A Note on Scaling in Randomly Rotated Quantization and Its Connection to the CDEF +1 Pythagorean Relation

Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM

PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games

MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling

Topological Fraud Detection in Latent Transaction Spaces

REViT-v2: Hierarchical Windowed Roto-reflection Equivariant ViT for Equivariant Feature Extraction

DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation

Active One-shot Learning

FedDermaSeg: Federated Learning for Dermatological Image Segmentation

Technical Report on the Turba Fertilizer Machine Learning Stack in Morocco

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition

Making COMET Comparable Across Scripts: Diagnosis and Correction of Tokeniser-Induced Script Bias in Indic MT Evaluation

Impact of Data Normalization on Deep Neural Network for Time Series Forecasting

Real-World Robot Applications of Foundation Models: A Review

VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

Large Language Models in Cybersecurity: State-of-the-Art

Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach

G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System

Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization

XFake: Explainable Fake News Detector with Visualizations

A Model Compression Method with Matrix Product Operators for Speech Enhancement

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval

Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems

Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers

Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation

Adversarial Perturbations Against Real-Time Video Classification Systems

DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks

MetaKV: Adaptive KV Cache Compression for Constrained LLM Inference