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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601 to 660 of 20,193

FairSight: Visual Analytics for Fairness in Decision Making
Yongsu Ahn, Yu-Ru Lin
cs.HCcs.CYcs.LGarXiv:1908.00176v22019
Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning
Everest Yang, Skye Thompson, George D. Konidaris
cs.ROcs.LGarXiv:2609.18167v12026
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
Xi Guan, Guang Yang, Jianming Ye +4
cs.AIcs.CVcs.LGarXiv:2107.12046v12021
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
cs.DCcs.LGarXiv:2110.12415v12021
Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection
Lijie Zheng, Ji He, Alessandro Brighente +2
cs.CRcs.LGarXiv:2609.16462v12026
CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework
Yunxiang Fu, Meng Lou, Zicheng Liao +1
cs.LGcs.CVarXiv:2609.17026v12026
Deep learning and the Schrödinger equation
Kyle Mills, Michael Spanner, Isaac Tamblyn
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:1702.01361v32017
The Geometry of Reasoning: Flowing Logics in Representation Space
Yufa Zhou, Yixiao Wang, Xunjian Yin +2
cs.AIcs.CLcs.LGarXiv:2510.09782v22025
Beyond Static RAG: An Adaptive, Tri-Metric Routing Framework for Efficient Long-Context Inference on Commodity GPUs
Saipraveen Vabbilisetty, Ajay Kumar Boddepalli, Deep Narayan Mishra +3
cs.LGcs.IRarXiv:2609.17564v12026
Where Grokking Happens: Distributed Utility and Fourier Recoding Without a Module Switch
Dekun Yang
cs.LGcs.AIarXiv:2609.17571v12026
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng, Yao Zou, Sheng Xiang +1
q-fin.STcs.LGarXiv:2411.05815v22024
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
A Comprehensive Review of Generative Physical Artificial Intelligence
Satyam Gaba, Krutiksinh Rana, Siva Sai +2
cs.ROcs.AIcs.CLarXiv:2609.18111v12026
Fundamental Dynamical Units for Physics-Informed Structural Inference from Perturbation Time-Series in Networked Systems
Nima Nouri
cs.LGphysics.comp-pharXiv:2609.11934v12026
Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators
Michael Chin
cs.LGarXiv:2609.11935v12026
Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.LGarXiv:2609.17067v12026
Beyond Measurement Metrics: A Human-Centered Framework for Semantic Validation of Network Traffic Classification
Igor Cherepanov, David Sessler, Alex Ulmer +2
cs.NIcs.HCcs.LGarXiv:2609.17014v12026
One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training
Erik Schultheis, Maximilian Kleinegger, Dan Alistarh
cs.PFcs.DCcs.LGarXiv:2609.11936v12026
Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes
Manglesh Kumar Pandey, Sumit Kumar Banshal
cs.CVcs.LGarXiv:2609.16859v12026
TAME: Token Attribution and Masking for Emergent misalignment
Md Rayhanul Masud, Md Rizwan Parvez
cs.LGcs.AIcs.CLarXiv:2609.16754v12026
Single Document Extractive Summarization using Domination in Hypergraph
Aamir Miyajiwala, Aabha Pingle, Sheetal Sonawane +1
cs.CLcs.LGarXiv:2609.15993v12026
Optimization over covariance matrices with a parameterized metric
Yibang Li, Bamdev Mishra, Pratik Jawanpuria +1
math.OCcs.LGarXiv:2609.17089v12026
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim de Haan, Maurice Weiler, Taco Cohen +1
cs.LGcs.CVstat.MLarXiv:2003.05425v32020
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
Akide Liu, Jing Liu, Zizheng Pan +3
cs.CLcs.AIcs.LGarXiv:2405.14366v22024
Crash Narrative-Guided Countermeasure Recommendation Using Large Language Models: A Retrieval-Augmented Generation Framework for Intersection Safety
Abu Saif Md Nasim Uddin, Mohamed Abdel-Aty, Zubayer Islam +2
cs.CLcs.LGarXiv:2609.15997v12026
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
Yifei Wang, Dizhan Xue, Shengjie Zhang +1
cs.CLcs.AIcs.CRarXiv:2406.03007v12024
The Battery Price of edge AI: A study of the Environmental Impact of LLM Inference on Mobile Devices
Édouard Guégain, Tristan Coignion
cs.PFcs.LGarXiv:2609.11940v12026
Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics
Zongmin Liu
cs.LGcs.NEstat.MLarXiv:2609.12994v12026
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis, Thomas Biasi, Steffen Schneider +4
cs.CVcs.LGarXiv:1909.11229v22019
A Full Adam Theorem for Spectral Heavy-Tail Onset
Zongmin Liu
cs.LGmath.PRstat.MLarXiv:2609.12996v12026
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws
Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
astro-ph.IMcs.LGphysics.comp-pharXiv:2303.03192v22023
Knowledge as Orbit: Finite Collections as Phases of an Exactly Periodic Latent Generator
Siddharth Pal, Viktoria Rojkova
cs.LGcs.CVeess.IVarXiv:2609.17417v12026
Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control
Mingyang Chen, Shengdong Chen, Xiaoxiao Fu +13
cs.CVcs.LGarXiv:2609.17909v12026
What's In My Big Data?
Yanai Elazar, Akshita Bhagia, Ian Magnusson +10
cs.CLcs.LGarXiv:2310.20707v22023
Detoxifying Language Models Risks Marginalizing Minority Voices
Albert Xu, Eshaan Pathak, Eric Wallace +3
cs.CLcs.LGarXiv:2104.06390v12021
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Nikhil Prakash, Tamar Rott Shaham, Tal Haklay +2
cs.CLcs.LGarXiv:2402.14811v12024
PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale
Yu Hao, Yuchun Li, Peimeng Sui +5
cs.IRcs.LGarXiv:2609.11943v12026
Deep Multimodal Learning with Missing Modality: A Survey
Renjie Wu, Hu Wang, Hsiang-Ting Chen +1
cs.CVcs.AIcs.LGarXiv:2409.07825v42024
Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening
Yizhuo Li, Jianhao Yan, Yun Luo +9
cs.LGcs.AIarXiv:2609.18708v12026
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran +1
cs.LGcs.AIcs.ROarXiv:2012.11547v12020
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Yizhen Zheng, Shirui Pan, Vincent Cs Lee +2
cs.LGcs.AIarXiv:2206.01535v22022
Memorisation bias in medical AI
Moritz A. Knolle, Martin J. Menten, Laurin Lux +5
cs.LGcs.CYarXiv:2609.17223v12026
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang, Yuanhang Yang, Yong Dai +2
cs.LGcs.CLarXiv:2212.10025v22022
Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Matin Mortaheb, Homa Esfahanizadeh, Jinfeng Du +1
eess.IVcs.ITcs.LGarXiv:2609.16279v12026
Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time
Jun Zhou, Nathan Elgar, Tawnee Benedetto +5
cs.DCcs.LGarXiv:2609.11946v12026
MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar
Tianyue Zheng, Zhe Chen, Shujie Zhang +2
cs.LGeess.SParXiv:2111.08195v12021
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao +3
cs.CVcs.AIcs.GRarXiv:2309.14859v22023
A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
Mingzhi Chen, Yiyu Gui, Guibo Luo +1
cs.LGcs.AIarXiv:2609.15740v12026
Sequential Diffusion Language Models
Yangzhou Liu, Yue Cao, Hao Li +13
cs.CLcs.LGarXiv:2509.24007v12025
A Zeroth-Order Paradigm for LLM Preference Alignment
Peter Chen, Xi Chen, Wotao Yin +1
cs.CLcs.AIcs.LGarXiv:2609.19144v12026
From Google Maps to a Fine-Grained Catalog of Street trees
Steve Branson, Jan Dirk Wegner, David Hall +3
cs.CVcs.LGarXiv:1910.02675v12019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Rieck, Matteo Togninalli, Christian Bock +4
cs.LGmath.ATstat.MLarXiv:1812.09764v32018
Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving
Jörg Gamerdinger, Victor Schwarzenberger, Philipp Schmid +2
cs.ROcs.CVcs.CYarXiv:2609.11947v12026
LLMs or Naive Bayes? Old Gems or New Ways
Mohammad Firas Sada, Dmitry Mishin, John Graham +3
cs.LGcs.AIcs.CLarXiv:2609.13185v12026
Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge
Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre +2
cs.ARcs.LGarXiv:2609.16742v12026
Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
Hongyao Tang, Yi Ma, Pengyi Li +1
cs.AIcs.LGarXiv:2609.13406v12026
The Remarkable Robustness of LLMs: Stages of Inference?
Vedang Lad, Jin Hwa Lee, Wes Gurnee +1
cs.LGcs.AIcs.CLarXiv:2406.19384v32024
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer, Simon A. A. Kohl, Jens Petersen +2
cs.LGstat.MLarXiv:1812.05941v12018
Agora: Git as Shared Memory for Collective AutoResearch
Yifan Zhang, Yunheng Zou, Shaokun Zhang +5
cs.LGcs.AIcs.CLarXiv:2609.18094v12026
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
Le-Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
cs.LGstat.MLarXiv:1912.00941v12019

Machine Learning

FairSight: Visual Analytics for Fairness in Decision Making

Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework

A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework

Deep learning and the Schrödinger equation

The Geometry of Reasoning: Flowing Logics in Representation Space

Beyond Static RAG: An Adaptive, Tri-Metric Routing Framework for Efficient Long-Context Inference on Commodity GPUs

Where Grokking Happens: Distributed Utility and Fourier Recoding Without a Module Switch

Graph Neural Networks for Financial Fraud Detection: A Review

GenRec: Large Language Model for Generative Recommendation

A Comprehensive Review of Generative Physical Artificial Intelligence

Fundamental Dynamical Units for Physics-Informed Structural Inference from Perturbation Time-Series in Networked Systems

Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators

Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery

Beyond Measurement Metrics: A Human-Centered Framework for Semantic Validation of Network Traffic Classification

One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training

Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes

TAME: Token Attribution and Masking for Emergent misalignment

Single Document Extractive Summarization using Domination in Hypergraph

Optimization over covariance matrices with a parameterized metric

Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Crash Narrative-Guided Countermeasure Recommendation Using Large Language Models: A Retrieval-Augmented Generation Framework for Intersection Safety

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

The Battery Price of edge AI: A study of the Environmental Impact of LLM Inference on Mobile Devices

Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

Pretraining boosts out-of-domain robustness for pose estimation

A Full Adam Theorem for Spectral Heavy-Tail Onset

Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

Knowledge as Orbit: Finite Collections as Phases of an Exactly Periodic Latent Generator

Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control

What's In My Big Data?

Detoxifying Language Models Risks Marginalizing Minority Voices

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale

Deep Multimodal Learning with Missing Modality: A Survey

Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening

Offline Reinforcement Learning from Images with Latent Space Models

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

Memorisation bias in medical AI

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission

Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

Sequential Diffusion Language Models

A Zeroth-Order Paradigm for LLM Preference Alignment

From Google Maps to a Fine-Grained Catalog of Street trees

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving

LLMs or Naive Bayes? Old Gems or New Ways

Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge

Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement

The Remarkable Robustness of LLMs: Stages of Inference?

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

Agora: Git as Shared Memory for Collective AutoResearch

FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation