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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721 to 780 of 20,221

WebQA: Multihop and Multimodal QA
Yingshan Chang, Mridu Narang, Hisami Suzuki +3
cs.CLcs.AIcs.CVarXiv:2109.00590v42021
R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration
Dhruv Dixit, Paritosh Pandey
cs.CLcs.LGarXiv:2609.11955v12026
InRTL: Effective Intra-Inter Interaction Learning for Relational Tables
Weichen Li, Ken Zhong, Zheng Wang +2
cs.LGcs.AIarXiv:2609.12712v12026
Look Before You Leap: Pre-Action Verification for LLM Agents
Asaad Althoubi
cs.LGcs.MAarXiv:2609.11957v12026
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Michael Wornow, Rahul Thapa, Ethan Steinberg +2
cs.LGcs.AIcs.CLarXiv:2307.02028v32023
SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning
Zebin Chen, Fei Xing, Yang Chen +4
cs.LGcs.AImath.OCarXiv:2609.12599v12026
MPCFormer: fast, performant and private Transformer inference with MPC
Dacheng Li, Rulin Shao, Hongyi Wang +3
cs.LGcs.CRarXiv:2211.01452v22022
MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects
Chenhao Wu, Dingjie Peng, Satoshi Funabashi +5
cs.LGarXiv:2609.17194v12026
From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1
cs.CVcs.LGeess.IVarXiv:2609.17138v12026
On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
Julien Bastian, Benjamin Leblanc, Pascal Germain +4
stat.MLcs.LGarXiv:2609.16803v12026
Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence
Tao Yang, Xuhui Lin, Kunyao Li +1
cs.LGcs.CLarXiv:2609.11959v12026
Decoding Mixture Perception through Computational Modeling of Component Interactions
Fei Wang, Xiaoya Xie, Junfei Liu +6
cs.LGarXiv:2609.11958v12026
Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants
Tesfay Zemuy Gebrekidan, Hadush Hailu Gebrerufael
cs.LGcs.AIarXiv:2609.13194v12026
Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching
Boldsaikhan Bolorkhuu, Tsogtgerel Gantumur
math.OCcs.LGarXiv:2609.11962v12026
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan +1
cs.CVcs.LGeess.IVarXiv:2102.09351v32021
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo +2
cs.LGarXiv:2203.15737v32022
On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
William L. Tong, Aryo Lotfi, Emmanuel Abbe +6
cs.LGcs.AIarXiv:2609.16540v12026
Sampling using $SU(N)$ gauge equivariant flows
Denis Boyda, Gurtej Kanwar, Sébastien Racanière +5
hep-latcs.LGstat.MLarXiv:2008.05456v22020
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai, Ji Lin, Yujun Lin +5
cs.LGcs.CLcs.CVarXiv:2204.11786v12022
Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation
Ferran Bohigas-Daranas, Hamid Latif-Martínez, Eduardo Prieto-Araujo +2
eess.SYcs.LGarXiv:2609.16738v12026
Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation
Hojin Lee, Yunho Lee, Daniel A Duecker +1
cs.ROcs.AIcs.LGarXiv:2609.17141v12026
A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS
Philipp Berthold, Bianca Forkel, Mirko Maehlisch
cs.ROcs.AIcs.CVarXiv:2609.12871v12026
The Router Within: Eliciting Native Skill Routing from a Frozen LLM
Ruishuo Chen, Xun Wang, Yu Chen +2
cs.LGcs.AIcs.CLarXiv:2609.15982v12026
RLP: Reinforcement as a Pretraining Objective
Ali Hatamizadeh, Syeda Nahida Akter, Shrimai Prabhumoye +5
cs.LGcs.AIcs.CLarXiv:2510.01265v22025
ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers
Jim Berend, Reduan Achtibat, Daniel Schäffer +4
cs.CVcs.AIcs.LGarXiv:2609.17152v12026
LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
Mantek Singh, Jeshwanth Challagundla, Prateek Karnal +3
cs.LGcs.AIarXiv:2609.16155v12026
Decoder Design Matters for ECG Delineation
Joseph Scharpf, William Han, Chaojing Duan +3
cs.LGcs.AIarXiv:2609.16489v12026
High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics
Diana A. Bistrian
cs.LGmath.NAarXiv:2609.17101v12026
Federated stochastic bilevel optimization with fully first-order gradients
Yihan Zhang, Rohit Dhaipule, Chiu C Tan +2
cs.LGarXiv:2609.16350v12026
Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
Akira Tamamori
cs.LGcs.NEarXiv:2609.16827v12026
GraphText: Graph Reasoning in Text Space
Jianan Zhao, Le Zhuo, Yikang Shen +5
cs.CLcs.LGarXiv:2310.01089v12023
gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo +11
cs.CVcs.AIcs.LGarXiv:2104.02646v12021
Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
cs.AIcs.CVcs.HCarXiv:2609.17064v12026
Contrastive Triple Extraction with Generative Transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng +4
cs.CLcs.AIcs.DBarXiv:2009.06207v82020
TEMPO: Learning Temporal Context for Dynamic Robot Manipulation
Zhenyang Feng, Jimin Heo, Erik B. Sudderth +1
cs.ROcs.CVcs.LGarXiv:2609.16864v12026
Near-Optimal Nonconvex Matrix Completion
Jian-Feng Cai, Xiliang Lu, Juntao You
math.NAcs.LGarXiv:2609.17048v12026
How to estimate carbon footprint when training deep learning models? A guide and review
Lucia Bouza Heguerte, Aurélie Bugeau, Loïc Lannelongue
cs.LGcs.AIcs.CYarXiv:2306.08323v22023
Latent Undertow: How Ordinary Typos Break Probes
Elad David, Max Fomin, Amit LeVi
cs.CLcs.LGarXiv:2609.15994v12026
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Daniel Schwabe, Katinka Becker, Martin Seyferth +2
cs.LGcs.AIarXiv:2402.13635v12024
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Gilad Cohen, Guillermo Sapiro, Raja Giryes
cs.LGstat.MLarXiv:1909.06872v22019
UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
Zhengxi Lu, Jiabo Ye, Fei Tang +8
cs.LGcs.AIarXiv:2509.11543v22025
Self-Improving LLM Agents at Test-Time
Emre Can Acikgoz, Cheng Qian, Heng Ji +2
cs.LGcs.AIcs.CLarXiv:2510.07841v12025
An Empirical Study of Language CNN for Image Captioning
Jiuxiang Gu, Gang Wang, Jianfei Cai +1
cs.CVcs.LGarXiv:1612.07086v32016
InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
Weilin Zhao, Zihan Zhou, Zhou Su +10
cs.CLcs.AIcs.LGarXiv:2509.24663v12025
FrontierCS: Evolving Challenges for Evolving Intelligence
Qiuyang Mang, Wenhao Chai, Zhifei Li +48
cs.LGcs.SEarXiv:2512.15699v12025
Repurposing Deep Limit Order Book Forecasting for Scenario-Conditioned Market Impact Modeling
Eljas Linna, Kestutis Baltakys, Derrick Manoharan +2
cs.LGcs.AIarXiv:2609.16930v12026
A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator
Qineng Wang, Zhendong Guo, Liming Song +1
cs.LGphysics.comp-phphysics.flu-dynarXiv:2609.16066v12026
Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1
cs.SEcs.LGarXiv:2609.17338v12026
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery
Christina Corbane, Vasileios Syrris, Filip Sabo +5
eess.IVcs.CVcs.LGarXiv:2006.03267v22020
Generalization Can Emerge in Tabular Foundation Models From a Single Table
Junwei Ma, Nour Shaheen, Alex Labach +4
cs.LGcs.AIarXiv:2511.09665v12025
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
cs.LGcs.CEcs.PFarXiv:1911.09512v12019
Word meaning in minds and machines
Brenden M. Lake, Gregory L. Murphy
cs.CLcs.AIcs.LGarXiv:2008.01766v32020
A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro +4
cs.LGeess.SParXiv:2609.16744v12026
Towards Optimizing SQL Generation via LLM Routing
Mohammadhossein Malekpour, Nour Shaheen, Foutse Khomh +1
cs.DBcs.AIcs.LGarXiv:2411.04319v12024
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Pedro A. Szekely +1
cs.CLcs.AIcs.LGarXiv:2103.13136v12021
Seeing What Matters: Visual Cue Guided Video Planning for Generalizable Robot Navigation
Hojin Lee, Sizhe Lester Li, Maximilian Hilger +4
cs.ROcs.AIcs.CVarXiv:2609.16737v12026
Conflict-Aware Client Selection for Multi-Server Federated Learning
Mingwei Hong, Zheng Lin, Zehang Lin +7
cs.LGcs.NIarXiv:2602.02458v12026
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Kexin Huang, Cao Xiao, Lucas Glass +2
q-bio.MNcs.LGarXiv:2004.14949v22020
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian +2
cs.LGstat.MLarXiv:1810.11730v32018
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli +1
cs.LGstat.MLarXiv:1711.06104v42017

Machine Learning

WebQA: Multihop and Multimodal QA

R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration

InRTL: Effective Intra-Inter Interaction Learning for Relational Tables

Look Before You Leap: Pre-Action Verification for LLM Agents

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models

SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning

MPCFormer: fast, performant and private Transformer inference with MPC

MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects

From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation

On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm

Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence

Decoding Mixture Perception through Computational Modeling of Component Interactions

Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants

Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching

A Comprehensive Review of Deep Learning-based Single Image Super-resolution

Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version

On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models

Sampling using $SU(N)$ gauge equivariant flows

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation

Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation

A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS

The Router Within: Eliciting Native Skill Routing from a Frozen LLM

RLP: Reinforcement as a Pretraining Objective

ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers

LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

Decoder Design Matters for ECG Delineation

High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

Federated stochastic bilevel optimization with fully first-order gradients

Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories

GraphText: Graph Reasoning in Text Space

gradSim: Differentiable simulation for system identification and visuomotor control

Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior

Contrastive Triple Extraction with Generative Transformer

TEMPO: Learning Temporal Context for Dynamic Robot Manipulation

Near-Optimal Nonconvex Matrix Completion

How to estimate carbon footprint when training deep learning models? A guide and review

Latent Undertow: How Ordinary Typos Break Probes

The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning

Self-Improving LLM Agents at Test-Time

An Empirical Study of Language CNN for Image Captioning

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation

FrontierCS: Evolving Challenges for Evolving Intelligence

Repurposing Deep Limit Order Book Forecasting for Scenario-Conditioned Market Impact Modeling

A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator

Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning

Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery

Generalization Can Emerge in Tabular Foundation Models From a Single Table

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM

Word meaning in minds and machines

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids

Towards Optimizing SQL Generation via LLM Routing

Representing Numbers in NLP: a Survey and a Vision

Seeing What Matters: Visual Cue Guided Video Planning for Generalizable Robot Navigation

Conflict-Aware Client Selection for Multi-Server Federated Learning

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Towards better understanding of gradient-based attribution methods for Deep Neural Networks