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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25,681 to 25,740 of 33,132

Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel, Jan Macdonald, Maximilian März
cs.LGcs.NAmath.NAarXiv:2011.04268v12020
Dual-QK: Sharp Queries and Flat Keys for Prunable 2-bit KV Caches
Sunjoo Whang, Jungjun Oh, Minsung Kim +5
cs.LGarXiv:2610.09827v12026
$\pi_\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
Kang Chen, Zhihao Liu, Tonghe Zhang +11
cs.LGarXiv:2510.25889v32025
Tilted Schr\"odinger Bridge Matching
Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
cs.LGarXiv:2609.34642v12026
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur +4
cs.LGcs.AIcs.CLarXiv:2503.07572v12025
Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics
Igor Itkin
cs.LGcs.AIcs.CLarXiv:2606.12476v32026
Auxiliary Tasks in Multi-task Learning
Lukas Liebel, Marco Körner
cs.CVcs.LGarXiv:1805.06334v22018
PMOPD: Task Ordering, Cycling, and Parameter-Update Subspace Protection in Multi-Teacher On-Policy Distillation
Youzhi Liu, Ruobing Zheng, Boyuan Tong +5
cs.LGarXiv:2609.34605v12026
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks
George Philipp, Jaime G. Carbonell
cs.LGcs.CVstat.MLarXiv:1806.00179v22018
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
Xander Davies, Eric Winsor, Alexandra Souly +4
cs.LGcs.CRarXiv:2502.14828v22025
Compute Time Scaling with Recursive Models for Combinatorial Optimization
Zhengxi Zhang, Paul Swoboda
cs.LGarXiv:2609.34585v12026
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1605.03661v32016
DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification
Yuhang Wang, Lingyao Li, Hao Zhou
cs.LGarXiv:2607.23822v12026
Graph Kernels: State-of-the-Art and Future Challenges
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López +2
cs.LGstat.MLarXiv:2011.03854v22020
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
Chenrui Fan, Yijun Liang, Shweta Bhardwaj +3
cs.CVcs.AIcs.LGarXiv:2512.11995v22025
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma, Liqin Zhao, Guan Huang +4
stat.MLcs.IRcs.LGarXiv:1804.07931v22018
Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling
Weikang Qian, Yixin Wen, Chugang Yi +3
cs.LGphysics.ao-pharXiv:2609.28749v12026
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts +14
cs.CLcs.AIcs.LGarXiv:2502.14499v12025
SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
Ayush Zenith, Arnold Zumbrun, Neel Raut +1
cs.CVcs.AIcs.ITarXiv:2510.06596v22025
BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Mingyang Yao, Ke Chen, Shlomo Dubnov +1
cs.SDcs.LGeess.ASarXiv:2510.06528v22025
Q-learning Penalized Transformer for Safe Offline Reinforcement Learning
Shengchao Hu, Peng Wang, Jifeng Hu +5
cs.LGarXiv:2609.34426v22026
A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing
Xiaoxing Ren, Thomas Parisini, Andreas A. Malikopoulos
math.OCcs.LGeess.SYarXiv:2609.26783v12026
TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
Adam Filipek
cs.CLcs.LGarXiv:2510.05485v12025
AIDE: AI-Driven Exploration in the Space of Code
Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth +4
cs.AIcs.LGarXiv:2502.13138v12025
LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
Yang Xiao, Gen Li, Kaiyuan Deng +5
cs.CVcs.LGarXiv:2510.05367v12025
Just-In-Time Agent Memory with Runtime Agentic Research
Bingyu Yan, Chaofan Li, Hongjin Qian +3
cs.CLcs.AIcs.IRarXiv:2609.34385v12026
PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies
Arhan Jain, Mingtong Zhang, Kanav Arora +11
cs.ROcs.LGarXiv:2512.16881v22025
Federated Neural Collaborative Filtering
Vasileios Perifanis, Pavlos S. Efraimidis
cs.IRcs.CRcs.LGarXiv:2106.04405v22021
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Zhongzhu Zhou, Donglin Zhuang, Jisen Li +4
cs.LGcs.AIcs.DCarXiv:2605.17757v12026
Summaries:한국어
SquidAgent: Parallelize Wisely, Coordinate Efficiently
Yexiong Lin, Shanshan Ye, Yu Yao +3
cs.AIcs.CLcs.LGarXiv:2610.08647v12026
ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach
Kaichuang Yang, Håvard Rue, Jakob Zeitler
stat.MLcs.LGarXiv:2610.12213v12026
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao, Akari Asai, Shannon Zejiang Shen +18
cs.CLcs.AIcs.LGarXiv:2511.19399v32025
Value-Aware Stochastic KV Cache Eviction for Reasoning Models
Ting-Yun Chang, Harvey Yiyun Fu, Deqing Fu +3
cs.LGcs.CLarXiv:2606.03928v12026
PromptTTS: Controllable Text-to-Speech with Text Descriptions
Zhifang Guo, Yichong Leng, Yihan Wu +2
eess.AScs.CLcs.LGarXiv:2211.12171v12022
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
Zhepei Wei, Xinyu Zhu, Wei-Lin Chen +3
cs.LGcs.CLarXiv:2605.21468v12026
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao, Lacra Pavel
math.OCcs.LGarXiv:1704.00805v42017
AnyBottle: A Recipe to Only Keep the Concepts You Really Need
Wolfgang Stammer, Sukrut Rao, Hevra Petekkaya +2
cs.AIcs.LGarXiv:2610.08552v12026
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu +2
cs.LGcs.CLarXiv:2502.09597v12025
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
June Yong Yang, Byeongwook Kim, Jeongin Bae +5
cs.LGcs.AIarXiv:2402.18096v12024
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova +8
eess.IVcs.CVcs.LGarXiv:2312.08255v42023
CasEm: A Cascade Architecture for Long-Horizon Neural Emulation
Zhaoyi Li, Jingtao Ding, Shihua Li
cs.LGarXiv:2609.34246v12026
Tabular Transformers for Modeling Multivariate Time Series
Inkit Padhi, Yair Schiff, Igor Melnyk +6
cs.LGcs.AIarXiv:2011.01843v22020
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios
Shilian Zheng, Shichuan Chen, Peihan Qi +2
eess.SPcs.LGarXiv:1909.06020v12019
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
Matthias Humt, Jongseok Lee, Rudolph Triebel
cs.ROcs.CVcs.LGarXiv:2010.16141v12020
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang +5
cs.CVcs.AIcs.LGarXiv:2106.00666v32021
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani +1
cs.CVcs.AIcs.LGarXiv:1905.01296v32019
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGmath.OCstat.MLarXiv:2003.00307v22020
Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders
Giovanni Marraffini, Victoria Shevchenko, Carlo Alberto Barbano +1
cs.AIcs.LGq-bio.NCarXiv:2609.37642v12026
Constant Individual Regret in General Games
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
cs.LGcs.GTarXiv:2608.31166v12026
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai +2
cs.CVcs.LGcs.ROarXiv:1905.02693v42019
Graph Foundation Models for Recommendation: A Comprehensive Survey
Bin Wu, Yihang Wang, Yuanhao Zeng +7
cs.IRcs.AIcs.LGarXiv:2502.08346v42025
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
Dongling Xiao, Yu-Kun Li, Han Zhang +4
cs.CLcs.LGarXiv:2010.12148v22020
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Grégoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato +1
cs.CLcs.IRcs.LGarXiv:1412.5335v72014
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
Bjarne Grimstad, Henrik Andersson
math.OCcs.LGarXiv:1907.03140v32019
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
cs.LGmath.OCstat.MLarXiv:1704.00708v12017
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara, Wen Sun
cs.LGcs.AIstat.MLarXiv:2107.06226v42021
Pretraining with hierarchical memories: separating long-tail and common knowledge
Hadi Pouransari, David Grangier, C Thomas +2
cs.CLcs.AIcs.LGarXiv:2510.02375v32025
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed S. Akhtar, Arihant Gupta, Avijit Vajpayee +2
cs.CLcs.LGarXiv:2609.34138v12026
ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning
Yihang Chen, Yuanhao Ban, Cho-Jui Hsieh
cs.LGcs.AIarXiv:2609.35433v12026

Machine Learning

Solving Inverse Problems With Deep Neural Networks -- Robustness Included?

Dual-QK: Sharp Queries and Flat Keys for Prunable 2-bit KV Caches

$\pi_\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

Tilted Schr\"odinger Bridge Matching

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics

Auxiliary Tasks in Multi-task Learning

PMOPD: Task Ordering, Cycling, and Parameter-Update Subspace Protection in Multi-Teacher On-Policy Distillation

The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks

Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs

Compute Time Scaling with Recursive Models for Combinatorial Optimization

Learning Representations for Counterfactual Inference

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification

Graph Kernels: State-of-the-Art and Future Challenges

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music

Q-learning Penalized Transformer for Safe Offline Reinforcement Learning

A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing

TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation

AIDE: AI-Driven Exploration in the Space of Code

LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation

Just-In-Time Agent Memory with Runtime Agentic Research

PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies

Federated Neural Collaborative Filtering

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization

SquidAgent: Parallelize Wisely, Coordinate Efficiently

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Value-Aware Stochastic KV Cache Eviction for Reasoning Models

PromptTTS: Controllable Text-to-Speech with Text Descriptions

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories

On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

AnyBottle: A Recipe to Only Keep the Concepts You Really Need

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

CasEm: A Cascade Architecture for Long-Horizon Neural Emulation

Tabular Transformers for Modeling Multivariate Time Series

Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios

Bayesian Optimization Meets Laplace Approximation for Robotic Introspection

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders

Constant Individual Regret in General Games

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning

3D Packing for Self-Supervised Monocular Depth Estimation

Graph Foundation Models for Recommendation: A Comprehensive Survey

ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs

No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis

Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage

Pretraining with hierarchical memories: separating long-tail and common knowledge

Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems

ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning