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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4,201 to 4,260 of 20,308

From 80x to 385x: A Best-Matching-Unit Search at the L2 Roof, Measured Against a Symmetrically Tuned Baseline
Andrew James Amos
cs.LGarXiv:2609.05138v12026
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
stat.MLcs.AIcs.CLarXiv:1705.08142v32017
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
Ji Guo, Wenbo Jiang, Yansong Lin +6
cs.CRcs.LGarXiv:2601.04266v22026
Single-Query Black-Box Calibration Auditing via Logit Bias
Roman Plaud, Antoine Saillenfest, Matthieu Labeau +2
cs.LGarXiv:2609.05125v12026
Quantum noise protects quantum classifiers against adversaries
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu +2
quant-phcs.LGarXiv:2003.09416v12020
Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers
Opegbemi Matthias Busoye, Tolulope Matthew Busoye, Eghonghon-aye Eigbe
cs.LGarXiv:2609.05081v12026
GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
Xudong Wang, Chris Ding, Tongxin Li +1
cs.LGarXiv:2609.05253v12026
Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials
Bumju Kwak, Jeonghee Jo
cs.LGphysics.chem-pharXiv:2609.05233v12026
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
cs.CLcs.LGcs.SDarXiv:1707.04879v12017
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov, Rasul Karimov, Serge Kozlukov
cs.CGcs.LGarXiv:2005.02819v52020
Dimension-Adaptive Batched Lipschitz Narrowing Without Knowing the Zooming Dimension
Yasong Feng
cs.LGarXiv:2609.05214v12026
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang, Haohan Wang, Diyi Yang
cs.CLcs.LGarXiv:2112.08313v22021
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2
stat.MLcs.CLcs.LGarXiv:2306.00802v22023
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2005.10190v42020
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Ziru Chen, Shijie Chen, Yuting Ning +17
cs.CLcs.AIcs.LGarXiv:2410.05080v32024
Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy
Margherita Mele, Andrea Castagna, Roberto Menichetti +2
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2609.05126v12026
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
Dingzhi Yu, Hongyi Tao, Yuanyu Wan +2
cs.LGcs.CLmath.OCarXiv:2602.07425v22026
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid, Manfred K. Warmuth
cs.LGstat.MLarXiv:1910.00204v22019
A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edit
Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1
cs.LGarXiv:2609.05113v12026
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Tianle Xia, Ming Xu, Lingxiang Hu +7
cs.CLcs.IRcs.LGarXiv:2602.22576v12026
AgentSM: Semantic Memory for Agentic Text-to-SQL
Asim Biswal, Chuan Lei, Xiao Qin +3
cs.AIcs.DBcs.LGarXiv:2601.15709v12026
Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression
Juncheng Zhou, Jiaxi Lu, Weijing Zeng +3
cs.LGarXiv:2609.04995v12026
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
Zijian Hu, Zhengyu Yang, Xuefeng Hu +1
cs.CVcs.LGarXiv:2103.16725v22021
From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
Waleed Khalid, Dmitry Ignatov, Radu Timofte
cs.LGcs.CVarXiv:2601.02997v22026
Fractal basins trap latent reasoning
Jeffrey Lai, Anthony Bao, John Quinn +1
cs.LGarXiv:2609.04963v12026
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun, Seoyoon Kim, Junhyun Lee +2
cs.LGcs.AIarXiv:2206.04216v12022
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Sören Becker, Johanna Vielhaben, Marcel Ackermann +3
cs.SDcs.AIcs.LGarXiv:1807.03418v32018
Federated Unlearning with Knowledge Distillation
Chen Wu, Sencun Zhu, Prasenjit Mitra
cs.LGcs.CRarXiv:2201.09441v12022
From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy
Petro Shulzhenko, Gabriele Spadaro, Enzo Tartaglione
cs.LGarXiv:2609.04881v12026
KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU
Di Chai, Leye Wang, Zeshen Su +2
cs.LGarXiv:2609.04852v12026
Solution-space heterogeneity shapes federated learning dynamics across partial differential equations
Ping Luo, Jiahuan Wang, Ziqing Wen +2
cs.LGcs.DCarXiv:2609.05012v12026
Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
Kazuki Yano, Shun Kiyono, Sosuke Kobayashi +2
cs.CLcs.LGarXiv:2603.16127v12026
Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks
Abdessamed Qchohi, Jessica Moysen Cortes, Matteo Zecchin
cs.LGcs.NIeess.SParXiv:2609.05073v12026
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang, Xiaoman Pan, Feng Luo +4
cs.LGcs.AIcs.CLarXiv:2402.10207v62024
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
Huanyu Li, Kun Lei, Sheng Zang +5
cs.ROcs.AIcs.LGarXiv:2601.07821v12026
Physics-Aware Random Walk Fingerprints for Scalable Power Grid Graph Classification
Adnan Anwar
cs.LGeess.SYarXiv:2609.04943v12026
Fast Gauss Sums via Flash Attention
Nicolaj Rux, Sebastian Neumayer
cs.LGmath.NAarXiv:2609.04910v12026
Adaptive Milestone Reward for GUI Agents
Congmin Zheng, Xiaoyun Mo, Xinbei Ma +10
cs.LGcs.AIcs.CLarXiv:2602.11524v12026
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Shenggui Li, Chao Wang, Yikai Zhu +14
cs.LGcs.AIcs.CLarXiv:2603.18567v12026
ML-Decoder: Scalable and Versatile Classification Head
Tal Ridnik, Gilad Sharir, Avi Ben-Cohen +2
cs.CVcs.LGarXiv:2111.12933v22021
When Genomic Masking Priors Fail to Transfer: Strong Variant Prediction, Weak Functional Generation
Susu Hu, Preetam Gattogi, Jens Lehmann +3
cs.LGarXiv:2609.04861v12026
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
Jean Kossaifi, Nikola Kovachki, Morteza Mardani +15
cs.LGcs.AIarXiv:2601.18111v12026
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov +2
cs.CVcs.LGarXiv:2203.10833v22022
PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning
Ruizhe Huang, Chengran Li, Xiaochuan Shi
cs.LGarXiv:2609.04832v12026
Semi-parametric Image Synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia +1
cs.CVcs.AIcs.GRarXiv:1804.10992v12018
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Alexander Levine, Soheil Feizi
cs.LGstat.MLarXiv:2006.14768v22020
Locating and Steering Refusal Beyond Attention
Preethi Carmel Bosco, Gopalakrishnan Srinivasan
cs.LGarXiv:2609.04721v12026
Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression
Francis Bach
math.STcs.LGmath.OCarXiv:1303.6149v32013
Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications
Hailiang Zhao, Peng Chen, Xueyan Tang +2
cs.LGcs.DSarXiv:2609.04787v12026
A Second-order Bound with Excess Losses
Pierre Gaillard, Gilles Stoltz, Tim Van Erven
stat.MLcs.LGmath.STarXiv:1402.2044v12014
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
eess.SPcs.LGeess.SYarXiv:2205.02640v22022
Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching
Xu Zhang, Xingyu Hou, Jiacheng Cheng +2
cs.LGarXiv:2609.04830v12026
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin, Jeremy Wohlwend, Regina Barzilay +1
q-bio.BMcs.LGarXiv:2110.04624v32021
Federated Attack Campaign Detection via Contrastive Encoding of Threat Indicators in Gradient Updates
Manuel Röder, Bibin Babu, Frank-Michael Schleif
cs.LGcs.CRarXiv:2609.04815v12026
Compositionality and Generalization in Emergent Languages
Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt +2
cs.CLcs.AIcs.LGarXiv:2004.09124v12020
How Faithful Is Attribution for Sales Forecasting? A Counterfactual Study
Glib Kechyn
cs.LGarXiv:2609.04797v12026
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
Muhammad Khalifa, Zohaib Khan, Omer Tafveez +2
cs.LGcs.AIcs.CLarXiv:2603.07084v22026
A Robust Watermark-based Fingerprint Framework for GNNs Ownership Verification
Han Zhang, Yan Wang, Guanfeng Liu +3
cs.LGarXiv:2609.04772v12026
Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning
Ming Xiang, Stratis Ioannidis, Edmund Yeh +2
cs.LGcs.DCmath.OCarXiv:2609.04763v12026
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye +1
cs.CVcs.LGarXiv:2403.12030v12024

Machine Learning

From 80x to 385x: A Best-Matching-Unit Search at the L2 Roof, Measured Against a Symmetrically Tuned Baseline

Latent Multi-task Architecture Learning

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space

Single-Query Black-Box Calibration Auditing via Logit Bias

Quantum noise protects quantum classifiers against adversaries

Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers

GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection

Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials

Listening while Speaking: Speech Chain by Deep Learning

Geoopt: Riemannian Optimization in PyTorch

Dimension-Adaptive Batched Lipschitz Narrowing Without Knowing the Zooming Dimension

Measure and Improve Robustness in NLP Models: A Survey

Birth of a Transformer: A Memory Viewpoint

Feature Purification: How Adversarial Training Performs Robust Deep Learning

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy

Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise

TriMap: Large-scale Dimensionality Reduction Using Triplets

A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edit

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

AgentSM: Semantic Memory for Agentic Text-to-SQL

Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression

SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures

Fractal basins trap latent reasoning

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Federated Unlearning with Knowledge Distillation

From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy

KVMem: Virtualizing Million-Token Agent Workspaces on a Consumer GPU

Solution-space heterogeneity shapes federated learning dynamics across partial differential equations

Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning

Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation

Physics-Aware Random Walk Fingerprints for Scalable Power Grid Graph Classification

Fast Gauss Sums via Flash Attention

Adaptive Milestone Reward for GUI Agents

SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding

ML-Decoder: Scalable and Versatile Classification Head

When Genomic Masking Priors Fail to Transfer: Strong Variant Prediction, Weak Functional Generation

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

PACE: Propagation-Aware Collaborative Correction for One-Shot Personalized Federated Graph Learning

Semi-parametric Image Synthesis

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

Locating and Steering Refusal Beyond Attention

Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression

Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications

A Second-order Bound with Excess Losses

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Federated Attack Campaign Detection via Contrastive Encoding of Threat Indicators in Gradient Updates

Compositionality and Generalization in Emergent Languages

How Faithful Is Attribution for Sales Forecasting? A Counterfactual Study

Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR

A Robust Watermark-based Fingerprint Framework for GNNs Ownership Verification

Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning