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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4,081 to 4,140 of 20,308

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz +3
eess.IVcs.LGstat.MLarXiv:1907.09478v12019
RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5
cs.HCcs.AIcs.CLarXiv:2601.13235v12026
Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
Yangyang Zhong, Yanmei Gu, Zhengqing Zang +14
cs.CLcs.AIcs.LGarXiv:2601.15593v22026
SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion
Chengting Yu, Xiaobo Shu, Yadao Wang +8
cs.LGarXiv:2602.11698v22026
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han +1
cs.LGcs.CLcs.IRarXiv:2101.06983v22021
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis +1
cs.LGstat.MLarXiv:1912.02400v22019
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae, Nathan Ng, Alston Lo +2
cs.LGstat.MLarXiv:2209.05364v12022
MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
Yang Shi, Yifeng Xie, Minzhe Guo +6
cs.CVcs.AIcs.LGarXiv:2601.03331v22026
Anomaly Detection in Dynamic Graphs via Transformer
Yixin Liu, Shirui Pan, Yu Guang Wang +4
cs.LGarXiv:2106.09876v22021
Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning
Wenhao Yu, Shaohang Wei, Jiahong Liu +5
cs.LGcs.AIarXiv:2602.01745v22026
The Robust Manifold Defense: Adversarial Training using Generative Models
Ajil Jalal, Andrew Ilyas, Constantinos Daskalakis +1
cs.CVcs.CRcs.LGarXiv:1712.09196v52017
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
cs.CLcs.AIcs.LGarXiv:1604.04378v12016
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang +5
cs.CVcs.CLcs.LGarXiv:2601.05600v12026
Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It
Yaxiang Zhang, Yingru Li, Jiacai Liu +4
cs.LGcs.AIarXiv:2602.01826v12026
SpinalNet: Deep Neural Network with Gradual Input
H M Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali +4
cs.CVcs.LGcs.NEarXiv:2007.03347v32020
Unsupervised Anomaly Localization using Variational Auto-Encoders
David Zimmerer, Fabian Isensee, Jens Petersen +2
cs.LGeess.IVstat.MLarXiv:1907.02796v22019
NextMem: Towards Latent Factual Memory for LLM-based Agents
Zeyu Zhang, Rui Li, Xiaoyan Zhao +4
cs.AIcs.IRcs.LGarXiv:2603.15634v12026
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers
Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu +2
eess.SPcs.LGcs.NIarXiv:2005.05321v32020
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu, Xiang Li, Dongqi Cai +5
cs.CLcs.AIcs.LGarXiv:2409.15790v32024
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
David Yallup, Namu Kroupa, Will Handley
stat.COcs.LGstat.MLarXiv:2601.23252v22026
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
Jia Liang, Liangming Pan
cs.AIcs.LGarXiv:2602.00449v12026
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Benjamin L. Edelman, Surbhi Goel, Sham Kakade +1
cs.LGstat.MLarXiv:2110.10090v22021
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao, Hao Zhang, Xiuyuan Hu
cs.LGcs.AIarXiv:2202.03599v32022
Between Pure and Approximate Differential Privacy
Thomas Steinke, Jonathan Ullman
cs.DScs.CRcs.LGarXiv:1501.06095v12015
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani +1
cs.CVcs.LGarXiv:2110.07604v32021
Training verified learners with learned verifiers
Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth +4
cs.LGstat.MLarXiv:1805.10265v22018
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
Hang Zhao, Qijin She, Chenyang Zhu +2
cs.LGstat.MLarXiv:2006.14978v52020
Towards minimax policies for online linear optimization with bandit feedback
Sébastien Bubeck, Nicolò Cesa-Bianchi, Sham M. Kakade
cs.LGstat.MLarXiv:1202.3079v12012
From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Models
Longwei Ding, Anhao Zhao, Fanghua Ye +2
cs.LGarXiv:2601.18091v12026
BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning
Pengyang Shao, Naixin Zhai, Lei Chen +4
cs.LGarXiv:2601.09172v32026
Temporal Multimodal Fusion for Video Emotion Classification in the Wild
Valentin Vielzeuf, Stéphane Pateux, Frédéric Jurie
cs.CVcs.LGcs.MMarXiv:1709.07200v12017
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould +1
cs.LGcs.CVstat.MLarXiv:1906.06307v22019
Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
Yuling Shi, Maolin Sun, Zijun Liu +4
cs.CLcs.LGarXiv:2601.11255v12026
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Wenqi Wei, Ling Liu, Margaret Loper +4
cs.LGcs.CRstat.MLarXiv:2004.10397v22020
Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin +3
cs.CVcs.AIcs.LGarXiv:2011.13775v12020
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
cs.LGcs.DScs.ITarXiv:1802.04705v22018
Gaussian Process Prior Variational Autoencoders
Francesco Paolo Casale, Adrian V Dalca, Luca Saglietti +2
cs.LGstat.MLarXiv:1810.11738v22018
Signed Graph Attention Networks
Junjie Huang, Huawei Shen, Liang Hou +1
cs.SIcs.LGphysics.soc-pharXiv:1906.10958v32019
Quantization-Aware Collaborative Inference for Large Embodied AI Models
Zhonghao Lyu, Ming Xiao, Mikael Skoglund +2
cs.LGeess.SParXiv:2602.13052v12026
Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
Xiaoyu Tao, Mingyue Cheng, Chuang Jiang +3
cs.LGarXiv:2602.13802v12026
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Liyuan Wang, Jingyi Xie, Xingxing Zhang +3
cs.LGarXiv:2310.07234v12023
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Mahmoud Assran, Mathilde Caron, Ishan Misra +4
cs.CVcs.AIcs.LGarXiv:2104.13963v32021
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
Yibo Li, Zijie Lin, Ailin Deng +5
cs.LGcs.AIarXiv:2601.18510v32026
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal +1
cs.LGarXiv:1706.03880v22017
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou +4
cs.LGcs.AIarXiv:2602.16165v22026
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
Yongzhong Xu
cs.LGcs.AIarXiv:2602.16746v32026
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
Pengfei He, Ash Fox, Lesly Miculicich +7
cs.LGcs.CRarXiv:2602.02164v22026
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Zhijie Lin, Zhou Zhao, Zhu Zhang +2
cs.CVcs.LGcs.MMarXiv:1911.08199v32019
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
Usha Shrestha, Dmitry Ignatov, Radu Timofte
cs.CVcs.LGarXiv:2601.03808v22026
Privately Learning High-Dimensional Distributions
Gautam Kamath, Jerry Li, Vikrant Singhal +1
cs.DScs.CRcs.LGarXiv:1805.00216v32018
Tight Analyses for Non-Smooth Stochastic Gradient Descent
Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan +1
cs.LGmath.OCstat.MLarXiv:1812.05217v12018
Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary +1
cs.CLcs.LGarXiv:1906.05394v12019
Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics
Xiao Yang, Yinan Ni, Yuqi Tang +3
cs.DCcs.LGarXiv:2601.20389v12026
Improving aircraft performance using machine learning: a review
Soledad Le Clainche, Esteban Ferrer, Sam Gibson +3
cs.LGphysics.data-anphysics.flu-dynarXiv:2210.11481v12022
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou, Konstantinos Karantzalos
cs.LGcs.CVarXiv:2104.01375v22021
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Yutong Dai, Zeyuan Chen, Junnan Li +3
cs.LGcs.AIarXiv:2212.02758v22022
Does a Technique for Building Multimodal Representation Matter? -- Comparative Analysis
Maciej Pawłowski, Anna Wróblewska, Sylwia Sysko-Romańczuk
cs.LGarXiv:2206.06367v12022
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.LGcs.AIcs.CVarXiv:1904.08939v12019
HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
Zihan Fang, Zheng Lin, Senkang Hu +5
cs.LGcs.AIcs.NIarXiv:2601.00583v12026
Escaping Saddles with Stochastic Gradients
Hadi Daneshmand, Jonas Kohler, Aurelien Lucchi +1
cs.LGmath.OCstat.MLarXiv:1803.05999v22018

Machine Learning

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

If Influence Functions are the Answer, Then What is the Question?

MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models

Anomaly Detection in Dynamic Graphs via Transformer

Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning

The Robust Manifold Defense: Adversarial Training using Generative Models

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes

Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It

SpinalNet: Deep Neural Network with Gradual Input

Unsupervised Anomaly Localization using Variational Auto-Encoders

NextMem: Towards Latent Factual Memory for LLM-based Agents

Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers

Small Language Models: Survey, Measurements, and Insights

Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference

Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks

Inductive Biases and Variable Creation in Self-Attention Mechanisms

Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning

Between Pure and Approximate Differential Privacy

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Training verified learners with learned verifiers

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

Towards minimax policies for online linear optimization with bandit feedback

From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Models

BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning

Temporal Multimodal Fusion for Video Emotion Classification in the Wild

A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Image Generators with Conditionally-Independent Pixel Synthesis

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication

Gaussian Process Prior Variational Autoencoders

Signed Graph Attention Networks

Quantization-Aware Collaborative Inference for Large Embodied AI Models

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking

Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents

Weakly-Supervised Video Moment Retrieval via Semantic Completion Network

From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs

Privately Learning High-Dimensional Distributions

Tight Analyses for Non-Smooth Stochastic Gradient Descent

Neural Arabic Question Answering

Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics

Improving aircraft performance using machine learning: a review

Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Does a Technique for Building Multimodal Representation Matter? -- Comparative Analysis

Understanding Neural Networks via Feature Visualization: A survey

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts

Escaping Saddles with Stochastic Gradients