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.

Search paper metadata (including unsummarized papers)

3,961 to 4,020 of 20,221

Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan +5
cs.LGcs.AIstat.MLarXiv:1803.07246v12018
Modular Deep Recurrent Neural Network: Application to Quadrotors
Nima Mohajerin, Steven L. Waslander
cs.LGarXiv:2609.04339v12026
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim, Coleman Hooper, Thanakul Wattanawong +9
cs.CLcs.LGarXiv:2302.14017v12023
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N Okoani +3
cs.CLcs.AIcs.LGarXiv:2601.05366v22026
When Should We Introduce Safety Interventions During Pretraining?
Dylan Sam, Sachin Goyal, Pratyush Maini +2
cs.LGarXiv:2601.07087v22026
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Abdelhadi Azzouni, Guy Pujolle
cs.NIcs.LGarXiv:1705.05690v32017
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen, Jiachen Hu, Chi Jin +2
cs.LGarXiv:2110.03239v22021
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Krzysztof Z. Gajos, Lena Mamykina
cs.HCcs.AIcs.LGarXiv:2202.05402v12022
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
Eunbyung Park, Alexander C. Berg
cs.CVcs.LGarXiv:1801.03049v22018
High Accuracy Android Malware Detection Using Ensemble Learning
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
cs.CRcs.LGarXiv:1608.00835v12016
RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
Xiucheng Wang, Peilin Zheng, Honggang Jia +4
cs.LGeess.SParXiv:2601.02790v12026
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
Xian Liu, Yinghao Xu, Qianyi Wu +3
cs.CVcs.GRcs.LGarXiv:2201.07786v12022
Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
Yunfei Nie, Jiawei Wang, Ruobing Yan +3
cs.LGarXiv:2605.12782v12026
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville +2
cs.LGcs.SIarXiv:2106.06586v12021
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu, Wei Ping, Chaowei Xiao +4
cs.CVcs.CLcs.LGarXiv:2107.02192v32021
Using DUCK-Net for Polyp Image Segmentation
Razvan-Gabriel Dumitru, Darius Peteleaza, Catalin Craciun
cs.CVcs.LGarXiv:2311.02239v12023
Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection
Ziyu Yang, Guibin Chen, Yuxin Yang +2
cs.LGcs.AIcs.CLarXiv:2601.09684v12026
Generative AI collective behavior needs an interactionist paradigm
Laura Ferrarotti, Gian Maria Campedelli, Roberto Dessì +7
cs.AIcs.CYcs.HCarXiv:2601.10567v12026
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Jingcan Duan, Siwei Wang, Pei Zhang +5
cs.LGarXiv:2212.00535v22022
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
stat.MLcs.LGarXiv:1705.01936v32017
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5
cs.LGcs.AIcs.SEarXiv:2601.11895v32026
Boundary-Seeking Generative Adversarial Networks
R Devon Hjelm, Athul Paul Jacob, Tong Che +3
stat.MLcs.LGarXiv:1702.08431v42017
RMDL: Random Multimodel Deep Learning for Classification
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown +2
cs.LGcs.AIcs.CVarXiv:1805.01890v22018
Reinforcement Learning for Quantum Technology
Marin Bukov, Florian Marquardt
quant-phcond-mat.quant-gascond-mat.stat-mecharXiv:2601.18953v12026
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen, Neil Band, Clare Lyle +3
cs.LGstat.MLarXiv:2106.02584v22021
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani +7
cs.CLcs.AIcs.LGarXiv:2211.00083v12022
MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning
Xunkai Li, Yuming Ai, Yinlin Zhu +7
cs.LGarXiv:2601.22416v12026
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis +5
cs.CLcs.LGstat.MLarXiv:1809.01494v12018
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
cs.CYcs.LGstat.MLarXiv:1806.07385v22018
Diverse mini-batch Active Learning
Fedor Zhdanov
cs.LGstat.MLarXiv:1901.05954v12019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi, Shayan shekarforoush, S. Arvind krishna +6
cs.LGstat.MLarXiv:1903.04233v12019
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:1904.08502v22019
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

Machine Learning

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Modular Deep Recurrent Neural Network: Application to Quadrotors

Full Stack Optimization of Transformer Inference: a Survey

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models

When Should We Introduce Safety Interventions During Pretraining?

A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction

Understanding Domain Randomization for Sim-to-real Transfer

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

High Accuracy Android Malware Detection Using Ensemble Learning

RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Long-Short Transformer: Efficient Transformers for Language and Vision

Using DUCK-Net for Polyp Image Segmentation

Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection

Generative AI collective behavior needs an interactionist paradigm

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models

Boundary-Seeking Generative Adversarial Networks

RMDL: Random Multimodel Deep Learning for Classification

Reinforcement Learning for Quantum Technology

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning

Interpretation of Natural Language Rules in Conversational Machine Reading

Detecting and interpreting myocardial infarction using fully convolutional neural networks

Diverse mini-batch Active Learning

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Few-Shot Learning with Localization in Realistic Settings

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