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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32,221 to 32,280 of 33,048

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Luca Bertinetto, Romain Mueller, Konstantinos Tertikas +2
cs.CVcs.LGarXiv:1912.09393v22019
ARCHER: Amortized cross-specimen pose estimation for cryo-electron microscopy
Nhan D. Nguyen, Bao Pham
cs.LGmath-phq-bio.BMarXiv:2608.22029v12026
Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment
Mian Zhong, Katherine A. Keith, Anjalie Field
cs.CLcs.LGarXiv:2609.01322v12026
Unsupervised Learning via Meta-Learning
Kyle Hsu, Sergey Levine, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1810.02334v62018
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Liang Wen, Yunke Cai, Fenrui Xiao +11
cs.CLcs.LGarXiv:2503.10460v42025
Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling
Sean Lim
cs.LGq-bio.BMarXiv:2608.26538v12026
Frequency-aware forecasting for short-term typhoon gust prediction
Xuefei Wang, Tingyi Liu, Heng Zhang +1
cs.LGarXiv:2608.25604v12026
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou +5
cs.CVcs.AIcs.LGarXiv:2312.03606v22023
SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning
Mohammad Aref Jafari-Raddani, Morteza Mohajjel Kafshdooz
cs.LGcs.AIarXiv:2608.15360v12026
A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression
Sumaiya Afroz Mila, Sandip Ray
cs.LGarXiv:2608.14969v12026
Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction
Jafin Khan, Md Hossain Shuvo
cs.LGarXiv:2608.13797v12026
Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development
Zixi Li, Youzhen Li
cs.SDcs.LGeess.ASarXiv:2606.07207v12026
Regret Minimization with Adaptive Opponents in Repeated Games
Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu +1
cs.LGcs.AIcs.GTarXiv:2606.06486v12026
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn +6
cs.CVcs.AIcs.LGarXiv:2312.06662v12023
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomasz Korbak +16
cs.CLcs.AIcs.LGarXiv:2310.13548v42023
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu +4
cs.CLcs.AIcs.LGarXiv:2210.03629v32022
Music Source Separation with Band-split RNN
Yi Luo, Jianwei Yu
eess.AScs.LGcs.SDarXiv:2209.15174v12022
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
cs.LGcs.CRcs.DCarXiv:2007.10987v12020
Personalized Speech recognition on mobile devices
Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez +8
cs.CLcs.LGcs.SDarXiv:1603.03185v22016
TWIST: Teleoperated Whole-Body Imitation System
Yanjie Ze, Zixuan Chen, João Pedro Araújo +4
cs.ROcs.CVcs.LGarXiv:2505.02833v12025
AlphaStar: An Evolutionary Computation Perspective
Kai Arulkumaran, Antoine Cully, Julian Togelius
cs.NEcs.AIcs.LGarXiv:1902.01724v32019
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal +28
cs.LGarXiv:2111.02780v12021
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
Andros Tjandra, Yi-Chiao Wu, Baishan Guo +10
cs.SDcs.LGeess.ASarXiv:2502.05139v12025
Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L. F. Abbott
q-bio.NCcs.LGarXiv:2104.07059v32021
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn, Sonali Agarwal
eess.IVcs.CVcs.LGarXiv:2004.11676v52020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao, Yujing Wang, Juanyong Duan +7
cs.LGstat.MLarXiv:2009.02040v12020
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients
Irit Hochberg, Guy Feraru, Mark Kozdoba +3
cs.CYcs.LGarXiv:1605.04070v12016
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
eess.IVcs.LGstat.MLarXiv:2006.10027v22020
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh
cs.NEcs.ARcs.CVarXiv:1901.00121v12019
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé +2
cs.HCcs.CYcs.LGarXiv:1812.05239v22018
Automated software vulnerability detection with machine learning
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell +13
cs.SEcs.LGstat.MLarXiv:1803.04497v22018
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
cs.LGcs.AIstat.MLarXiv:1809.02499v32018
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38
cs.AIcs.LGstat.MLarXiv:2507.11473v22025
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha +1
cs.CVcs.LGstat.AParXiv:1802.08717v12018
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2
cs.LGcs.AIcs.CVarXiv:1711.04708v12017
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1704.02532v12017
Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing
Ling-Wei Kong, Ying-Cheng Lai
nlin.CDcs.LGarXiv:2609.01914v12026
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry +1
cs.SDcs.LGeess.ASarXiv:2101.08596v12021
LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference
Yuhan Liu, Yihua Cheng, Jiayi Yao +8
cs.LGarXiv:2510.09665v22025
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konečný, Jie Liu, Peter Richtárik +1
cs.LGstat.MLarXiv:1504.04407v22015
S-matrix informed neural networks for amplitude analysis
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
hep-phcs.LGnucl-tharXiv:2608.23750v12026
Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors
Deliang Wei, Evan Bell, Wenhan Guo +2
cs.LGarXiv:2608.17666v12026
Continual Evolution Strategies in Control Tasks
Nicola Pitzalis, Eleni Nisioti, Antonio Carta +2
cs.NEcs.LGarXiv:2608.13600v12026
Redesign Mixture-of-Experts Routers with Manifold Power Iteration
Songhao Wu, Ang Lv, Ruobing Xie +1
cs.LGcs.AIcs.CLarXiv:2606.12397v12026
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
Shu Wan, Abhinav Gorantla, Huan Liu +1
cs.LGcs.AIstat.MEarXiv:2605.29411v22026
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
Yifan Zeng, Yiran Wu, Yaolun Zhang +4
cs.AIcs.LGarXiv:2605.24202v22026
Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws
Nandan Kumar Jha, Brandon Reagen
cs.LGarXiv:2605.21803v12026
$p1$: Better Prompt Optimization with Fewer Prompts
Zhaolin Gao, Yu, Wang +4
cs.LGcs.CLarXiv:2604.08801v12026
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +5
cs.CVcs.LGarXiv:2204.11823v12022
The opportunities and risks of large language models in mental health
Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin +3
cs.CLcs.AIcs.CYarXiv:2403.14814v32024
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue, Bo Li, Rohit Prabhavalkar
cs.SDcs.LGcs.NEarXiv:1711.05747v22017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8
cs.CVcs.AIcs.LGarXiv:1711.01468v12017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning
Alejandro Salgueiro, Johannes Rausch, Julie Thérèse Villinger +1
cs.LGphysics.ao-pharXiv:2608.25700v12026
Training, learning and inference: unified dynamics of neural systems
Mian Wang
cs.LGarXiv:2608.20965v12026
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
Rafael Muñoz-Terol, Jesús Peral, Sandra Amador +1
cs.LGcs.AIarXiv:2608.18188v12026
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah +2
quant-phcs.AIcs.ETarXiv:2608.18155v12026
Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization
Ian W. Kennedy, Nafise Sadat Moosavi
cs.CLcs.LGarXiv:2604.08118v12026
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
stat.MEcs.AIcs.CLarXiv:2210.08964v52022
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
Albert Gu, Isys Johnson, Karan Goel +4
cs.LGcs.AIarXiv:2110.13985v12021

Machine Learning

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

ARCHER: Amortized cross-specimen pose estimation for cryo-electron microscopy

Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment

Unsupervised Learning via Meta-Learning

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling

Frequency-aware forecasting for short-term typhoon gust prediction

DiffusionSat: A Generative Foundation Model for Satellite Imagery

SAPE: Sandwich Adapters for Parameter Efficiency in Large Language Model Fine-Tuning

A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression

Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction

Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development

Regret Minimization with Adaptive Opponents in Repeated Games

Photorealistic Video Generation with Diffusion Models

Towards Understanding Sycophancy in Language Models

ReAct: Synergizing Reasoning and Acting in Language Models

Music Source Separation with Band-split RNN

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Personalized Speech recognition on mobile devices

TWIST: Teleoperated Whole-Body Imitation System

AlphaStar: An Evolutionary Computation Perspective

Flood forecasting with machine learning models in an operational framework

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Neural population geometry: An approach for understanding biological and artificial neural networks

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

Multivariate Time-series Anomaly Detection via Graph Attention Network

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

Deep Learning Meets SAR

FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review

Improving fairness in machine learning systems: What do industry practitioners need?

Automated software vulnerability detection with machine learning

MixUp as Locally Linear Out-Of-Manifold Regularization

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Machine Learning for the Geosciences: Challenges and Opportunities

Deep Reinforcement Learning framework for Autonomous Driving

Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing

LEAF: A Learnable Frontend for Audio Classification

LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference

Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

S-matrix informed neural networks for amplitude analysis

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

Continual Evolution Strategies in Control Tasks

Redesign Mixture-of-Experts Routers with Manifold Power Iteration

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs

Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws

$p1$: Better Prompt Optimization with Fewer Prompts

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

The opportunities and risks of large language models in mental health

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

A systematic study of the class imbalance problem in convolutional neural networks

Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning

Training, learning and inference: unified dynamics of neural systems

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers