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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23,941 to 24,000 of 33,310

Pros and Cons of GAN Evaluation Measures: New Developments
Ali Borji
cs.LGcs.AIcs.CVarXiv:2103.09396v32021
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay, Dara Bahri, Donald Metzler +3
cs.CLcs.IRcs.LGarXiv:2005.00743v32020
Symmetry Discovery in Quantum Learning: Observable-Level and Task-Level Inference from Finite Measurements
Zeyu Chen
quant-phcs.LGarXiv:2610.00157v12026
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong, Zhijie Deng, Tianyu Pang +2
cs.LGcs.CRstat.MLarXiv:2002.05999v22020
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan +2
cs.LGstat.MLarXiv:1810.01963v42018
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
Tingkai Yan, Haodong Wen, Binghui Li +3
cs.LGstat.MLarXiv:2511.13421v22025
AgentSM: Semantic Memory for Agentic Text-to-SQL
Asim Biswal, Chuan Lei, Xiao Qin +3
cs.AIcs.DBcs.LGarXiv:2601.15709v12026
Causal Discovery in the Era of Agents
Yujia Zheng, Vishal Verma, Mantej Gill +3
cs.AIcs.LGcs.SEarXiv:2606.23608v12026
Optimal Demand Response Using Device Based Reinforcement Learning
Zheng Wen, Daniel O'Neill, Hamid Reza Maei
cs.LGcs.AIeess.SYarXiv:1401.1549v22014
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Yujin Oh, Sangjoon Park, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2004.05758v22020
Evasion Attacks: How Adversarial Noise Bypasses ML Classifiers
Parker Hummel, Ryne Skabo, Muhammad Abusaqer
cs.CRcs.CLcs.LGarXiv:2610.00136v12026
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
cs.CYcs.AIcs.LGarXiv:1906.09208v32019
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das +3
cs.CVcs.AIcs.LGarXiv:1610.02391v42016
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim, Tanhim Islam, Oya Beyan +4
q-bio.QMcs.AIcs.LGarXiv:2212.13261v32022
MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation
Xiangyu Liu, Zeting Yan, Zhitong Yin +2
cs.LGarXiv:2608.29304v12026
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World
Yining Hong, Zishuo Zheng, Peihao Chen +3
cs.CVcs.AIcs.CLarXiv:2401.08577v12024
Review of Fall Detection Techniques: A Data Availability Perspective
Shehroz S. Khan, Jesse Hoey
cs.LGarXiv:1605.09351v22016
RewardBench: Evaluating Reward Models for Language Modeling
Nathan Lambert, Valentina Pyatkin, Jacob Morrison +9
cs.LGarXiv:2403.13787v22024
SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs
Stefan Abi-Karam, Miaoyan Zhou, Callie Hao
cs.ARcs.LGarXiv:2610.00106v12026
Interface-Induced Trajectory Censoring
Wenbo Wang
cs.AIcs.LGarXiv:2609.03966v12026
What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling
Yuliana Shakhvalieva, Dmitrii Kharchev, Viacheslav Bezrukov +4
cs.LGcs.AIarXiv:2609.39967v12026
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma +11
cs.LGcs.AIcs.CLarXiv:2507.19849v12025
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels +2
cs.LGstat.MLarXiv:1910.11758v42019
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Qingwen Bu, Yanting Yang, Jisong Cai +5
cs.ROcs.AIcs.LGarXiv:2505.06111v32025
A Comparative Survey of Recent Natural Language Interfaces for Databases
Katrin Affolter, Kurt Stockinger, Abraham Bernstein
cs.DBcs.CLcs.LGarXiv:1906.08990v12019
FedSplit: An algorithmic framework for fast federated optimization
Reese Pathak, Martin J. Wainwright
cs.LGmath.OCstat.MLarXiv:2005.05238v12020
"very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
Jinhao Duan, Zicheng Liu, Zijie Liu +2
cs.LGarXiv:2610.00083v12026
Minimal Gated Unit for Recurrent Neural Networks
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang +1
cs.NEcs.LGarXiv:1603.09420v12016
MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Mind Lab, :, Song Cao +60
cs.LGcs.AIcs.DCarXiv:2605.13779v22026
CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition
Junjie Meng, Ranxu Zhang, Zi-an Zhang +6
cs.LGarXiv:2608.25871v12026
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart +9
cs.LGcs.AIcs.CVarXiv:1709.07857v22017
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
Ian Wu, Yuxiao Qu, Amrith Setlur +1
cs.LGarXiv:2602.03773v22026
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems
Xiaoze Liu, Ruowang Zhang, Weichen Yu +7
cs.CLcs.CVcs.LGarXiv:2602.15382v22026
An ensemble-based system for automatic screening of diabetic retinopathy
Balint Antal, Andras Hajdu
cs.CVcs.LGstat.AParXiv:1410.8576v12014
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna, Anna Rogers, Anna Rumshisky
cs.CLcs.LGarXiv:2005.00561v22020
SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
Amirhosein Azarpour, Seyyed Moein Kazemi
cs.LGcs.AIarXiv:2610.00050v12026
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Ali Behrouz, Farnoosh Hashemi, Adel Javanmard +1
cs.LGcs.AIarXiv:2606.03979v22026
Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme
Chenguang Duan, Johannes Hertrich, Gabriele Steidl
math.NAcs.LGcs.NAarXiv:2610.10278v12026
Scaling Laws for Fine-Grained Mixture of Experts
Jakub Krajewski, Jan Ludziejewski, Kamil Adamczewski +9
cs.LGcs.AIcs.CLarXiv:2402.07871v12024
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
Zhenheng Tang, Xueze Kang, Yiming Yin +11
cs.DCcs.AIcs.LGarXiv:2410.12707v12024
Critique of Agent Model
Eric Xing, Mingkai Deng, Jinyu Hou
cs.AIcs.LGcs.MAarXiv:2606.23991v12026
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
cs.CRcs.LGarXiv:2106.14707v32021
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, Abram L. Friesen, Andrea Banino +13
cs.LGstat.MLarXiv:2202.08417v42022
Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing
Zhaoming Li, Paul Hand
stat.MLcs.LGarXiv:2609.02790v12026
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +2
cs.LGcs.DCmath.OCarXiv:1909.13014v42019
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
cs.ROcs.AIcs.GRarXiv:1810.01054v12018
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.CLcs.LGarXiv:2504.17674v12025
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu, James Zou
cs.AIcs.LGstat.MLarXiv:1710.06574v12017
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
Shuqi Ke, Giulia Fanti
cs.LGcs.AIarXiv:2601.22108v22026
Semifactual Credit-Augmented Policy Optimization
Junshu Pan, Zhizhang Fu, Shulin Huang +5
cs.LGcs.AIcs.CLarXiv:2609.40360v12026
Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction
Zhong Guan, Yongjian Guo, Haoran Sun +5
cs.LGcs.AIarXiv:2605.12070v22026
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong +2
cs.LGcs.NEstat.MLarXiv:1811.03760v12018
SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
Baishi Li, Kelvin J. L. Koa, Ke-Wei Huang
stat.MLcs.AIcs.LGarXiv:2608.17333v12026
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes, Christopher Kanan
cs.LGcs.CVstat.MLarXiv:1909.01520v32019
Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text
Dulhan Jayalath, Oiwi Parker Jones
cs.LGq-bio.NCarXiv:2609.40359v12026
On weight initialization in deep neural networks
Siddharth Krishna Kumar
cs.LGarXiv:1704.08863v22017
PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, Zhifang Guo, Kai Shen +12
eess.AScs.CLcs.LGarXiv:2309.02285v22023
VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR
Yani Guan, Dengpan Dong, Shuang Luo +6
cs.CVcs.IRcs.LGarXiv:2608.22183v12026
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2305.07759v22023
Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems
Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer +1
cs.LGarXiv:2608.29888v12026

Machine Learning

Pros and Cons of GAN Evaluation Measures: New Developments

Synthesizer: Rethinking Self-Attention in Transformer Models

Symmetry Discovery in Quantum Learning: Observable-Level and Task-Level Inference from Finite Measurements

Adversarial Distributional Training for Robust Deep Learning

Learning Scheduling Algorithms for Data Processing Clusters

Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression

AgentSM: Semantic Memory for Agentic Text-to-SQL

Causal Discovery in the Era of Agents

Optimal Demand Response Using Device Based Reinforcement Learning

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

Evasion Attacks: How Adversarial Noise Bypasses ML Classifiers

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Explainable AI for Bioinformatics: Methods, Tools, and Applications

MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation

MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World

Review of Fall Detection Techniques: A Data Availability Perspective

RewardBench: Evaluating Reward Models for Language Modeling

SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs

Interface-Induced Trajectory Censoring

What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling

Agentic Reinforced Policy Optimization

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

A Comparative Survey of Recent Natural Language Interfaces for Databases

FedSplit: An algorithmic framework for fast federated optimization

"very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification

Minimal Gated Unit for Recurrent Neural Networks

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

An ensemble-based system for automatic screening of diabetic retinopathy

When BERT Plays the Lottery, All Tickets Are Winning

SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme

Scaling Laws for Fine-Grained Mixture of Experts

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression

Critique of Agent Model

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Retrieval-Augmented Reinforcement Learning

Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

The Effects of Memory Replay in Reinforcement Learning

Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining

Semifactual Credit-Augmented Policy Optimization

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text

On weight initialization in deep neural networks

PromptTTS 2: Describing and Generating Voices with Text Prompt

VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems