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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5,041 to 5,100 of 20,175

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo
cs.LGq-fin.STstat.MLarXiv:2004.10178v22020
Polis: 3D Self-Supervision at City Scale
Alexander Rusnak, Sophia Kovalenko, Jingru Wang +3
cs.CVcs.AIcs.LGarXiv:2608.29426v12026
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
Elham Kiyani, Khemraj Shukla, Jorge F. Urbán +2
cs.LGcs.AImath.OCarXiv:2501.16371v62025
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu +5
cs.CVcs.LGarXiv:2111.08644v32021
On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur, Nathan Srebro
stat.MLcs.DScs.IRarXiv:1410.5518v32014
Circulant Binary Embedding
Felix X. Yu, Sanjiv Kumar, Yunchao Gong +1
stat.MLcs.LGarXiv:1405.3162v12014
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu, Weitong Zhang, Pan Xu +1
cs.LGmath.OCstat.MLarXiv:2005.01350v32020
The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks
João Manoel Herrera Pinheiro, Suzana Vilas Boas de Oliveira, Thiago Henrique Segreto Silva +5
cs.LGstat.MLarXiv:2506.08274v52025
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen, Hao Su, Xiaolong Wang
cs.LGcs.CVcs.ROarXiv:2107.00644v22021
Hierarchical Planning with Latent World Models
Wancong Zhang, Basile Terver, Artem Zholus +8
cs.LGarXiv:2604.03208v22026
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Guofei Pang, Marta D'Elia, Michael Parks +1
math.APcs.LGmath.OCarXiv:2004.04276v12020
DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
Qile Jiang, Zhiwei Gao, George Em Karniadakis
cs.LGcs.AIarXiv:2502.17764v22025
Spurious Forgetting in Continual Learning of Language Models
Junhao Zheng, Xidi Cai, Shengjie Qiu +1
cs.LGarXiv:2501.13453v12025
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu, Lingfei Wu, Zhiguo Wang +3
cs.AIcs.CLcs.LGarXiv:1804.00823v42018
REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent
Qian Zhang, Yaoming Li, Zhewen Tan +9
cs.LGcs.AIarXiv:2609.00049v12026
Meta Flow Maps enable scalable reward alignment
Peter Potaptchik, Adhi Saravanan, Abbas Mammadov +3
stat.MLcs.LGarXiv:2601.14430v22026
A Functional Taxonomy of Music Generation Systems
Dorien Herremans, Ching-Hua Chuan, Elaine Chew
cs.SDcs.LGeess.ASarXiv:1812.04186v12018
DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks
Wenqi Huang, Charley Lee, Leonard Tng +1
cs.SEcs.LGarXiv:2607.07946v12026
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Reza Azad, Moein Heidari, Moein Shariatnia +4
eess.IVcs.CVcs.LGarXiv:2208.00713v12022
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
Yuxiao Hu, Qian Li, Dongxiao Zhang +2
cs.LGcs.CLstat.AParXiv:2501.03747v32025
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer +1
cs.LGcs.AIarXiv:2111.11210v32021
BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
Yunfan Jiang, Ruohan Zhang, Josiah Wong +7
cs.ROcs.AIcs.CVarXiv:2503.05652v22025
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
Lu Lu, Raphael Pestourie, Steven G. Johnson +1
physics.comp-phcs.LGarXiv:2204.06684v12022
Pomegranate: fast and flexible probabilistic modeling in python
Jacob Schreiber
cs.AIcs.LGstat.MLarXiv:1711.00137v22017
MolecularRNN: Generating realistic molecular graphs with optimized properties
Mariya Popova, Mykhailo Shvets, Junier Oliva +1
cs.LGcs.AIq-bio.MNarXiv:1905.13372v12019
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach
Zhao Chen, Xiaodong Wang
cs.LGeess.SPmath.OCarXiv:1812.07394v12018
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
William Timkey, Marten van Schijndel
cs.CLcs.LGarXiv:2109.04404v12021
Do Sparse Autoencoders Capture Concept Manifolds?
Usha Bhalla, Thomas Fel, Can Rager +9
cs.LGcs.AIarXiv:2604.28119v12026
Convolutional-Recurrent Neural Networks for Speech Enhancement
Han Zhao, Shuayb Zarar, Ivan Tashev +1
cs.SDcs.CLcs.LGarXiv:1805.00579v12018
Deep Learning for Procedural Content Generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa +3
cs.AIcs.LGarXiv:2010.04548v12020
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
stat.MLcs.LGarXiv:2205.12156v22022
When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
Ismail Erbas, Xavier Intes, Vikas Pandey
cs.AIcs.LGphysics.opticsarXiv:2609.04490v12026
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Yinhong Liu, Han Zhou, Zhijiang Guo +4
cs.CLcs.AIcs.LGarXiv:2403.16950v52024
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
stat.MLcs.LGstat.COarXiv:1205.6326v22012
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
Xutao Wang, Hanting Chen, Tianyu Guo +1
cs.LGarXiv:2607.13428v12026
Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guide
Taejong Joo, Diego Klabjan
cs.AIcs.LGarXiv:2608.30051v12026
POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration
Yuxiao Qu, Amrith Setlur, Virginia Smith +2
cs.LGcs.AIcs.CLarXiv:2601.18779v12026
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Lili Yu, Dániel Simig, Colin Flaherty +3
cs.LGarXiv:2305.07185v22023
Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
Ruiqian Nai, Boyuan Zheng, Junming Zhao +8
cs.ROcs.AIcs.LGarXiv:2602.06643v22026
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
cs.LGcs.IRstat.MLarXiv:1905.08865v22019
POLYGLOT-NER: Massive Multilingual Named Entity Recognition
Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi +1
cs.CLcs.LGarXiv:1410.3791v12014
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal, Sarthak Mittal, Aristide Baratin +4
cs.LGstat.MLarXiv:1810.08591v42018
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
Yuqi Li, Chuanguang Yang, Hansheng Zeng +5
cs.LGcs.AIcs.CVarXiv:2507.02939v22025
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
Bingyang Wu, Shengyu Liu, Yinmin Zhong +3
cs.DCcs.LGarXiv:2404.09526v22024
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
Jie Cheng, Gang Xiong, Ruixi Qiao +5
cs.AIcs.LGarXiv:2504.15275v32025
Focused Transformer: Contrastive Training for Context Scaling
Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek +3
cs.CLcs.AIcs.LGarXiv:2307.03170v22023
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh, Charles Siegel, Abhinav Vishnu +2
stat.MLcs.AIcs.CEarXiv:1706.06689v12017
Do Large Language Model Benchmarks Test Reliability?
Joshua Vendrow, Edward Vendrow, Sara Beery +1
cs.LGcs.CLarXiv:2502.03461v12025
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
Weichen Fan, Chenyang Si, Junhao Song +16
cs.CVcs.LGarXiv:2501.08453v12025
Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
Hermione Warr, Harry Anthony, Lilli J Freischem +3
cs.LGcs.AIarXiv:2608.30021v12026
On the Instance Hardness as a Decision Criterion in TinyML Systems
Tobiasz Puslecki, Krzysztof Walkowiak
cs.AIcs.LGarXiv:2608.29913v12026
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag +1
cs.CLcs.AIcs.LGarXiv:2504.14150v22025
Adversarial Dropout for Supervised and Semi-supervised Learning
Sungrae Park, Jun-Keon Park, Su-Jin Shin +1
cs.LGcs.CVarXiv:1707.03631v22017
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Álvaro Arroyo, Alessio Gravina, Benjamin Gutteridge +5
cs.LGcs.AIarXiv:2502.10818v22025
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark, Priyank Jaini
cs.CVcs.AIcs.LGarXiv:2303.15233v22023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang, Zeke Xie, Hanyu Peng +3
cs.LGarXiv:2205.09329v22022
The Intervention Gap in Latent World Models
Donna Vakalis
cs.LGarXiv:2608.29998v12026
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao +4
cs.IRcs.LGarXiv:2102.09267v12021
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
cs.LGcs.CReess.SParXiv:2004.05005v12020
Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains
Abdolmehdi Behroozi, Chaopeng Shen
cs.LGarXiv:2608.29892v12026

Machine Learning

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests

Polis: 3D Self-Supervision at City Scale

Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

On Symmetric and Asymmetric LSHs for Inner Product Search

Circulant Binary Embedding

A Finite Time Analysis of Two Time-Scale Actor Critic Methods

The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation

Hierarchical Planning with Latent World Models

nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications

DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks

Spurious Forgetting in Continual Learning of Language Models

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent

Meta Flow Maps enable scalable reward alignment

A Functional Taxonomy of Music Generation Systems

DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks

TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation

Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series

GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport

Pomegranate: fast and flexible probabilistic modeling in python

MolecularRNN: Generating realistic molecular graphs with optimized properties

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality

Do Sparse Autoencoders Capture Concept Manifolds?

Convolutional-Recurrent Neural Networks for Speech Enhancement

Deep Learning for Procedural Content Generation

Not too little, not too much: a theoretical analysis of graph (over)smoothing

When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

A Framework for Evaluating Approximation Methods for Gaussian Process Regression

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guide

POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

POLYGLOT-NER: Massive Multilingual Named Entity Recognition

A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism

Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning

Focused Transformer: Contrastive Training for Context Scaling

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

Do Large Language Model Benchmarks Test Reliability?

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models

On the Instance Hardness as a Decision Criterion in TinyML Systems

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Adversarial Dropout for Supervised and Semi-supervised Learning

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

Text-to-Image Diffusion Models are Zero-Shot Classifiers

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The Intervention Gap in Latent World Models

Sparse-Interest Network for Sequential Recommendation

Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems

Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains