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)

29,461 to 29,520 of 32,707

One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
Skanda Athreya, Yutong Wang
cs.LGstat.MLarXiv:2609.01311v12026
Adversarial Reprogramming of Neural Networks
Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein
cs.LGcs.CRcs.CVarXiv:1806.11146v22018
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Lean Wang, Huazuo Gao, Chenggang Zhao +2
cs.LGcs.CLarXiv:2408.15664v12024
Unsupervised Learning by Predicting Noise
Piotr Bojanowski, Armand Joulin
stat.MLcs.CVcs.LGarXiv:1704.05310v12017
Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning
Alexandre Amaral, Fernando Moro, Ana Malheiro
cs.CRcs.LGarXiv:2608.22075v32026
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
Raja Sunkara, Tie Luo
cs.CVcs.LGarXiv:2208.03641v12022
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Rebecca L. Russell, Louis Kim, Lei H. Hamilton +5
cs.LGcs.AIcs.SEarXiv:1807.04320v22018
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Yan Zhang, Ruidan He, Zuozhu Liu +2
cs.CLcs.LGarXiv:2009.12061v22020
Relative representations enable zero-shot latent space communication
Luca Moschella, Valentino Maiorca, Marco Fumero +3
cs.LGcs.AIarXiv:2209.15430v22022
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner +2
cs.LGstat.MLarXiv:1706.08500v62017
Predicting online extremism, content adopters, and interaction reciprocity
Emilio Ferrara, Wen-Qiang Wang, Onur Varol +2
cs.SIcs.LGphysics.soc-pharXiv:1605.00659v12016
LSTM-based Deep Learning Models for Non-factoid Answer Selection
Ming Tan, Cicero dos Santos, Bing Xiang +1
cs.CLcs.LGarXiv:1511.04108v42015
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
cs.ROcs.LGarXiv:1811.03307v12018
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
cs.LGcs.CVcs.NEarXiv:2006.14536v22020
MLI: An API for Distributed Machine Learning
Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6
cs.LGcs.DCstat.MLarXiv:1310.5426v22013
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit +2
cs.ROcs.AIcs.CVarXiv:2209.08959v12022
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Karl Pertsch, Kyle Stachowicz, Brian Ichter +6
cs.ROcs.LGarXiv:2501.09747v12025
Holographic Embeddings of Knowledge Graphs
Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio
cs.AIcs.LGstat.MLarXiv:1510.04935v22015
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi, Tristan Naumann, Peter Schulam +3
cs.LGcs.CYstat.MLarXiv:1806.00388v42018
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
Patrick Langer, Thomas Kaar, Max Rosenblattl +19
cs.LGarXiv:2510.02410v32025
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen, Shengju Qian, Haotian Tang +4
cs.CLcs.AIcs.LGarXiv:2309.12307v32023
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Yunzhen Feng, Julia Kempe, Cheng Zhang +2
cs.LGarXiv:2509.19284v12025
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter F. Stewart +1
cs.LGcs.CLstat.MLarXiv:1810.09593v12018
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus +1
cs.LGstat.MLarXiv:2110.01515v22021
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Guanqun Sun, Yizhi Pan, Weikun Kong +5
eess.IVcs.CVcs.GRarXiv:2310.12570v22023
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
Robert Krajewski, Julian Bock, Laurent Kloeker +1
cs.CVcs.AIcs.IRarXiv:1810.05642v12018
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong, Hang Su, Baoyuan Wu +4
cs.CVcs.CRcs.LGarXiv:1904.04433v12019
Secure Evaluation of Quantized Neural Networks
Anders Dalskov, Daniel Escudero, Marcel Keller
cs.CRcs.LGarXiv:1910.12435v22019
Better Fine-Tuning by Reducing Representational Collapse
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta +3
cs.LGcs.CLstat.MLarXiv:2008.03156v12020
Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations
Gaute Johannessen, Geert Roelof van der Ploeg, Evrim Acar
cs.LGarXiv:2608.13234v12026
Learning Human Identity from Motion Patterns
Natalia Neverova, Christian Wolf, Griffin Lacey +4
cs.LGcs.CVcs.NEarXiv:1511.03908v42015
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
Alona Golts, Daniel Freedman, Michael Elad
cs.CVcs.LGstat.MLarXiv:1812.07051v22018
Distributed Submodular Maximization
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar +1
cs.LGcs.AIcs.DCarXiv:1411.0541v22014
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Sébastien Bubeck, Nicolò Cesa-Bianchi
cs.LGstat.MLarXiv:1204.5721v22012
Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement
Clément Laroche, Riccardo Miccini
eess.AScs.LGcs.SDarXiv:2609.29867v12026
Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1
Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2
cs.AIcs.LGarXiv:2609.11281v12026
Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving
Hongjian Fan, Kevin Zhang, David Habinsky +1
cs.DCcs.LGarXiv:2609.10790v12026
Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement
Clément Laroche, Rasmus Kongsgaard Olsson
eess.AScs.LGcs.SDarXiv:2609.29866v12026
Discovery of fully efficient fault indicators along a data-based diagnosis process
Igor Bezmaternykh, Louise Travé-Massuyès, Elodie Chanthery
cs.AIcs.LGarXiv:2609.28087v12026
Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR
Cory Ilo, Brendan-David John, Doug A. Bowman
cs.CVcs.ETcs.HCarXiv:2609.04592v12026
TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling
Julien Knafou, Luc Mottin, Anaïs Mottaz +2
cs.CLcs.AIcs.LGarXiv:2609.26347v22026
TuiML: Machine Learning for AI Agents
Nilesh Verma, Nick Lim, Albert Bifet +1
cs.AIcs.LGarXiv:2609.17984v12026
LightSleepX: A Lightweight, Inception-Based Dual-Modal Network for Sleep Staging
Yi Wang
cs.LGarXiv:2609.19062v12026
Predicting Train Delays in Finland Using Machine Learning and Weather Data
Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda Mahmood
cs.AIcs.LGarXiv:2609.11277v12026
scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning
Murthy Devarakonda
q-bio.QMcs.LGarXiv:2609.10831v12026
Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance
Teng-Ruei Chen
cs.LGcs.SEarXiv:2609.00363v12026
Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time
Jun Zhou, Nathan Elgar, Tawnee Benedetto +5
cs.DCcs.LGarXiv:2609.11946v12026
ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design
Yutao Lai, Kezhao Lai, Hai-Lin Liu +2
cs.NEcs.LGarXiv:2609.00023v12026
Leveraging contextual events on structure-aware next activity prediction
Alessandro Mele, Claudia Diamantini, Domenico Potena
cs.LGcs.AIarXiv:2609.08622v12026
Using Prosody to Predict Syntactic Structure
Junghyun Min, Alex Warstadt, Tamar I. Regev +2
cs.CLcs.AIcs.LGarXiv:2608.30260v12026
A Corpus of Real Scam- and Spam-Call Conversations from an Active Voice-Agent Honeypot
Ethan Traister, Dennis Tsang Ng, Siyu Zhang +7
cs.CRcs.CLcs.LGarXiv:2609.29528v12026
Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures
Julien Laval, Robin Guiavarch, Antoine Dufournet +24
q-bio.QMcs.CVcs.LGarXiv:2609.05438v12026
Variational Continuation for Double Pendulum Periodic Orbits
Leo Yao, Ziming Liu, Max Tegmark
cs.LGmath-phnlin.CDarXiv:2609.05337v12026
PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting
Maryam Fakhari, Mehran Safayani
cs.LGcs.AImath.NAarXiv:2609.05235v12026
DeDelayed: Deleting Remote Inference Delay via On-Device Correction
Dan Jacobellis, Mateen Ulhaq, Fabien Racapé +2
eess.IVcs.AIcs.CVarXiv:2510.13714v32025
On Pretraining for Project-Level Code Completion
Maksim Sapronov, Evgeniy Glukhov
cs.SEcs.LGarXiv:2510.13697v12025
Same Bit Width, Different Outcomes: Post-Training Quantization of Text-to-Speech Across Architectures
Se Un Park, Yutae Kim, Junyoung Park
eess.AScs.LGcs.SDarXiv:2609.28974v12026
Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution
Md Rafid Islam, Zahid Hasan, Hafiz Abdur Rahman
cs.LGarXiv:2609.29564v12026
Amortizing Scaling Law Construction Costs
Abhash Kumar Jha, Diana Alexandra Onuţu, Neeratyoy Mallik +6
cs.LGcs.AIarXiv:2609.05016v12026
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
Muhammad Ashad Kabir, Sirajam Munira
cs.AIcs.LGarXiv:2609.04013v22026

Machine Learning

One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

Adversarial Reprogramming of Neural Networks

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Unsupervised Learning by Predicting Noise

Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

Automated Vulnerability Detection in Source Code Using Deep Representation Learning

An Unsupervised Sentence Embedding Method by Mutual Information Maximization

Relative representations enable zero-shot latent space communication

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Predicting online extremism, content adopters, and interaction reciprocity

LSTM-based Deep Learning Models for Non-factoid Answer Selection

Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge

Smooth Adversarial Training

MLI: An API for Distributed Machine Learning

Latent Plans for Task-Agnostic Offline Reinforcement Learning

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Holographic Embeddings of Knowledge Graphs

A Review of Challenges and Opportunities in Machine Learning for Health

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Secure Evaluation of Quantized Neural Networks

Better Fine-Tuning by Reducing Representational Collapse

Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

Learning Human Identity from Motion Patterns

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss

Distributed Submodular Maximization

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving

Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement

Discovery of fully efficient fault indicators along a data-based diagnosis process

Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR

TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling

TuiML: Machine Learning for AI Agents

LightSleepX: A Lightweight, Inception-Based Dual-Modal Network for Sleep Staging

Predicting Train Delays in Finland Using Machine Learning and Weather Data

scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning

Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance

Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time

ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design

Leveraging contextual events on structure-aware next activity prediction

Using Prosody to Predict Syntactic Structure

A Corpus of Real Scam- and Spam-Call Conversations from an Active Voice-Agent Honeypot

Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures

Variational Continuation for Double Pendulum Periodic Orbits

PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting

DeDelayed: Deleting Remote Inference Delay via On-Device Correction

On Pretraining for Project-Level Code Completion

Same Bit Width, Different Outcomes: Post-Training Quantization of Text-to-Speech Across Architectures

Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution

Amortizing Scaling Law Construction Costs

LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening