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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16,021 to 16,080 of 20,193

SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
Arion Das, Partha Pratim Saha, Amit Dhanda +3
cs.LGcs.AIcs.CLarXiv:2601.06238v12026
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence
cs.LGarXiv:2011.09926v32020
Neural Operator: Learning Maps Between Function Spaces
Nikola Kovachki, Zongyi Li, Burigede Liu +4
cs.LGmath.NAarXiv:2108.08481v62021
Disentangled Skill Representations for Predictive Human Modeling
Mariah Schrum, Deepak Gopinath, Srijan Srivatsa +2
cs.LGcs.AIarXiv:2608.23776v12026
Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths
Xuezhe Ma, Shicheng Wen, Linghao Jin +11
cs.LGcs.CLarXiv:2601.06463v12026
A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU
Andrew James Amos
cs.LGcs.DCarXiv:2608.24067v12026
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
Jintao Ke, Hongyu Zheng, Hai Yang +2
cs.LGarXiv:1706.06279v12017
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1806.08730v12018
FrugalSOT - Frugal Search Over the Models
Pradheep P, Yuvanesh S, Harish KB +4
cs.LGarXiv:2608.21621v12026
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
cs.CLcs.LGcs.NEarXiv:1812.08951v22018
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle
Harini Suresh, John V. Guttag
cs.LGstat.MLarXiv:1901.10002v52019
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip S. Thomas, Emma Brunskill
cs.LGcs.AIarXiv:1604.00923v12016
RetrievalFormer: A Dual-Encoder Transformer for Efficient Approximate Nearest Neighbor Retrieval and Cold-Item Recommendation
Theodore Rogers, Joe Standerfer, Dmitrii Timoshenko +3
cs.IRcs.LGarXiv:2608.24079v12026
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev +1
cs.LGarXiv:2209.15421v22022
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance DeVries, Graham W. Taylor
stat.MLcs.LGarXiv:1802.04865v12018
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner, Stephan Günnemann
cs.LGcs.CRstat.MLarXiv:1902.08412v22019
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde, Leslie Vogt, Li Li +3
physics.comp-phcs.LGphysics.chem-pharXiv:1609.02815v32016
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
Egor Cherepanov, Daniil Zelezetsky, Alexey K. Kovalev +1
cs.LGcs.AIcs.CVarXiv:2601.14232v22026
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong +1
stat.MLcs.LGarXiv:1806.08010v22018
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi, Chuang Gan, Yunzhu Li +4
cs.CVcs.AIcs.CLarXiv:1910.01442v22019
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Yunbo Wang, Haixu Wu, Jianjin Zhang +4
cs.LGcs.CVarXiv:2103.09504v42021
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik, Mike Chrzanowski, Adam Coates +9
cs.CLcs.LGcs.NEarXiv:1702.07825v22017
METIS: Mentoring Engine for Thoughtful Inquiry & Solutions
Abhinav Rajeev Kumar, Dhruv Trehan, Paras Chopra
cs.LGcs.AIarXiv:2601.13075v12026
Learning with Pseudo-Ensembles
Philip Bachman, Ouais Alsharif, Doina Precup
stat.MLcs.LGcs.NEarXiv:1412.4864v12014
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
cs.CLcs.AIcs.LGarXiv:1909.02027v12019
Low-Rank Ternary Adaptation for Fine-Tuning Transformers
Alexandru-Dragos Manolache, Yunqiang Li, Jan van Gemert
cs.CVcs.LGarXiv:2608.24469v12026
EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A
Shijian Ma, Yan Lin, Yi Yang
cs.LGcs.CLarXiv:2601.09142v22026
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
cs.AIcs.DCcs.LGarXiv:2601.09282v22026
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha +5
cs.LGstat.MLarXiv:2003.12206v42020
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord +1
cs.LGcs.CRstat.MLarXiv:1802.05666v22018
Beyond Cosine Similarity: Taming Semantic Drift and Antonym Intrusion in a 15-Million Node Turkish Synonym Graph
Ebubekir Tosun, Mehmet Emin Buldur, Özay Ezerceli +1
cs.CLcs.LGarXiv:2601.13251v12026
A Hybrid Protocol for Large-Scale Semantic Dataset Generation in Low-Resource Languages: The Turkish Semantic Relations Corpus
Ebubekir Tosun, Mehmet Emin Buldur, Özay Ezerceli +1
cs.CLcs.LGarXiv:2601.13253v12026
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang +4
cs.LGcs.IRstat.MLarXiv:1905.04413v32019
Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
Zhihang Yuan, Chengyu Yue, Long Huang +2
cs.CLcs.AIcs.LGarXiv:2601.13697v12026
Low-Latency Activation-Regularized Sparse Neural Operators with Distillation Assistance Towards Real-Time Edge-Deployable Virtual Sensing
William Howes, Farid Ahmed, Syed Bahauddin Alam
cs.LGarXiv:2608.23987v12026
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Yifan Ding +4
cs.LGcs.CVstat.MLarXiv:2010.07468v52020
AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation
Dongjie Cheng, Ruifeng Yuan, Yongqi Li +5
cs.LGcs.AIcs.CLarXiv:2601.17761v12026
A Variational Perspective on Accelerated Methods in Optimization
Andre Wibisono, Ashia C. Wilson, Michael I. Jordan
math.OCcs.LGstat.MLarXiv:1603.04245v12016
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier, Olivier Cappé
math.STcs.LGeess.SYarXiv:1102.2490v52011
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
cs.LGarXiv:2205.02302v32022
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, Simin Liu +4
cs.LGcs.ROstat.MLarXiv:1803.11347v62018
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Liping Li, Wei Xu, Tianyi Chen +2
cs.LGcs.CRcs.MAarXiv:1811.03761v22018
InterpretML: A Unified Framework for Machine Learning Interpretability
Harsha Nori, Samuel Jenkins, Paul Koch +1
cs.LGstat.MLarXiv:1909.09223v12019
GameTalk: Training LLMs for Strategic Conversation
Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van der Schaar
cs.CLcs.AIcs.GTarXiv:2601.16276v12026
Context-Aware Attentive Knowledge Tracing
Aritra Ghosh, Neil Heffernan, Andrew S. Lan
cs.LGcs.AIarXiv:2007.12324v12020
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour, Mehryar Mohri, Jae Ro +1
cs.LGstat.MLarXiv:2002.10619v22020
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Xiaomin Fang, Lihang Liu, Jieqiong Lei +6
cs.LGphysics.chem-phq-bio.MNarXiv:2106.06130v42021
GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery
Jingjie Ning, Xiangzhen Shen, Li Hou +8
cs.LGq-bio.QMarXiv:2601.19149v22026
Adversarial Logit Pairing
Harini Kannan, Alexey Kurakin, Ian Goodfellow
cs.LGstat.MLarXiv:1803.06373v12018
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay, Yilun Du, Abhi Gupta +3
cs.LGcs.AIarXiv:2211.15657v42022
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
Arka Daw, Anuj Karpatne, William Watkins +2
cs.LGcs.AIcs.CVarXiv:1710.11431v32017
Latent Adversarial Regularization for Offline Preference Optimization
Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu +3
cs.LGcs.AIarXiv:2601.22083v22026
The FLUXCOM ensemble of global land-atmosphere energy fluxes
Martin Jung, Sujan Koirala, Ulrich Weber +7
physics.ao-phcs.LGstat.MLarXiv:1812.04951v12018
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
Shuqi Ke, Giulia Fanti
cs.LGcs.AIarXiv:2601.22108v22026
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
Heng Zhang, Haotian Xiang, Qin Lu +2
cs.LGcs.AIarXiv:2608.24721v12026
Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning
Alperen Kantarci, Visvanathan Ramesh, Gemma Roig
cs.CVcs.AIcs.HCarXiv:2608.24340v12026
Automata from Agent Traces: Failure and Next-Step Prediction
Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed +4
cs.AIcs.CLcs.LGarXiv:2608.23670v12026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
cs.LGcs.AIarXiv:2602.00158v22026
nocaps: novel object captioning at scale
Harsh Agrawal, Karan Desai, Yufei Wang +7
cs.CVcs.AIcs.CLarXiv:1812.08658v32018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, François Fleuret
cs.LGarXiv:1803.00942v32018

Machine Learning

SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers

Challenges in Deploying Machine Learning: a Survey of Case Studies

Neural Operator: Learning Maps Between Function Spaces

Disentangled Skill Representations for Predictive Human Modeling

Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths

A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

The Natural Language Decathlon: Multitask Learning as Question Answering

FrugalSOT - Frugal Search Over the Models

Analysis Methods in Neural Language Processing: A Survey

A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning

RetrievalFormer: A Dual-Encoder Transformer for Efficient Approximate Nearest Neighbor Retrieval and Cold-Item Recommendation

TabDDPM: Modelling Tabular Data with Diffusion Models

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Adversarial Attacks on Graph Neural Networks via Meta Learning

By-passing the Kohn-Sham equations with machine learning

KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

Fairness Without Demographics in Repeated Loss Minimization

CLEVRER: CoLlision Events for Video REpresentation and Reasoning

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

Deep Voice: Real-time Neural Text-to-Speech

METIS: Mentoring Engine for Thoughtful Inquiry & Solutions

Learning with Pseudo-Ensembles

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Low-Rank Ternary Adaptation for Fine-Tuning Transformers

EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks

Beyond Cosine Similarity: Taming Semantic Drift and Antonym Intrusion in a 15-Million Node Turkish Synonym Graph

A Hybrid Protocol for Large-Scale Semantic Dataset Generation in Low-Resource Languages: The Turkish Semantic Relations Corpus

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning

Low-Latency Activation-Regularized Sparse Neural Operators with Distillation Assistance Towards Real-Time Edge-Deployable Virtual Sensing

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation

A Variational Perspective on Accelerated Methods in Optimization

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

InterpretML: A Unified Framework for Machine Learning Interpretability

GameTalk: Training LLMs for Strategic Conversation

Context-Aware Attentive Knowledge Tracing

Three Approaches for Personalization with Applications to Federated Learning

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction

GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery

Adversarial Logit Pairing

Is Conditional Generative Modeling all you need for Decision-Making?

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

Latent Adversarial Regularization for Offline Preference Optimization

The FLUXCOM ensemble of global land-atmosphere energy fluxes

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

Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity

Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning

Automata from Agent Traces: Failure and Next-Step Prediction

RAPTOR: Ridge-Adaptive Logistic Probes

nocaps: novel object captioning at scale

Not All Samples Are Created Equal: Deep Learning with Importance Sampling