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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15,481 to 15,540 of 20,247

Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos, Maithra Raghu, Samy Bengio
stat.MLcs.AIcs.CVarXiv:1806.05759v32018
StateTune: Transforming LLM-Assisted EDA Flow Tuning into a Stateful, Closed-Loop Process
Kunlong Li, Shangshang Yao, Su Zheng +1
cs.ARcs.LGcs.MAarXiv:2608.23601v12026
Objects that Sound
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGcs.MMarXiv:1712.06651v22017
The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation
Ashritha Gonuguntla
cs.CVcs.CLcs.LGarXiv:2608.21713v12026
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
cs.CVcs.LGarXiv:2003.01456v22020
RiskWorld: Object-Centric Latent World Modeling for Autonomous Driving Risk Identification
Jingzheng Li, Yufei Ge, Qianren Mao +5
cs.ROcs.LGarXiv:2608.21414v12026
Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
Mohammad Javad Ahmadi, Hamid D. Taghirad
cs.ROcs.AIcs.LGarXiv:2608.21441v12026
Loss-Parameterized Fisher Width Along Learning Trajectories
Vu Khac Ky
cs.LGmath.STarXiv:2608.21561v12026
Variational Structure at the Edge of Stability
Eric Regis
cs.LGarXiv:2608.21660v12026
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora, Nadav Cohen, Elad Hazan
cs.LGarXiv:1802.06509v22018
TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modeling
Joshua Nunley
cs.LGcs.CLarXiv:2608.22117v12026
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
EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editing
Yuqian Zhou, Zhenghong Zhou, Zongze Wu +5
cs.CVcs.GRcs.HCarXiv:2608.21424v12026
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei, Jason Pazis, Christopher Amato +2
cs.LGcs.AIcs.MAarXiv:1703.06182v42017
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane +3
cs.DScs.ITcs.LGarXiv:1604.06443v22016
Sorting from Counterexamples
Noga Alon, Shay Moran, Shlomo Moran
cs.LGcs.CCcs.CGarXiv:2608.21579v12026
BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
Alvin Spivey, Yu Huang
cs.SEcs.CRcs.LGarXiv:2608.21503v12026
Essentially No Barriers in Neural Network Energy Landscape
Felix Draxler, Kambis Veschgini, Manfred Salmhofer +1
stat.MLcs.AIcs.LGarXiv:1803.00885v52018
Towards Universal Paraphrastic Sentence Embeddings
John Wieting, Mohit Bansal, Kevin Gimpel +1
cs.CLcs.LGarXiv:1511.08198v32015
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
cs.LGstat.MLarXiv:1910.12656v12019
Exploring Long-period Architectures: Four New Planet Candidates from Kepler with Periods >342 days
Matthew T. Hansen, Jason A. Dittmann
astro-ph.EPastro-ph.IMcs.LGarXiv:2608.23425v12026
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
eess.IVcs.AIcs.CVarXiv:2003.04696v52020
Geometric Structures on Graphs: a Holonomy-Based Discretization of Curvature
Hao Li, Yuhan Peng, Junwen Dong
cs.LGmath.DGarXiv:2608.22453v12026
Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs
Hariharan Ramesh, Someshwaran Murugaiyan, Jyotikrishna Dass
cs.LGcs.CLcs.DCarXiv:2608.22188v12026
Scaling Distributed Machine Learning with In-Network Aggregation
Amedeo Sapio, Marco Canini, Chen-Yu Ho +7
cs.DCcs.LGcs.NIarXiv:1903.06701v22019
Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
Valeria Legaria-Santiago, Amadeo Arguelles, Magdalena Saldana-Perez +2
cs.LGarXiv:2608.23219v12026
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch +2
cs.LGcs.ROstat.MLarXiv:1910.11956v12019
Complexity Induction: Compositional Generalization via Structured Label Distortion
Aleksandr Abramov
cs.CVcs.AIcs.LGarXiv:2608.21464v12026
Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems
Xiangming Meng
cs.LGcs.ITeess.SParXiv:2608.21709v12026
Guidance for Prior Change via Density Ratio Estimation
Yichen Zang, Song Liu, Jiun-Yi Lin
stat.MLcs.LGstat.MEarXiv:2608.21729v12026
Counterfactual Quotient Models: Learning What Actions Change, Not What the World Does
Junlin Chen, Ruijie Wang, Jianxin Li
cs.LGarXiv:2608.22092v12026
Semantic Reasoning Denoising: Correcting Language Model Reasoning with Semantic Operators
Yujiao Yang
cs.CLcs.AIcs.LGarXiv:2608.22090v12026
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K. Ho +4
cs.LGcs.AIcs.HCarXiv:1910.05789v22019
Spectral partitioning for $k$-block averaging kernels of finite Markov chains
Michael C. H. Choi, Youjia Wang
stat.MLcs.ITcs.LGarXiv:2608.21466v12026
Rethinking Communication Metrics: How Should We Measure Meaning?
Niloofar Tavakolian, Hakimeh Purmehdi, Jungyeon Baek
cs.LGarXiv:2608.21626v12026
Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2
cs.LGarXiv:2608.21473v12026
Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning
Yuyang Luo, Kai Shu
cs.LGcs.AIarXiv:2608.21577v12026
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi +8
eess.AScs.CLcs.LGarXiv:2306.15687v22023
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
stat.APcs.LGecon.EMarXiv:2012.03854v42020
TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics
Qin Gu, Chaofang Ma, Mingyu Yang +4
cs.ARcs.LGarXiv:2608.21887v12026
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
Hanrui Wang, Zhekai Zhang, Song Han
cs.ARcs.AIcs.CLarXiv:2012.09852v32020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David Minnen, Saurabh Singh
eess.IVcs.CVcs.ITarXiv:2007.08739v12020
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
cs.CLcs.AIcs.LGarXiv:1803.02893v12018
Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers
Clemens Eisenhofer, Yuwen Jia, Daniel Kroening +1
cs.PLcs.DScs.LGarXiv:2608.21555v12026
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta +2
cs.LGcs.AIstat.MLarXiv:2608.21995v12026
Multi-attention Recurrent Network for Human Communication Comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria +3
cs.AIcs.CLcs.LGarXiv:1802.00923v12018
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss +5
cs.CLcs.LGcs.NEarXiv:1603.06042v22016
Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment
Yeqing Qiu, Chengpiao Huang, Ye Xue +7
cs.LGeess.SParXiv:2608.21485v12026
ChemDIRT: A Diversified Instruction, Representation, and Task Benchmark for Robust Chemistry-LLM Evaluation
Eric Inae, Tim Gunn, Chris Bond +1
cs.LGarXiv:2608.21504v12026
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
cs.LGarXiv:1701.04722v42017
Blended Latent Diffusion
Omri Avrahami, Ohad Fried, Dani Lischinski
cs.CVcs.GRcs.LGarXiv:2206.02779v22022
Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program
Rashmita Kudamala, Aravind V. Kuruvikkattil, Lalitha Pranathi Pulavarthy +1
cs.LGstat.AParXiv:2608.21589v12026
Guaranteed Rank Minimization via Singular Value Projection
Raghu Meka, Prateek Jain, Inderjit S. Dhillon
cs.LGcs.ITarXiv:0909.5457v32009
Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate
Jae Wan Shim
stat.MLcs.ITcs.LGarXiv:2608.21467v22026
GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models
Khoa Nguyen, Daniel Serino, Aviral Prakash +1
cs.LGstat.MLarXiv:2608.21652v12026
SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis
Ximiao Li, Lin Jiang, Rongchao Xu +3
cs.LGcs.AIarXiv:2608.21673v12026
Class Imbalance Problem in Data Mining Review
Rushi Longadge, Snehalata Dongre
cs.LGarXiv:1305.1707v12013
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
eess.IVcs.CVcs.LGarXiv:2004.06578v12020
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Jialin Pan
cs.NEcs.CVcs.LGarXiv:1705.07565v22017
When More References Hurt: Contamination-Aware DINOv2 Memory Banks for Few-Shot Steel Defect Detection
Hannaneh Kalantary, Javad Khoramdel
cs.CVcs.LGarXiv:2608.22082v22026

Machine Learning

Insights on representational similarity in neural networks with canonical correlation

StateTune: Transforming LLM-Assisted EDA Flow Tuning into a Stateful, Closed-Loop Process

Objects that Sound

The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

RiskWorld: Object-Centric Latent World Modeling for Autonomous Driving Risk Identification

Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer

Loss-Parameterized Fisher Width Along Learning Trajectories

Variational Structure at the Edge of Stability

On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization

TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modeling

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

EditStream: A Unified Autoregressive Framework for Interactive Video Generation and Editing

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

Robust Estimators in High Dimensions without the Computational Intractability

Sorting from Counterexamples

BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces

Essentially No Barriers in Neural Network Energy Landscape

Towards Universal Paraphrastic Sentence Embeddings

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Exploring Long-period Architectures: Four New Planet Candidates from Kepler with Periods >342 days

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Geometric Structures on Graphs: a Holonomy-Based Discretization of Curvature

Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs

Scaling Distributed Machine Learning with In-Network Aggregation

Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Complexity Induction: Compositional Generalization via Structured Label Distortion

Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems

Guidance for Prior Change via Density Ratio Estimation

Counterfactual Quotient Models: Learning What Actions Change, Not What the World Does

Semantic Reasoning Denoising: Correcting Language Model Reasoning with Semantic Operators

On the Utility of Learning about Humans for Human-AI Coordination

Spectral partitioning for $k$-block averaging kernels of finite Markov chains

Rethinking Communication Metrics: How Should We Measure Meaning?

Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification

Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Forecasting: theory and practice

TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Channel-wise Autoregressive Entropy Models for Learned Image Compression

An efficient framework for learning sentence representations

Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers

Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments

Multi-attention Recurrent Network for Human Communication Comprehension

Globally Normalized Transition-Based Neural Networks

Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment

ChemDIRT: A Diversified Instruction, Representation, and Task Benchmark for Robust Chemistry-LLM Evaluation

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

Blended Latent Diffusion

Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program

Guaranteed Rank Minimization via Singular Value Projection

Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate

GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models

SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis

Class Imbalance Problem in Data Mining Review

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

When More References Hurt: Contamination-Aware DINOv2 Memory Banks for Few-Shot Steel Defect Detection