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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2,041 to 2,100 of 20,192

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann, Katrin Renz, Kashyap Chitta +2
cs.ROcs.CVcs.LGarXiv:2204.13683v12022
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation
Xuan Kan, Hejie Cui, Joshua Lukemire +2
cs.LGcs.NEeess.IVarXiv:2205.12465v22022
Encrypt What Matters: When Selective Homomorphic Inference Is Efficient
Ali Backour, Juan Reyes, Jaime Punyed +1
cs.CRcs.LGarXiv:2609.09357v12026
Space-time Mixing Attention for Video Transformer
Adrian Bulat, Juan-Manuel Perez-Rua, Swathikiran Sudhakaran +2
cs.CVcs.AIcs.LGarXiv:2106.05968v22021
TINYCD: A (Not So) Deep Learning Model For Change Detection
Andrea Codegoni, Gabriele Lombardi, Alessandro Ferrari
cs.CVcs.LGeess.IVarXiv:2207.13159v22022
Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System
Alex Leytes
cs.AIcs.CYcs.LGarXiv:2609.10350v12026
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Bo Yang, Sen Wang, Andrew Markham +1
cs.CVcs.AIcs.LGarXiv:1808.00758v22018
Globally-Robust Neural Networks
Klas Leino, Zifan Wang, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:2102.08452v22021
Real-time and adaptive anomaly detection algorithm for cyclostationary models
Justyna Witulska, Tomasz Barszcz, Ireneusz Jabłoński +1
stat.MEcs.LGarXiv:2609.09326v12026
Training CNNs with Low-Rank Filters for Efficient Image Classification
Yani Ioannou, Duncan Robertson, Jamie Shotton +2
cs.CVcs.LGcs.NEarXiv:1511.06744v32015
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
Seongsik Park, Seijoon Kim, Byunggook Na +1
cs.NEcs.LGstat.MLarXiv:2003.11741v12020
Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
cs.LGstat.MLarXiv:1205.2628v12012
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao, Xingjian Shi, Boran Han +6
cs.LGcs.AIcs.CVarXiv:2307.10422v22023
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Anirudh Avireddy, Manmeet Singh, Shivanshi Singh +4
physics.ao-phcs.LGarXiv:2609.09247v12026
Neural Adaptive Sequential Monte Carlo
Shixiang Gu, Zoubin Ghahramani, Richard E. Turner
cs.LGstat.MLarXiv:1506.03338v32015
Rethinking floating point for deep learning
Jeff Johnson
math.NAcs.LGarXiv:1811.01721v12018
Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study
Haoran Yu, Lifei Liu, Danping Zhang
cs.SEcs.LGarXiv:2609.09235v12026
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng, Zhengying Liu, Enze Xie +2
cs.CLcs.LGarXiv:2304.09797v62023
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design
Lumin Liu, Jun Zhang, Shenghui Song +1
cs.LGarXiv:2103.14272v22021
A positive resolution of the gap-entropy conjecture
P. M. Aronow, Nathan Kallus, Patrick Lopatto
cs.LGstat.MLarXiv:2609.10529v12026
A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
Huan Qing
stat.MLcs.LGstat.MEarXiv:2609.09211v12026
Efficient Dataset Distillation Using Random Feature Approximation
Noel Loo, Ramin Hasani, Alexander Amini +1
cs.LGcs.AIcs.NEarXiv:2210.12067v12022
"Transforming" LHCb: self-supervised maps of heavy-flavour decays
Marko Stamenkovic, Greg Landsberg
hep-excs.LGarXiv:2609.09275v12026
Tensor Network Moral Graph Recovery of Discrete Probability Distributions
Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2
stat.MLcs.ITcs.LGarXiv:2609.09258v12026
Robust and fine-grained prosody control of end-to-end speech synthesis
Younggun Lee, Taesu Kim
cs.CLcs.LGcs.SDarXiv:1811.02122v22018
CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs
Meher Chaitanya, Cameron Musco, Aristides Gionis
stat.MLcs.LGmath.NAarXiv:2609.09255v12026
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Zhibin Lu, Pan Du, Jian-Yun Nie
cs.CLcs.LGstat.MLarXiv:2004.05707v12020
Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
Margarita Veshchezerova, Egor Barashov, Evgenii Gusev +4
physics.geo-phcs.LGarXiv:2609.09246v12026
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan +2
stat.MLcs.LGcs.SIarXiv:1909.07578v12019
Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning
Saurbh Singh Jamwal, Nived Chebrolu
cs.ROcs.LGarXiv:2609.09234v12026
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong +9
cs.LGcs.AIstat.MLarXiv:2403.03950v12024
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Pascal Germain, Alexandre Lacasse, François Laviolette +2
stat.MLcs.LGarXiv:1503.08329v22015
Deep Variational Canonical Correlation Analysis
Weiran Wang, Xinchen Yan, Honglak Lee +1
cs.LGarXiv:1610.03454v32016
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Jeff Zhang, Tianyu Gu, Kanad Basu +1
cs.LGcs.ARcs.CVarXiv:1802.04657v22018
Scalable Constrained Bayesian Optimization
David Eriksson, Matthias Poloczek
cs.LGcs.AIstat.MLarXiv:2002.08526v32020
Data-free Backdoor Removal based on Channel Lipschitzness
Runkai Zheng, Rongjun Tang, Jianze Li +1
cs.LGcs.CRarXiv:2208.03111v22022
Training Trajectories Determine Circuit Removability in Annealable Soft-Prior Transformers
Zonglin Yang, Ziming Zhao, Wei Tang +5
cs.LGcs.NEarXiv:2609.10287v12026
An Exponential Deterministic--Randomized Gap in ERM-Oracle Complexity for Thresholds on an Unknown Order
Xuan Li
cs.LGstat.MLarXiv:2609.10196v12026
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
Youssef Chaabouni, David Gamarnik
stat.MLcs.ITcs.LGarXiv:2509.01809v22025
Improving Adversarial Robustness of Ensembles with Diversity Training
Sanjay Kariyappa, Moinuddin K. Qureshi
stat.MLcs.LGarXiv:1901.09981v12019
Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
Menachem Finkelstein, Diana Legziel Levy, Zohar Yakhini +1
cs.LGquant-pharXiv:2609.10505v12026
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt +6
cs.LGcs.AIstat.MLarXiv:2006.13365v52020
CovidAID: COVID-19 Detection Using Chest X-Ray
Arpan Mangal, Surya Kalia, Harish Rajgopal +4
eess.IVcs.CVcs.LGarXiv:2004.09803v12020
Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2
cs.LGeess.SParXiv:2609.10490v12026
Lung Sound Classification Using Co-tuning and Stochastic Normalization
Truc Nguyen, Franz Pernkopf
eess.AScs.LGcs.SDarXiv:2108.01991v12021
Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification
Weifeng Yang
cs.LGmath.FAarXiv:2609.10487v12026
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Emmanuel Abbe, Enric Boix-Adsera, Theodor Misiakiewicz
cs.LGstat.MLarXiv:2302.11055v22023
A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out
Mahdi Naser Moghadasi, Faezeh Ghaderi
cs.LGarXiv:2609.10357v12026
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Di Hu, Rui Qian, Minyue Jiang +5
cs.CVcs.LGcs.MMarXiv:2010.05466v12020
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh +1
cs.AIcs.LGstat.MLarXiv:1502.03919v22015
View-Structured Conformal Prediction for 3D Gaussian Splatting
Junzheng Chu, Bin Pan, Zhenwei Shi
cs.LGcs.CVarXiv:2609.10307v12026
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn, Henry Zhu, Kristian Hartikainen +4
cs.ROcs.LGstat.MLarXiv:1909.11639v32019
Periodic Graph Transformers for Crystal Material Property Prediction
Keqiang Yan, Yi Liu, Yuchao Lin +1
cs.LGarXiv:2209.11807v12022
A Dominant Diffuse Phase in the Sparse Autoencoder Phase Diagram
Alexis D. Plascencia
cs.LGarXiv:2609.10299v12026
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Drew A. Hudson, Christopher D. Manning
cs.CLcs.AIcs.CVarXiv:1902.09506v32019
Robust Beam Prediction for V2X Networks with Multi-Modal Sensing
Chen Shang, Dinh Thai Hoang, Diep N. Nguyen +1
cs.LGarXiv:2609.10200v12026
Conditional Generation Net for Medication Recommendation
Rui Wu, Zhaopeng Qiu, Jiacheng Jiang +2
cs.LGarXiv:2202.06588v22022
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Luyao Tang, Jiewei Zheng, Kunze Huang +3
cs.LGarXiv:2609.10158v12026
Accountable and uncertainty-aware evaluation of sensor-based AI under distribution shift: devices, subjects, and nearly three years underground
Benny Platte, Rico Thomanek, Christian Roschke +1
cs.LGstat.MEstat.MLarXiv:2609.09257v12026
Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse
Heng Zhu, Ye Liu, Kun Zhu +1
cs.LGcs.NIeess.IVarXiv:2609.10112v12026

Machine Learning

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

Space-time Mixing Attention for Video Transformer

TINYCD: A (Not So) Deep Learning Model For Change Detection

Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction

Globally-Robust Neural Networks

Real-time and adaptive anomaly detection algorithm for cyclostationary models

Training CNNs with Low-Rank Filters for Efficient Image Classification

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Multiple Source Adaptation and the Renyi Divergence

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling

Neural Adaptive Sequential Monte Carlo

Rethinking floating point for deep learning

Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study

Progressive-Hint Prompting Improves Reasoning in Large Language Models

Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design

A positive resolution of the gap-entropy conjecture

A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation

Efficient Dataset Distillation Using Random Feature Approximation

"Transforming" LHCb: self-supervised maps of heavy-flavour decays

Tensor Network Moral Graph Recovery of Discrete Probability Distributions

Robust and fine-grained prosody control of end-to-end speech synthesis

CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai

Stacking Models for Nearly Optimal Link Prediction in Complex Networks

Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm

Deep Variational Canonical Correlation Analysis

Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator

Scalable Constrained Bayesian Optimization

Data-free Backdoor Removal based on Channel Lipschitzness

Training Trajectories Determine Circuit Removability in Annealable Soft-Prior Transformers

An Exponential Deterministic--Randomized Gap in ERM-Oracle Complexity for Thresholds on an Unknown Order

The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements

Improving Adversarial Robustness of Ensembles with Diversity Training

Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

CovidAID: COVID-19 Detection Using Chest X-Ray

Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

Lung Sound Classification Using Co-tuning and Stochastic Normalization

Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification

SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics

A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out

Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching

Policy Gradient for Coherent Risk Measures

View-Structured Conformal Prediction for 3D Gaussian Splatting

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots

Periodic Graph Transformers for Crystal Material Property Prediction

A Dominant Diffuse Phase in the Sparse Autoencoder Phase Diagram

GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Robust Beam Prediction for V2X Networks with Multi-Modal Sensing

Conditional Generation Net for Medication Recommendation

CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization

Accountable and uncertainty-aware evaluation of sensor-based AI under distribution shift: devices, subjects, and nearly three years underground

Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse