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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1,501 to 1,560 of 20,199

EmbraceNet: A robust deep learning architecture for multimodal classification
Jun-Ho Choi, Jong-Seok Lee
cs.LGstat.MLarXiv:1904.09078v12019
Exploring LLM-based Agents for Root Cause Analysis
Devjeet Roy, Xuchao Zhang, Rashi Bhave +4
cs.SEcs.CLcs.LGarXiv:2403.04123v12024
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
cs.LGcs.DScs.ITarXiv:1504.07218v22015
Lifted Rule Injection for Relation Embeddings
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
cs.LGcs.AIcs.CLarXiv:1606.08359v22016
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arnab Ghosh, Richard Zhang, Puneet K. Dokania +4
cs.CVcs.LGeess.IVarXiv:1909.11081v22019
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E, Chao Ma, Lei Wu
stat.MLcs.LGmath.STarXiv:1810.06397v32018
Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ye Yuan, Kris Kitani
cs.CVcs.AIcs.LGarXiv:1906.03173v22019
Support vector machines on the D-Wave quantum annealer
Dennis Willsch, Madita Willsch, Hans De Raedt +1
cs.LGquant-phstat.MLarXiv:1906.06283v32019
Thompson Sampling for Non-Monotone Convex Ridge Bandits: Monotonicity Is Not Needed for Polynomial Regret
Xuan Li
cs.LGarXiv:2609.10981v12026
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie, Wei Huang, Lorenzo Bucci +2
cs.LGstat.MLarXiv:1907.12972v32019
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang, Shaofeng Zou
cs.LGarXiv:2109.14523v22021
EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale
Ege C. Kaya, Abolfazl Hashemi
cs.LGcs.AImath.OCarXiv:2609.10980v12026
Phases in a class of associative memories via hidden neurons
Toshihiro Ota, Masato Taki
cs.LGcond-mat.dis-nncs.NEarXiv:2609.10976v12026
The Big Data Bootstrap
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar +1
cs.LGstat.MLarXiv:1206.6415v12012
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang, Hao Chen, Yue Fan +19
cs.LGcs.AIcs.CVarXiv:2208.07204v22022
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
cs.LGcs.NEstat.MLarXiv:1711.05772v22017
Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning
Shaddin Dughmi, Alireza F. Pour
cs.LGstat.MLarXiv:2609.10886v12026
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
Paul Saves, Remi Lafage, Nathalie Bartoli +6
cs.LGcs.MSmath.OCarXiv:2305.13998v52023
Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao, Sewoong Oh, Pramod Viswanath
cs.LGcs.ITstat.MLarXiv:1604.03006v22016
Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations
Tong Li, Saunak Kumar Panda, Yisha Xiang
cs.LGmath.OCarXiv:2609.10866v12026
DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction
Yingfan Xu, Tieming Liu, Ye Liang
cs.LGcs.SEarXiv:2609.10796v12026
RiVaT-Fuse: Reliability-Calibrated Variational Tensor Fusion for Multimodal Prediction under Modality Uncertainty
Yingfan Xu, Tieming Liu, Ye Liang +1
cs.LGcs.CVarXiv:2609.10798v12026
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
cs.CVcs.LGarXiv:2206.09500v12022
Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables
Yasin Ibrahim, Hermione Warr, Robin J. Evans +1
cs.LGcs.AIarXiv:2609.10778v12026
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan, Yongyi Guo, Kaizheng Wang
stat.MLcs.LGmath.OCarXiv:1906.04870v22019
A Bellman Optimality Equation for Plasticity
Jeremy Lucas, Doina Precup
cs.LGarXiv:2609.10776v12026
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
Yi Han, Shanika Karunasekera, Christopher Leckie
cs.SIcs.LGarXiv:2007.03316v22020
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
Yandan Yang, Baoxiong Jia, Peiyuan Zhi +1
cs.CVcs.AIcs.LGarXiv:2404.09465v22024
Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry
Mo Zhou, Weihang Xu, Simon S. Du +1
cs.LGstat.MLarXiv:2609.10879v12026
Isotropic PCA and Affine-Invariant Clustering
S. Charles Brubaker, Santosh S. Vempala
cs.LGcs.CGarXiv:0804.3575v22008
Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig +1
cs.CLcs.LGstat.MLarXiv:1808.08493v12018
Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu +2
cs.LGcs.CVarXiv:2106.10410v22021
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao, Wei Du, Fangqi Li +2
cs.LGcs.AIcs.CRarXiv:2208.12268v32022
Flow Duality and Source Geometry for Categorical Generation
Etrit Haxholli
cs.LGstat.MLarXiv:2609.10863v12026
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang +5
cs.CLcs.LGarXiv:2412.11376v12024
Processing and classifying bird songs using wavelet techniques and supervised learning
Laura Lucia Dominguez Barrios, Fidel Aniano Causil Barrios, Alex Rodrigo dos Santos Sousa +1
cs.LGstat.MEarXiv:2609.10826v12026
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan +4
cs.ROcs.AIcs.LGarXiv:1910.02812v12019
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Romain Lopez, Achille Nazaret, Maxime Langevin +4
cs.LGq-bio.GNstat.MLarXiv:1905.02269v12019
Mind Reader: Reconstructing complex images from brain activities
Sikun Lin, Thomas Sprague, Ambuj K Singh
q-bio.NCcs.CVcs.HCarXiv:2210.01769v12022
From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs
Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang +1
cs.LGarXiv:2609.10781v12026
Column Networks for Collective Classification
Trang Pham, Truyen Tran, Dinh Phung +1
cs.LGcs.AIstat.MLarXiv:1609.04508v22016
Conformal PID Control for Time Series Prediction
Anastasios N. Angelopoulos, Emmanuel J. Candes, Ryan J. Tibshirani
cs.LGeess.SYstat.MEarXiv:2307.16895v12023
Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors
Samuel B. Hopkins, Tselil Schramm, Jonathan Shi +1
cs.DScs.CCcs.LGarXiv:1512.02337v22015
Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
Manisha Kandel
cs.LGcs.AIarXiv:2609.10752v12026
Federated Learning Meets Multi-objective Optimization
Zeou Hu, Kiarash Shaloudegi, Guojun Zhang +1
cs.LGstat.MLarXiv:2006.11489v22020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
cs.LGstat.MLarXiv:2007.11091v22020
Sum-of-Squares Polynomial Flow
Priyank Jaini, Kira A. Selby, Yaoliang Yu
cs.LGstat.MLarXiv:1905.02325v22019
The emergence of clusters in self-attention dynamics
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy +1
cs.LGmath.APstat.MLarXiv:2305.05465v62023
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang, Mingyang Yi, Xuyang Zhao +1
cs.LGcs.AIcs.CVarXiv:2111.00743v42021
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
stat.MLcs.LGarXiv:1705.10470v32017
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn +1
cs.LGmath.OCstat.MLarXiv:1802.08249v22018
GeoDA: a geometric framework for black-box adversarial attacks
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard +1
cs.CVcs.CRcs.LGarXiv:2003.06468v12020
Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
cs.LGstat.MLarXiv:1902.03045v12019
Conformal Calibration Transfer
Achref Doula
cs.LGstat.MLarXiv:2609.10737v12026
GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models
Xuan Cuong Ngo, Hao Vo, Ngan Le
cs.LGarXiv:2609.10658v12026
Improving Multimodal Datasets with Image Captioning
Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco +2
cs.LGcs.CVarXiv:2307.10350v22023
Byzantine-Robust Federated Fire Detection with a Rotating Coordinator
Georgia Argyrou, Aymen Bahrouny, Hedi Fendriy +1
cs.LGarXiv:2609.10647v12026
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1910.14356v22019
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio +3
cs.LGarXiv:2206.03126v12022
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
George Michalopoulos, Yuanxin Wang, Hussam Kaka +2
cs.CLcs.AIcs.LGarXiv:2010.10391v52020

Machine Learning

EmbraceNet: A robust deep learning architecture for multimodal classification

Exploring LLM-based Agents for Root Cause Analysis

Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons

Lifted Rule Injection for Relation Embeddings

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

A Priori Estimates of the Population Risk for Two-layer Neural Networks

Ego-Pose Estimation and Forecasting as Real-Time PD Control

Support vector machines on the D-Wave quantum annealer

Thompson Sampling for Non-Monotone Convex Ridge Bandits: Monotonicity Is Not Needed for Polynomial Regret

Transferability of Spectral Graph Convolutional Neural Networks

Online Robust Reinforcement Learning with Model Uncertainty

EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

Phases in a class of associative memories via hidden neurons

The Big Data Bootstrap

USB: A Unified Semi-supervised Learning Benchmark for Classification

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes

Demystifying Fixed k-Nearest Neighbor Information Estimators

Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction

RiVaT-Fuse: Reliability-Calibrated Variational Tensor Fusion for Multimodal Prediction under Modality Uncertainty

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors

Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Communication-Efficient Accurate Statistical Estimation

A Bellman Optimality Equation for Plasticity

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI

Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

Isotropic PCA and Affine-Invariant Clustering

Contextual Parameter Generation for Universal Neural Machine Translation

Deep Generative Learning via Schrödinger Bridge

FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

Flow Duality and Source Geometry for Categorical Generation

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Processing and classifying bird songs using wavelet techniques and supervised learning

Policies Modulating Trajectory Generators

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

Mind Reader: Reconstructing complex images from brain activities

From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs

Column Networks for Collective Classification

Conformal PID Control for Time Series Prediction

Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification

Federated Learning Meets Multi-objective Optimization

EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL

Sum-of-Squares Polynomial Flow

The emergence of clusters in self-attention dynamics

Towards the Generalization of Contrastive Self-Supervised Learning

Iterative Machine Teaching

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

GeoDA: a geometric framework for black-box adversarial attacks

Partial Label Learning with Self-Guided Retraining

Conformal Calibration Transfer

GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models

Improving Multimodal Datasets with Image Captioning

Byzantine-Robust Federated Fire Detection with a Rotating Coordinator

Certifiable Robustness to Graph Perturbations

Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse

UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus