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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3,001 to 3,060 of 20,193

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
cs.LGcs.AImath.OCarXiv:2010.02068v42020
Understanding and Improving Knowledge Distillation
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao +4
cs.LGcs.AIstat.MLarXiv:2002.03532v22020
TransDreamer: Reinforcement Learning with Transformer World Models
Chang Chen, Yi-Fu Wu, Jaesik Yoon +1
cs.LGarXiv:2202.09481v22022
Is Power-Seeking AI an Existential Risk?
Joseph Carlsmith
cs.CYcs.AIcs.LGarXiv:2206.13353v22022
Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction
Lihui Liu
cs.LGcs.AIarXiv:2609.06367v12026
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck +1
cs.CVcs.LGstat.MLarXiv:1904.02632v12019
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikołaj Bińkowski, Gautier Marti, Philippe Donnat
cs.LGarXiv:1703.04122v42017
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens
Rafael Valle, Jason Li, Ryan Prenger +1
cs.SDcs.LGeess.ASarXiv:1910.11997v12019
Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search
Tuan Dam
cs.LGcs.AIarXiv:2609.06489v12026
Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
Tuan Dam
cs.LGcs.AIarXiv:2609.06484v12026
ExBody2: Advanced Expressive Humanoid Whole-Body Control
Mazeyu Ji, Xuanbin Peng, Fangchen Liu +4
cs.ROcs.AIcs.LGarXiv:2412.13196v22024
Model-Based Domain Generalization
Alexander Robey, George J. Pappas, Hamed Hassani
stat.MLcs.AIcs.LGarXiv:2102.11436v52021
The Benchmark Lottery
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko +5
cs.LGcs.AIcs.CLarXiv:2107.07002v12021
On BatchNorm Forward Modes in Value-Based Reinforcement Learning
Daniel Palenicek, Mikael Henaff, Scott Fujimoto +1
cs.LGcs.AIarXiv:2609.06421v12026
Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried
cs.CLcs.AIcs.CVarXiv:2301.13823v42023
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation
Abdolrahman Peimankar, Sadasivan Puthusserypady
cs.LGeess.SPstat.MLarXiv:2005.08689v12020
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde, Tobias Schumacher, Markus Strohmaier +1
cs.LGarXiv:2305.06329v42023
Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering
Zeyu Lin, Chaoqi Jia, Longkun Guo +1
cs.LGcs.AIarXiv:2609.06384v12026
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez +1
cs.CRcs.LGarXiv:1907.07212v22019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Yulong Cao, Chaowei Xiao, Dawei Yang +4
cs.CRcs.CVcs.LGarXiv:1907.05418v12019
Recovering Weak Signals with Normalizing Flows
Sarod Yatawatta
stat.MLastro-ph.COastro-ph.IMarXiv:2609.06382v12026
Learning to Evaluate Image Captioning
Yin Cui, Guandao Yang, Andreas Veit +2
cs.CVcs.LGarXiv:1806.06422v12018
Exploring Model-based Planning with Policy Networks
Tingwu Wang, Jimmy Ba
cs.LGcs.AIcs.ROarXiv:1906.08649v12019
Grounding Language with Visual Affordances over Unstructured Data
Oier Mees, Jessica Borja-Diaz, Wolfram Burgard
cs.ROcs.AIcs.CLarXiv:2210.01911v32022
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.CLcs.AIcs.LGarXiv:2102.13019v32021
All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs
Zhixiong Zhao, Zukang Xu, Guangyu Sun +2
cs.LGcs.AIarXiv:2609.06161v12026
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi +1
cs.LGcs.AIcs.IRarXiv:2312.10325v22023
Subdivision-Based Mesh Convolution Networks
Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo +4
cs.CVcs.GRcs.LGarXiv:2106.02285v22021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Jiajun Chen, Huarui He, Feng Wu +1
cs.LGcs.CLarXiv:2103.03642v12021
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
cs.LGarXiv:1708.00088v12017
Decision-Aware Suffix Prediction and Reasoning of Business Processes
Henryk Mustroph, Stefanie Rinderle-Ma
cs.LGcs.AIarXiv:2609.06169v12026
Instance-Conditioned GAN
Arantxa Casanova, Marlène Careil, Jakob Verbeek +2
cs.CVcs.LGarXiv:2109.05070v22021
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms
Guy Bresler, Elchanan Mossel, Allan Sly
cs.CCcs.LGarXiv:0712.1402v22007
Contrastive Predictive Coding for Human Activity Recognition
Harish Haresamudram, Irfan Essa, Thomas Ploetz
cs.LGarXiv:2012.05333v12020
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu, Connor W. Coley
cs.LGarXiv:2110.09681v12021
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
cs.LGstat.MLarXiv:1901.10514v32019
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky +1
stat.MLcs.LGarXiv:2006.10160v62020
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.CRstat.MLarXiv:1903.07054v22019
Fairness-aware Agnostic Federated Learning
Wei Du, Depeng Xu, Xintao Wu +1
cs.LGcs.CYarXiv:2010.05057v12020
Stable Learning via Sample Reweighting
Zheyan Shen, Peng Cui, Tong Zhang +1
cs.LGstat.MLarXiv:1911.12580v12019
Machine learning of hierarchical clustering to segment 2D and 3D images
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag +2
cs.CVcs.LGarXiv:1303.6163v32013
Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He +3
cs.CLcs.LGstat.MLarXiv:1902.10245v12019
What the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark
Seyed Mosayeb Alam
cs.CLcs.AIcs.LGarXiv:2609.06147v12026
Online Learning for Time Series Prediction
Oren Anava, Elad Hazan, Shie Mannor +1
cs.LGarXiv:1302.6927v12013
POCO: Point Convolution for Surface Reconstruction
Alexandre Boulch, Renaud Marlet
cs.CVcs.CGcs.LGarXiv:2201.01831v22022
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang, James Cheng, Yuanyuan Liu +2
cs.LGcs.CVmath.OCarXiv:1810.05186v12018
Summaries:한국어
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng +3
cs.LGcs.DCcs.PFarXiv:1903.05898v32019
Summaries:한국어
An Information-Theoretic Approach to Transferability in Task Transfer Learning
Yajie Bao, Yang Li, Shao-Lun Huang +4
cs.LGcs.CVarXiv:2212.10082v12022
Simple and Effective Text Matching with Richer Alignment Features
Runqi Yang, Jianhai Zhang, Xing Gao +2
cs.CLcs.LGarXiv:1908.00300v12019
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari +2
cs.LGcs.AIcs.CLarXiv:2009.10847v12020
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar +5
cs.LGstat.MLarXiv:2002.06226v12020
Understanding Machine-learned Density Functionals
Li Li, John C. Snyder, Isabelle M. Pelaschier +6
physics.chem-phcs.LGphysics.comp-pharXiv:1404.1333v22014
A Generalization of Amari's Bayesian Duality
Mohammad Emtiyaz Khan, Thomas Möllenhoff
cs.AIcs.LGstat.MLarXiv:2609.09126v12026
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015
AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification
Nafisa Anjum, Satavisa Dey Borno, Ananna Saha +4
cs.CVcs.AIcs.LGarXiv:2609.06359v12026
Dynamical Regimes of Diffusion Models
Giulio Biroli, Tony Bonnaire, Valentin de Bortoli +1
cs.LGcond-mat.stat-mecharXiv:2402.18491v12024
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Ohad Shamir
cs.LGmath.NAmath.OCarXiv:1409.2848v52014
Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression
Anjaneya Teja Sarma Kalvakolanu
cs.LGcs.AIcs.NEarXiv:2609.06341v12026
L4GM: Large 4D Gaussian Reconstruction Model
Jiawei Ren, Kevin Xie, Ashkan Mirzaei +8
cs.CVcs.LGarXiv:2406.10324v12024
Zipformer: A faster and better encoder for automatic speech recognition
Zengwei Yao, Liyong Guo, Xiaoyu Yang +6
eess.AScs.LGcs.SDarXiv:2310.11230v42023

Machine Learning

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows

Understanding and Improving Knowledge Distillation

TransDreamer: Reinforcement Learning with Transformer World Models

Is Power-Seeking AI an Existential Risk?

Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction

A Learned Representation for Scalable Vector Graphics

Autoregressive Convolutional Neural Networks for Asynchronous Time Series

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search

Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing

ExBody2: Advanced Expressive Humanoid Whole-Body Control

Model-Based Domain Generalization

The Benchmark Lottery

On BatchNorm Forward Modes in Value-Based Reinforcement Learning

Grounding Language Models to Images for Multimodal Inputs and Outputs

DENS-ECG: A Deep Learning Approach for ECG Signal Delineation

Similarity of Neural Network Models: A Survey of Functional and Representational Measures

Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Recovering Weak Signals with Normalizing Flows

Learning to Evaluate Image Captioning

Exploring Model-based Planning with Policy Networks

Grounding Language with Visual Affordances over Unstructured Data

Investigating the Limitations of Transformers with Simple Arithmetic Tasks

All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Subdivision-Based Mesh Convolution Networks

Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs

Learning Algorithms for Active Learning

Decision-Aware Suffix Prediction and Reasoning of Business Processes

Instance-Conditioned GAN

Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms

Contrastive Predictive Coding for Human Activity Recognition

Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction

Hyperspherical Prototype Networks

Matérn Gaussian processes on Riemannian manifolds

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Fairness-aware Agnostic Federated Learning

Stable Learning via Sample Reweighting

Machine learning of hierarchical clustering to segment 2D and 3D images

Non-Autoregressive Machine Translation with Auxiliary Regularization

What the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark

Online Learning for Time Series Prediction

POCO: Point Convolution for Surface Reconstruction

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors

An Information-Theoretic Approach to Transferability in Task Transfer Learning

Simple and Effective Text Matching with Richer Alignment Features

Message Passing for Hyper-Relational Knowledge Graphs

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Understanding Machine-learned Density Functionals

A Generalization of Amari's Bayesian Duality

Toxicity Prediction using Deep Learning

AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification

Dynamical Regimes of Diffusion Models

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate

Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression

L4GM: Large 4D Gaussian Reconstruction Model

Zipformer: A faster and better encoder for automatic speech recognition