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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3,301 to 3,360 of 20,454

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
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang +2
cs.LGarXiv:1606.06630v22016
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
cs.ITcs.LGcs.NIarXiv:2011.10282v42020
Pre-training via Paraphrasing
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh +3
cs.CLcs.LGstat.MLarXiv:2006.15020v12020
Delay and Cooperation in Nonstochastic Bandits
Nicolo' Cesa-Bianchi, Claudio Gentile, Yishay Mansour +1
cs.LGarXiv:1602.04741v22016
Towards Adversarially Robust Object Detection
Haichao Zhang, Jianyu Wang
cs.CVcs.LGeess.IVarXiv:1907.10310v12019
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan, Xiao Wang, Yanhu Mo +2
cs.LGcs.AIarXiv:2209.14107v12022
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Zequn Sun, Jiacheng Huang, Wei Hu +3
cs.AIcs.CLcs.LGarXiv:2004.13579v12020
Deep Unknown Intent Detection with Margin Loss
Ting-En Lin, Hua Xu
cs.CLcs.LGarXiv:1906.00434v12019
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang, Wenhu Chen, Yuan-Fang Wang +1
cs.CLcs.AIcs.CVarXiv:1804.09160v22018
Active Adversarial Domain Adaptation
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn +3
cs.CVcs.LGarXiv:1904.07848v22019
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:1711.06929v12017
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2202.10448v22022
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
cs.LGcs.AIcs.CVarXiv:2110.01442v12021
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
Shashank Subramanian, Peter Harrington, Kurt Keutzer +4
cs.LGmath.NAarXiv:2306.00258v12023
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Ruobin Gao, Liang Du, P. N. Suganthan +2
cs.LGcs.AIeess.SParXiv:2107.14385v12021
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
cs.ROcs.AIcs.LGarXiv:1907.04799v22019
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?
Yuqiao Tan, Shizhu He, Jun Zhao +1
cs.AIcs.CLcs.LGarXiv:2609.09113v12026
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021
LLM Critics Help Catch LLM Bugs
Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe +3
cs.SEcs.LGarXiv:2407.00215v12024
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019
Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference
Muhammad Adnan, Akhil Arunkumar, Gaurav Jain +3
cs.LGcs.AIcs.ARarXiv:2403.09054v22024
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan, Wenhong Tian, Rajkumar Buyya
cs.DCcs.LGarXiv:2105.05079v12021
Overview frequency principle/spectral bias in deep learning
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo
cs.LGarXiv:2201.07395v42022

Machine Learning

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

On Multiplicative Integration with Recurrent Neural Networks

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach

Pre-training via Paraphrasing

Delay and Cooperation in Nonstochastic Bandits

Towards Adversarially Robust Object Detection

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

Deep Unknown Intent Detection with Margin Loss

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

Active Adversarial Domain Adaptation

Deep Gaussian Mixture Models

Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

Protein sequence design with deep generative models

LLM Critics Help Catch LLM Bugs

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

Overview frequency principle/spectral bias in deep learning