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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9,361 to 9,420 of 20,193

Directional Graph Networks
Dominique Beaini, Saro Passaro, Vincent Létourneau +3
cs.LGcs.CGcs.SIarXiv:2010.02863v42020
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe, Holger Schwenk
cs.CLcs.AIcs.LGarXiv:1811.01136v22018
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
cs.LGcs.CRstat.MLarXiv:2006.08265v22020
TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models
Apoorva Kulkarni, Kaousheik Jayakumar, Sreyan Ghosh +3
cs.SDcs.AIcs.LGarXiv:2608.29999v12026
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Matthias Hein, Thomas Bühler
cs.LGmath.OCstat.MLarXiv:1012.0774v12010
Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment
Lutz Oettershagen, Honglian Wang, Aristides Gionis
cs.LGcs.SIarXiv:2608.29635v12026
You Only Need Adversarial Supervision for Semantic Image Synthesis
Vadim Sushko, Edgar Schönfeld, Dan Zhang +3
cs.CVcs.LGeess.IVarXiv:2012.04781v32020
Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs
Miriam Kranzlmüller, Pascal Esser, Gitta Kutyniok
cs.LGarXiv:2608.29869v12026
A Survey of Machine Learning for Computer Architecture and Systems
Nan Wu, Yuan Xie
cs.LGcs.ARarXiv:2102.07952v22021
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri +3
cs.CVcs.LGcs.MMarXiv:1601.06615v12016
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
Daniel Michelsanti, Zheng-Hua Tan
eess.AScs.LGcs.SDarXiv:1709.01703v22017
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou +2
cs.LGstat.MLarXiv:2008.12987v12020
Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$
Adam Roberts, Hyung Won Chung, Anselm Levskaya +40
cs.LGcs.CLarXiv:2203.17189v12022
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon, Regev Cohen, Yi Zhang +5
cs.LGeess.SPstat.MLarXiv:1811.08252v12018
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi, Jiaxin Chen, Wenlong Zhang +2
cs.LGcs.CVarXiv:2111.01549v22021
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Nina Varney, Vijayan K. Asari, Quinn Graehling
cs.CVcs.LGstat.MLarXiv:2004.11985v12020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Qingfeng Lan, Yangchen Pan, Alona Fyshe +1
cs.LGcs.AIarXiv:2002.06487v22020
Intensity-Free Learning of Temporal Point Processes
Oleksandr Shchur, Marin Biloš, Stephan Günnemann
cs.LGstat.MLarXiv:1909.12127v22019
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
Zhenyu Zhao, Radhika Anand, Mallory Wang
stat.MLcs.LGarXiv:1908.05376v12019
Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
Salim Khazem, Ibrahim Mohamed Serouis
cs.LGcs.AIcs.CVarXiv:2609.00374v12026
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Adnan Qayyum, Muhammad Usama, Junaid Qadir +1
cs.LGcs.CRstat.MLarXiv:1905.12762v12019
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Tao Shen, Zhihang Hu, Siqi Sun +14
q-bio.QMcs.LGq-bio.BMarXiv:2207.01586v32022
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Sahar Abdelnabi, Mario Fritz
cs.CRcs.CLcs.CYarXiv:2009.03015v22020
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
Jiarui Lu, Thomas Holleis, Yizhe Zhang +9
cs.CLcs.AIcs.LGarXiv:2408.04682v22024
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang, Seunghoon Hong, Yunseok Jang +2
cs.LGstat.MLarXiv:1901.09024v12019
What Do Compressed Deep Neural Networks Forget?
Sara Hooker, Aaron Courville, Gregory Clark +2
cs.LGcs.AIcs.CVarXiv:1911.05248v32019
Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion
Runyu Zhang, Jiawei Zhang, Gioele Zardini +2
cs.LGcs.AImath.OCarXiv:2608.29507v12026
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe +13
cs.LGcs.CVeess.IVarXiv:2008.06388v42020
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You, Daniel P. Robinson, Rene Vidal
cs.CVcs.LGstat.MLarXiv:1507.01238v32015
Between-class Learning for Image Classification
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada
cs.LGcs.CVstat.MLarXiv:1711.10284v22017
Explainable artificial intelligence model to predict acute critical illness from electronic health records
Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen +5
cs.AIcs.LGstat.AParXiv:1912.01266v12019
Fooling End-to-end Speaker Verification by Adversarial Examples
Felix Kreuk, Yossi Adi, Moustapha Cisse +1
cs.LGcs.CLarXiv:1801.03339v22018
Diverse Few-Shot Text Classification with Multiple Metrics
Mo Yu, Xiaoxiao Guo, Jinfeng Yi +6
cs.CLcs.LGarXiv:1805.07513v12018
RetinaTrack: Online Single Stage Joint Detection and Tracking
Zhichao Lu, Vivek Rathod, Ronny Votel +1
cs.CVcs.LGeess.IVarXiv:2003.13870v12020
Truly Proximal Policy Optimization
Yuhui Wang, Hao He, Chao Wen +1
cs.LGcs.AIstat.MLarXiv:1903.07940v22019
Detecting Deep-Fake Videos from Appearance and Behavior
Shruti Agarwal, Tarek El-Gaaly, Hany Farid +1
cs.CVcs.LGcs.MMarXiv:2004.14491v12020
Hybrid Recommender System based on Autoencoders
Florian Strub, Romaric Gaudel, Jérémie Mary
cs.LGcs.IRarXiv:1606.07659v32016
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès +2
cs.LGarXiv:2004.11127v22020
Veridical Data Science
Bin Yu, Karl Kumbier
stat.MLcs.LGarXiv:1901.08152v52019
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
Tri Huynh, Simon Kornblith, Matthew R. Walter +2
cs.CVcs.LGarXiv:2011.11765v22020
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
cs.LGstat.MLarXiv:1809.02630v22018
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo, Chuxu Zhang, Wenhao Yu +4
cs.LGcs.SIarXiv:2102.07916v12021
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu, Yunpu Ma, Marcel Hildebrandt +2
cs.LGcs.AIarXiv:2112.08025v22021
Higher-Order Factorization Machines
Mathieu Blondel, Akinori Fujino, Naonori Ueda +1
stat.MLcs.LGarXiv:1607.07195v22016
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han, Weinan E
cs.LGcs.AIcs.NEarXiv:1611.07422v12016
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe, Konstantin Berlin
cs.CRcs.LGarXiv:1702.08568v12017
Sentence-State LSTM for Text Representation
Yue Zhang, Qi Liu, Linfeng Song
cs.CLcs.LGstat.MLarXiv:1805.02474v12018
TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain
Kai Wang, Bengbeng He, Wei-Ping Zhu
eess.AScs.LGcs.SDarXiv:2103.09963v12021
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson
cs.LGstat.MLarXiv:1606.01141v32016
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp +6
cs.LGcs.CLcs.CVarXiv:2212.05055v22022
Stochastic Variance Reduction Methods for Saddle-Point Problems
P Balamurugan, Francis Bach
cs.LGmath.OCarXiv:1605.06398v22016
Semantic Adversarial Examples
Hossein Hosseini, Radha Poovendran
cs.CVcs.AIcs.LGarXiv:1804.00499v12018
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
Yinan He, Bei Gan, Siyu Chen +6
cs.CVcs.LGarXiv:2103.05630v22021
Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis, Tian Li, Virginia Smith
cs.LGarXiv:2103.00697v22021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu +1
cs.LGstat.MLarXiv:2110.03753v32021
A cost function for similarity-based hierarchical clustering
Sanjoy Dasgupta
cs.DScs.LGstat.MLarXiv:1510.05043v12015
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows
Hamidreza Eivazi, Hadi Veisi, Mohammad Hossein Naderi +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2007.00936v32020
An Introduction to Probabilistic Programming
Jan-Willem van de Meent, Brooks Paige, Hongseok Yang +1
stat.MLcs.AIcs.LGarXiv:1809.10756v22018
Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
Giorgio Visani, Enrico Bagli, Federico Chesani +2
cs.LGcs.AIstat.MLarXiv:2001.11757v22020
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Xiangyu Song, Jianxin Li, Qi Lei +3
cs.LGcs.CYarXiv:2201.09020v12022

Machine Learning

Directional Graph Networks

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models

An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA

Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment

You Only Need Adversarial Supervision for Semantic Image Synthesis

Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs

A Survey of Machine Learning for Computer Architecture and Systems

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes

Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound

Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Intensity-Free Learning of Temporal Point Processes

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

Accurate RNA 3D structure prediction using a language model-based deep learning approach

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities

Diversity-Sensitive Conditional Generative Adversarial Networks

What Do Compressed Deep Neural Networks Forget?

Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Between-class Learning for Image Classification

Explainable artificial intelligence model to predict acute critical illness from electronic health records

Fooling End-to-end Speaker Verification by Adversarial Examples

Diverse Few-Shot Text Classification with Multiple Metrics

RetinaTrack: Online Single Stage Joint Detection and Tracking

Truly Proximal Policy Optimization

Detecting Deep-Fake Videos from Appearance and Behavior

Hybrid Recommender System based on Autoencoders

Kernel Operations on the GPU, with Autodiff, without Memory Overflows

Veridical Data Science

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

Few-Shot Graph Learning for Molecular Property Prediction

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Higher-Order Factorization Machines

Deep Learning Approximation for Stochastic Control Problems

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys

Sentence-State LSTM for Text Representation

TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

On Valid Optimal Assignment Kernels and Applications to Graph Classification

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

Stochastic Variance Reduction Methods for Saddle-Point Problems

Semantic Adversarial Examples

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Heterogeneity for the Win: One-Shot Federated Clustering

From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

A cost function for similarity-based hierarchical clustering

Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows

An Introduction to Probabilistic Programming

Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing