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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14,701 to 14,760 of 20,199

A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov, Chong Zhang, Sandhini Agarwal +5
cs.CLcs.LGarXiv:2208.03274v22022
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen, Or Sharir, Amnon Shashua
cs.NEcs.LGmath.NAarXiv:1509.05009v32015
What actually runs: a measurement study of language model placement and decode speed on the Apple Neural Engine
Shahir M A
cs.LGcs.ARcs.PFarXiv:2608.22110v12026
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li
cs.LGcs.AIarXiv:0807.1997v42008
Focal Frequency Loss for Image Reconstruction and Synthesis
Liming Jiang, Bo Dai, Wayne Wu +1
cs.CVcs.LGeess.IVarXiv:2012.12821v32020
A quantum-inspired classical algorithm for recommendation systems
Ewin Tang
cs.IRcs.DScs.LGarXiv:1807.04271v32018
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto, H. Francis Song, Jack W. Rae +10
cs.LGcs.AIstat.MLarXiv:1910.06764v12019
Cognitive Architectures for Language Agents
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan +1
cs.AIcs.CLcs.LGarXiv:2309.02427v32023
Dataset Condensation with Distribution Matching
Bo Zhao, Hakan Bilen
cs.LGcs.CVarXiv:2110.04181v32021
More Experts, Worse Dynamics: Inverse Scaling and Spectral Bias in Mixture-of-Experts State-Space Models
Chandresh Pandey
cs.LGarXiv:2608.21840v12026
The Communication Map of a Transformer
Richard Zhe Wang
cs.LGcs.CLarXiv:2608.22007v12026
Beyond Fixed Directions: Adaptive Representation Analysis of Reasoning and Memorization in LLMs
Shaheen Nabi
cs.LGarXiv:2608.21919v12026
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad, Ju-Chieh Chou, Karen Livescu
cs.CLcs.LGeess.ASarXiv:2107.04734v32021
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan +10
cs.LGcs.CLstat.MLarXiv:1806.11532v22018
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
cs.CVcs.AIcs.CLarXiv:2208.04202v22022
Learning Factored Representations in a Deep Mixture of Experts
David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
cs.LGarXiv:1312.4314v32013
Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al-Rfou, Bryan Perozzi, Steven Skiena
cs.CLcs.LGarXiv:1307.1662v22013
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot, Patrick McDaniel, Ananthram Swami +1
cs.CRcs.LGcs.NEarXiv:1604.08275v12016
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao, Xiang Zhang, Suhang Wang
cs.LGarXiv:2103.08826v12021
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
Giuseppe Ateniese, Giovanni Felici, Luigi V. Mancini +3
cs.CRcs.LGstat.MLarXiv:1306.4447v12013
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini, Hieu Pham, Quoc V. Le +7
cs.LGcs.AIarXiv:1706.04972v22017
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
stat.MLcs.LGarXiv:1810.11953v42018
One Thousand and One Hours: Self-driving Motion Prediction Dataset
John Houston, Guido Zuidhof, Luca Bergamini +6
cs.CVcs.LGcs.ROarXiv:2006.14480v22020
Discovering Dual-Origin Slow Wind from Solar Orbiter with Self-Supervised Contrastive Learning
Henry Han, Jorge Yero Salazar
astro-ph.SRcs.AIcs.LGarXiv:2608.22065v12026
Quasi-Dense Similarity Learning for Multiple Object Tracking
Jiangmiao Pang, Linlu Qiu, Xia Li +4
cs.CVcs.LGarXiv:2006.06664v42020
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos, Max Welling
stat.MLcs.LGarXiv:1703.01961v22017
GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval
Surya Saka
cs.LGcs.AIcs.CLarXiv:2608.24936v12026
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Hila Chefer, Shir Gur, Lior Wolf
cs.CVcs.LGarXiv:2103.15679v12021
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine, Paul Vicol, David Duvenaud
cs.LGstat.MLarXiv:1911.02590v12019
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
cs.LGcs.CVstat.MLarXiv:2204.02937v22022
A Survey on Graph Kernels
Nils M. Kriege, Fredrik D. Johansson, Christopher Morris
cs.LGstat.MLarXiv:1903.11835v22019
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich, Thomas Scialom, Omer Levy +1
cs.CLcs.AIcs.LGarXiv:2212.09689v12022
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
Muhammad Farooq, Abdul Hafeez
eess.IVcs.CVcs.LGarXiv:2003.14395v12020
No More Pesky Learning Rates
Tom Schaul, Sixin Zhang, Yann LeCun
stat.MLcs.LGarXiv:1206.1106v22012
Two-branch Recurrent Network for Isolating Deepfakes in Videos
Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas +2
cs.CVcs.CYcs.LGarXiv:2008.03412v32020
Mitigating Explanation Leakage in Financial Fraud Detection Systems
Muhammad Waleed Gul, Elaheh Homayounvala
cs.LGcs.CRarXiv:2608.22607v12026
From Symmetry to Invariance: Learning Galois Equivalent Representations in Finite Fields
Zheng Zhang, Na Zhang
cs.LGarXiv:2608.22513v12026
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang, Heesu Kim, YoungJoon Yoo +2
cs.CVcs.LGarXiv:2103.17230v12021
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan, Ruiqi Hu, Guodong Long +3
cs.LGstat.MLarXiv:1802.04407v22018
When Test-Time Adaptation Helps, Harms, or Becomes Inactive: A Condition-Level Study on CIFAR-10-C
Sreeja Guha Majumdar, Aratrika Saha
cs.LGcs.CVarXiv:2608.22233v12026
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang, Hao Chen, Qiang Heng +9
cs.LGcs.CVarXiv:2205.07246v32022
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
Fatih Cagatay Akyon, Sinan Onur Altinuc, Alptekin Temizel
cs.CVcs.LGarXiv:2202.06934v52022
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan, Kevin McGuinness, Elisa Sayrol +2
cs.CVcs.LGarXiv:1603.00845v12016
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
cs.CLcs.LGcs.NEarXiv:1702.00887v32017
Convolutional neural networks with low-rank regularization
Cheng Tai, Tong Xiao, Yi Zhang +2
cs.LGcs.CVstat.MLarXiv:1511.06067v32015
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman, Andrew Ilyas, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2007.08489v22020
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Georgios Kissas, Yibo Yang, Eileen Hwuang +3
cs.LGstat.MLarXiv:1905.04817v22019
Multi-Agent Cooperation and the Emergence of (Natural) Language
Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni
cs.CLcs.CVcs.GTarXiv:1612.07182v22016
Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques, Jack Valmadre +2
cs.CVcs.LGarXiv:1606.05233v12016
Does a Modern-Handwriting Warm-Up Help Historical Arabic OCR? A Reproducible, Compute-Matched Evaluation on Muharaf and KHATT
Sumaih Almarshad, Maram Alamri, Dona Aloraini +4
cs.LGcs.CVarXiv:2608.22316v12026
Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma +2
cs.CVcs.AIcs.LGarXiv:2101.06742v12021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu +3
cs.LGcs.CVcs.DCarXiv:2106.05001v22021
Counterfactual Evaluation of Temporal Observation Protocols
Xizhe Zhang
cs.LGarXiv:2608.22221v12026
KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget
Ahmed Abolfadl
cs.CRcs.AIcs.LGarXiv:2608.22389v12026
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Yi Ding +4
cs.LGstat.MLarXiv:1910.03225v42019
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
cs.LGcs.CRstat.MLarXiv:1807.01647v22018
Explaining Neural Scaling Laws
Yasaman Bahri, Ethan Dyer, Jared Kaplan +2
cs.LGcond-mat.dis-nnstat.MLarXiv:2102.06701v22021
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell
cs.LGarXiv:2311.16863v32023
Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma, Shixiang Gu, Sergey Levine +2
cs.LGcs.ROstat.MLarXiv:1907.01657v22019
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou, Kailas Vodrahalli, Roberto A Novoa +16
eess.IVcs.AIcs.CVarXiv:2203.08807v12022

Machine Learning

A Holistic Approach to Undesired Content Detection in the Real World

On the Expressive Power of Deep Learning: A Tensor Analysis

What actually runs: a measurement study of language model placement and decode speed on the Apple Neural Engine

Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples

Focal Frequency Loss for Image Reconstruction and Synthesis

A quantum-inspired classical algorithm for recommendation systems

Stabilizing Transformers for Reinforcement Learning

Cognitive Architectures for Language Agents

Dataset Condensation with Distribution Matching

More Experts, Worse Dynamics: Inverse Scaling and Spectral Bias in Mixture-of-Experts State-Space Models

The Communication Map of a Transformer

Beyond Fixed Directions: Adaptive Representation Analysis of Reasoning and Memorization in LLMs

Layer-wise Analysis of a Self-supervised Speech Representation Model

TextWorld: A Learning Environment for Text-based Games

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Learning Factored Representations in a Deep Mixture of Experts

Polyglot: Distributed Word Representations for Multilingual NLP

Crafting Adversarial Input Sequences for Recurrent Neural Networks

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers

Device Placement Optimization with Reinforcement Learning

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

One Thousand and One Hours: Self-driving Motion Prediction Dataset

Discovering Dual-Origin Slow Wind from Solar Orbiter with Self-Supervised Contrastive Learning

Quasi-Dense Similarity Learning for Multiple Object Tracking

Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

Optimizing Millions of Hyperparameters by Implicit Differentiation

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

A Survey on Graph Kernels

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

No More Pesky Learning Rates

Two-branch Recurrent Network for Isolating Deepfakes in Videos

Mitigating Explanation Leakage in Financial Fraud Detection Systems

From Symmetry to Invariance: Learning Galois Equivalent Representations in Finite Fields

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Adversarially Regularized Graph Autoencoder for Graph Embedding

When Test-Time Adaptation Helps, Harms, or Becomes Inactive: A Condition-Level Study on CIFAR-10-C

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Shallow and Deep Convolutional Networks for Saliency Prediction

Structured Attention Networks

Convolutional neural networks with low-rank regularization

Do Adversarially Robust ImageNet Models Transfer Better?

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

Multi-Agent Cooperation and the Emergence of (Natural) Language

Learning feed-forward one-shot learners

Does a Modern-Handwriting Warm-Up Help Historical Arabic OCR? A Reproducible, Compute-Matched Evaluation on Muharaf and KHATT

Deep Parametric Continuous Convolutional Neural Networks

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

Counterfactual Evaluation of Temporal Observation Protocols

KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget

NGBoost: Natural Gradient Boosting for Probabilistic Prediction

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences

Explaining Neural Scaling Laws

Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Dynamics-Aware Unsupervised Discovery of Skills

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set