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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30,901 to 30,960 of 32,873

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
David Charte, Francisco Charte, Salvador García +2
cs.LGcs.NEarXiv:1801.01586v12018
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
cs.AIcs.LGcs.PLarXiv:1802.03691v32018
BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis
Massimo Rondelli, Francesco Pivi, Maurizio Gabbrielli
cs.CVcs.AIcs.GRarXiv:2605.00632v12026
Objects that Sound
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGcs.MMarXiv:1712.06651v22017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour +1
cs.NIcs.DBcs.LGarXiv:1712.04301v22017
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey, Graham W. Taylor, Shawki Areibi
cs.DCcs.LGstat.MLarXiv:1602.04283v12016
Over the Air Deep Learning Based Radio Signal Classification
Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
cs.LGeess.SParXiv:1712.04578v12017
Distributed Prioritized Experience Replay
Dan Horgan, John Quan, David Budden +4
cs.LGarXiv:1803.00933v12018
Automated Conjecture Resolution with Formal Verification
Haocheng Ju, Guoxiong Gao, Jiedong Jiang +13
cs.LGcs.AIarXiv:2604.03789v22026
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross, Finale Doshi-Velez
cs.LGcs.CRcs.CVarXiv:1711.09404v12017
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance DeVries, Graham W. Taylor
stat.MLcs.LGarXiv:1802.04865v12018
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu, Margarita Osadchy, Lorna Ashton +3
cs.LGstat.MLarXiv:1708.09022v12017
Summaries:한국어
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liška, Germán Kruszewski, Marco Baroni
cs.AIcs.LGcs.NEarXiv:1802.06467v22018
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse, Gregory D. Grant, David J. Freedman
cs.LGcs.AIq-bio.NCarXiv:1802.01569v22018
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel, Jilin Chen, Zhe Zhao +1
cs.LGcs.CYarXiv:1707.00075v22017
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
cs.CLcs.LGarXiv:1711.02173v22017
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge
Junhong Lin, Bing Zhang, Song Wang +4
cs.LGarXiv:2602.10210v12026
Graph is a Substrate Across Data Modalities
Ziming Li, Xiaoming Wu, Zehong Wang +6
cs.LGcs.AIarXiv:2601.22384v22026
A General Path-Based Representation for Predicting Program Properties
Uri Alon, Meital Zilberstein, Omer Levy +1
cs.PLcs.LGarXiv:1803.09544v32018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai, Naveen Suda, Vikas Chandra
cs.NEcs.LGcs.MSarXiv:1801.06601v12018
Look, Listen and Learn
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGarXiv:1705.08168v22017
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
Lei Tai, Jingwei Zhang, Ming Liu +1
cs.ROcs.AIcs.LGarXiv:1710.02543v22017
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
stat.MLcs.LGq-bio.BMarXiv:1712.07042v22017
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
cs.CVcs.LGcs.NEarXiv:1712.06087v12017
ThetaEvolve: Test-time Learning on Open Problems
Yiping Wang, Shao-Rong Su, Zhiyuan Zeng +13
cs.LGcs.CLarXiv:2511.23473v12025
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
Patrick Helber, Benjamin Bischke, Andreas Dengel +1
cs.CVcs.LGarXiv:1709.00029v22017
Neural Ranking Models with Weak Supervision
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn +2
cs.IRcs.CLcs.LGarXiv:1704.08803v22017
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
Chris Pedersen, Laure Zanna, Joan Bruna
cs.LGstat.MLarXiv:2503.18731v22025
Learning Sparse Neural Networks through $L_0$ Regularization
Christos Louizos, Max Welling, Diederik P. Kingma
stat.MLcs.LGarXiv:1712.01312v22017
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu, Yuxin Wu, Georgia Gkioxari +1
cs.LGcs.AIarXiv:1801.02209v22018
Model Extraction Warning in MLaaS Paradigm
Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya +1
cs.LGcs.CRcs.DCarXiv:1711.07221v12017
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji, Kenneth Heafield
cs.CLcs.DCcs.LGarXiv:1704.05021v22017
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.LGarXiv:1708.05344v12017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu +9
cs.CVcs.LGstat.MLarXiv:1711.05225v32017
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
stat.MLcs.LGarXiv:1705.06452v12017
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
Weixun Wang, Shaopan Xiong, Gengru Chen +38
cs.LGcs.DCarXiv:2506.06122v12025
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li, Ziwei Liu, Ping Luo +2
cs.CVcs.LGarXiv:1704.01344v12017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei, Yinzhi Cao, Junfeng Yang +1
cs.LGcs.CRcs.SEarXiv:1705.06640v42017
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, Sameer Singh
cs.LGcs.AIcs.CLarXiv:1710.11342v22017
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
stat.MLcs.CVcs.LGarXiv:1711.04340v32017
Label-driven weakly-supervised learning for multimodal deformable image registration
Yipeng Hu, Marc Modat, Eli Gibson +7
cs.CVcs.LGarXiv:1711.01666v22017
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre +1
cs.CLcs.AIcs.LGarXiv:1710.11041v22017
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui +2
cs.LGcs.AIcs.CVarXiv:1801.07648v22018
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia, Percy Liang
cs.CLcs.LGarXiv:1707.07328v12017
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
Hadi Amini, Md Jueal Mia, Yasaman Saadati +6
cs.CLcs.CVcs.DCarXiv:2503.16585v12025
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen +2
stat.MLcs.AIcs.LGarXiv:1703.03864v22017
A Note on the Inception Score
Shane Barratt, Rishi Sharma
stat.MLcs.LGarXiv:1801.01973v22018
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks
Dino Ienco, Raffaele Gaetano, Claire Dupaquier +1
cs.CVcs.LGarXiv:1704.04055v12017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James, Andrew J. Davison, Edward Johns
cs.ROcs.LGarXiv:1707.02267v22017
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Minkyu Jeon, Rishwanth Raghu, Miro Astore +6
cs.CVcs.AIcs.CEarXiv:2408.05526v22024
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
stat.MLcs.LGarXiv:1702.06832v12017
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo +3
cs.CVcs.LGarXiv:1711.09550v12017
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
cs.LGcs.AIstat.MLarXiv:1706.05098v12017
Deep Architectures for Modulation Recognition
Nathan E West, Timothy J. O'Shea
cs.LGarXiv:1703.09197v12017
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan +4
stat.MLcs.CLcs.LGarXiv:1706.03850v32017
On the Fundamental Impossibility of Hallucination Control in Large Language Models
Michał P. Karpowicz
stat.MLcs.AIcs.CLarXiv:2506.06382v82025
Time Limits in Reinforcement Learning
Fabio Pardo, Arash Tavakoli, Vitaly Levdik +1
cs.LGarXiv:1712.00378v42017
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
cs.LGcs.NEstat.MLarXiv:1708.08012v32017
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui +4
cs.CVcs.AIcs.CLarXiv:2403.13802v32024
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini, David Wagner
cs.LGcs.CRcs.CVarXiv:1705.07263v22017

Machine Learning

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

Tree-to-tree Neural Networks for Program Translation

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis

Objects that Sound

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

Deep Learning on FPGAs: Past, Present, and Future

Over the Air Deep Learning Based Radio Signal Classification

Distributed Prioritized Experience Replay

Automated Conjecture Resolution with Formal Verification

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution

Memorize or generalize? Searching for a compositional RNN in a haystack

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Synthetic and Natural Noise Both Break Neural Machine Translation

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge

Graph is a Substrate Across Data Modalities

A General Path-Based Representation for Predicting Program Properties

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Look, Listen and Learn

Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

"Zero-Shot" Super-Resolution using Deep Internal Learning

ThetaEvolve: Test-time Learning on Open Problems

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Neural Ranking Models with Weak Supervision

Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos

Learning Sparse Neural Networks through $L_0$ Regularization

Building Generalizable Agents with a Realistic and Rich 3D Environment

Model Extraction Warning in MLaaS Paradigm

Sparse Communication for Distributed Gradient Descent

SMASH: One-Shot Model Architecture Search through HyperNetworks

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Delving into adversarial attacks on deep policies

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Generating Natural Adversarial Examples

Data Augmentation Generative Adversarial Networks

Label-driven weakly-supervised learning for multimodal deformable image registration

Unsupervised Neural Machine Translation

Clustering with Deep Learning: Taxonomy and New Methods

Adversarial Examples for Evaluating Reading Comprehension Systems

Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

A Note on the Inception Score

Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM

Adversarial examples for generative models

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

An Overview of Multi-Task Learning in Deep Neural Networks

Deep Architectures for Modulation Recognition

Adversarial Feature Matching for Text Generation

On the Fundamental Impossibility of Hallucination Control in Large Language Models

Time Limits in Reinforcement Learning

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods