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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33,541 to 33,600 of 33,644

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi +4
cs.LGcs.CRcs.CVarXiv:1804.00792v22018
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
cs.LGstat.MLarXiv:1709.05206v12017
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
cs.LGstat.MLarXiv:2001.03994v12020
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik, Monica Agrawal, Jure Leskovec
cs.LGq-bio.MNstat.MLarXiv:1802.00543v22018
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds
Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2
cs.IRcs.LGcs.PLarXiv:2605.18827v12026
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon, Juan Pablo Bello
cs.SDcs.CVcs.LGarXiv:1608.04363v22016
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
cs.CVcs.LGarXiv:1301.3666v22013
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu, Chiyuan Zhang +1
cs.LGarXiv:1604.06174v22016
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han +4
cs.LGcs.AIcs.CLarXiv:2211.01910v22022
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik +1
cs.LGarXiv:1611.02167v32016
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang +4
cs.LGcs.AIeess.SParXiv:2202.07125v52022
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang +1
cs.CVcs.LGarXiv:1904.07392v12019
Deep Reinforcement Learning: An Overview
Yuxi Li
cs.LGarXiv:1701.07274v62017
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
cs.LGstat.MLarXiv:1901.03407v22019
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont +6
cs.CVcs.CLcs.LGarXiv:2111.02114v12021
GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis
Haochen Zhang, Gengwei Zhang, Laura Yao +2
cs.CLcs.LGarXiv:2608.13741v12026
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Challenges in Representation Learning: A report on three machine learning contests
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25
stat.MLcs.LGarXiv:1307.0414v12013
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.01838v12026
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
Georgios Tsoumplekas, Stella Bounareli, Vasileios Argyriou
cs.CVcs.LGarXiv:2606.03792v12026
Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang +2
cs.LGstat.MLarXiv:1809.09401v32018
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gomez +5
cs.NEcs.LGarXiv:1606.04474v22016
European Union regulations on algorithmic decision-making and a "right to explanation"
Bryce Goodman, Seth Flaxman
stat.MLcs.CYcs.LGarXiv:1606.08813v32016
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4
cs.CLcs.AIcs.LGarXiv:1703.03130v12017
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang +2
cs.CLcs.AIcs.LGarXiv:2310.11511v12023
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
cs.AIcs.LGstat.MLarXiv:1710.03740v32017
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Zequn Xie, Junjie Wang, Dan Yang +4
cs.LGcs.AIarXiv:2606.07074v12026
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis +7
cs.CLcs.LGarXiv:1912.06670v22019
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
cs.LGcs.AIarXiv:1609.05473v62016
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui +3
cs.LGcs.AIarXiv:2010.13902v32020
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
Shigui Li, Delu Zeng
cs.LGarXiv:2607.17972v12026
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics
Mingyu Li, Guorui Song, Jing Lin +1
cs.LGarXiv:2608.17162v12026
ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection
Aleksandr Konovalov, Anna Uporova, Alexander Drobyshev +2
cs.SIcs.AIcs.LGarXiv:2608.16906v12026
ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems
Rakesh Sharma, Sydney Pugh, Cameron Beeche +14
cs.MAcs.AIcs.LGarXiv:2608.15424v12026
Sufficient Dimesion Reduction via Generalized Stein's Lemma
Ye Tian
stat.MLcs.LGstat.MEarXiv:2608.15121v12026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1803.01271v22018
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray +3
cs.ROcs.LGarXiv:1703.06907v12017
Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia
Xiang Guan, Roger D. Newman-Norlund, Yong Yang +8
cs.LGcs.CLarXiv:2608.12717v12026
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
Hojun Choi, Jaeyo Shin, Suin Lee +1
cs.AIcs.CVcs.LGarXiv:2608.11616v22026
Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts
Taewook Kang, Taeheon Kim, Donghyun Shin +1
cs.ROcs.CVcs.LGarXiv:2607.00666v12026
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
cs.CYcs.LGarXiv:2003.08119v22020
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
cs.LGcs.CVcs.NEarXiv:1511.00363v32015
Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman
eess.SPcs.LGarXiv:2608.14633v12026

Machine Learning

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

LSTM Fully Convolutional Networks for Time Series Classification

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Taskonomy: Disentangling Task Transfer Learning

Fast is better than free: Revisiting adversarial training

Modeling polypharmacy side effects with graph convolutional networks

Large-Scale Long-Tailed Recognition in an Open World

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Training Large Language Models to Predict Clinical Events

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Zero-Shot Learning Through Cross-Modal Transfer

Training Deep Nets with Sublinear Memory Cost

Large Language Models Are Human-Level Prompt Engineers

Designing Neural Network Architectures using Reinforcement Learning

Minimalist Visual Inertial Odometry

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Generating Videos with Scene Dynamics

Transformers in Time Series: A Survey

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Deep Reinforcement Learning: An Overview

Deep Learning for Anomaly Detection: A Survey

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Challenges in Representation Learning: A report on three machine learning contests

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting

Hypergraph Neural Networks

Learning to learn by gradient descent by gradient descent

European Union regulations on algorithmic decision-making and a "right to explanation"

A Structured Self-attentive Sentence Embedding

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Continual Learning with Deep Generative Replay

Mixed Precision Training

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

Big Self-Supervised Models are Strong Semi-Supervised Learners

Common Voice: A Massively-Multilingual Speech Corpus

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Self-training with Noisy Student improves ImageNet classification

Graph Contrastive Learning with Augmentations

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics

ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection

ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems

Sufficient Dimesion Reduction via Generalized Stein's Lemma

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia

MBA: Multimodal Benchmark and Agents for Real-World Business Ideation

Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts

The Future of Digital Health with Federated Learning

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck