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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16,081 to 16,140 of 20,454

Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.LGarXiv:1707.08945v52017
Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks
Itay Safran
cs.LGarXiv:2608.23877v12026
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu, Xingchao Liu, Xiaojie Jin +2
cs.LGcs.AIarXiv:2110.14048v22021
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
cs.LGarXiv:1711.10677v12017
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long +2
cs.LGcs.CVstat.MLarXiv:1804.06300v22018
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
cs.LGcs.SIeess.SParXiv:2007.02265v22020
Neural Processes
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum +4
cs.LGstat.MLarXiv:1807.01622v12018
Grad-CAM: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam +3
stat.MLcs.CVcs.LGarXiv:1611.07450v22016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels +2
cs.LGcs.AIstat.MLarXiv:1605.07079v22016
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2
cs.LGcs.AIcs.CVarXiv:1709.04905v12017
Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta
cs.CLcs.IRcs.LGarXiv:2006.03541v12020
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
cs.ROcs.CVcs.LGarXiv:1910.03088v12019
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
cs.CVcs.LGcs.ROarXiv:1804.01310v12018
Open-Vocabulary Object Detection Using Captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu +1
cs.CVcs.AIcs.LGarXiv:2011.10678v22020
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen +2
cs.LGcs.CLstat.MLarXiv:1903.04561v22019
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Zhengyuan Yang, Linjie Li, Jianfeng Wang +7
cs.CVcs.CLcs.LGarXiv:2303.11381v12023
From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers
Amit Kumar, Elnur Adl Zarabi, Suranjana Trivedy +4
cs.LGcs.AIstat.MEarXiv:2608.23660v12026
A Time Series Forest for Classification and Feature Extraction
Houtao Deng, George Runger, Eugene Tuv +1
cs.LGarXiv:1302.2277v22013
Provenance Guided Incremental Learning Under Evolving Concept Definitions
Ismail Lamaakal
cs.AIcs.LGarXiv:2608.23893v12026
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Chris Lu, Cong Lu, Robert Tjarko Lange +3
cs.AIcs.CLcs.LGarXiv:2408.06292v32024
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos +3
cs.ITcs.LGeess.SParXiv:2008.01459v22020
Can AI-Generated Text be Reliably Detected?
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian +2
cs.CLcs.AIcs.LGarXiv:2303.11156v42023
The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges
Avinash Raju, Kai Zhang
cs.LGcond-mat.stat-mecharXiv:2608.23916v12026
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Müller, Iñaki Soto-Rey, Frank Kramer
eess.IVcs.CVcs.LGarXiv:2202.05273v12022
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie +3
cs.LGarXiv:1709.06009v22017
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung, Olga Russakovsky, Greg Mori +1
cs.CVcs.LGarXiv:1511.06984v22015
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt +2
cs.LGarXiv:1611.01989v22016
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma, Radha Chitta, Jing Zhou +3
cs.LGarXiv:1706.05764v12017
GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization
Chia-Hong Chou, Katerina Potika
cs.LGarXiv:2608.23917v12026
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1805.06297v22018
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.CVcs.HCcs.LGarXiv:1608.04236v22016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Zeyuan Allen-Zhu
math.OCcs.DScs.LGarXiv:1603.05953v62016
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
cs.CVcs.AIcs.LGarXiv:2211.13218v22022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief, Yuanming Shi, Jianmin Lu +1
cs.ITcs.LGcs.NIarXiv:2111.12444v12021
Scalable agent alignment via reward modeling: a research direction
Jan Leike, David Krueger, Tom Everitt +3
cs.LGcs.AIcs.NEarXiv:1811.07871v12018
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun +1
cs.LGcs.CVstat.MLarXiv:1811.03233v22018
Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization
Sunhee Hwang
cs.LGcs.AIarXiv:2608.22820v12026
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci +6
cs.LGarXiv:2404.00456v22024
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis, Hao Peng, Charles Sutton
cs.LGcs.CLcs.SEarXiv:1602.03001v22016
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas Le Roux, Francis Bach
cs.LGmath.OCarXiv:1109.2415v22011
Towards Open World Object Detection
K J Joseph, Salman Khan, Fahad Shahbaz Khan +1
cs.CVcs.AIcs.LGarXiv:2103.02603v22021
Reliable Fidelity and Diversity Metrics for Generative Models
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh +2
cs.CVcs.LGstat.MLarXiv:2002.09797v22020
Lagrangian Neural Networks
Miles Cranmer, Sam Greydanus, Stephan Hoyer +3
cs.LGmath.DSphysics.comp-pharXiv:2003.04630v22020
Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman, Alexander M. Rush
cs.CLcs.LGcs.NEarXiv:1606.02960v22016
When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning
Hanqiu Peng, Jianlong Lu, Ying Chen
quant-phcs.LGarXiv:2608.24631v12026
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary
Ming Y. Lu, Melissa Zhao, Maha Shady +4
q-bio.TOcs.LGq-bio.QMarXiv:2006.13932v22020
DeepInf: Social Influence Prediction with Deep Learning
Jiezhong Qiu, Jian Tang, Hao Ma +3
cs.SIcs.LGarXiv:1807.05560v12018
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Zhiqiang Shen, Zhuang Liu, Jianguo Li +3
cs.CVcs.LGarXiv:1708.01241v22017
Zephyr: Direct Distillation of LM Alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert +11
cs.LGcs.CLarXiv:2310.16944v12023
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Liming Jiang, Ren Li, Wayne Wu +2
cs.CVcs.LGarXiv:2001.03024v22020
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
David Pfau, James S. Spencer, Alexander G. de G. Matthews +1
physics.chem-phcs.LGphysics.comp-pharXiv:1909.02487v32019
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani +3
cs.CVcs.LGeess.IVarXiv:2004.02696v22020
The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, Jason Lines +5
cs.LGstat.MLarXiv:1811.00075v12018
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
Fang Zhao, Yongzhen Huang, Liang Wang +1
cs.CVcs.LGarXiv:1501.06272v22015
Sequential operator learning under dependent data
Rafael Oliveira
stat.MLcs.LGarXiv:2608.24426v12026
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander M. Rush
cs.CLcs.LGarXiv:2005.07683v22020
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Sagar Vaze, Kai Han, Andrea Vedaldi +1
cs.CVcs.LGarXiv:2110.06207v22021
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Levi Melnick, Nicholas Frosst +4
cs.LGcs.AIstat.MLarXiv:2004.13912v22020
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1805.01956v12018
Learning to Optimize
Ke Li, Jitendra Malik
cs.LGcs.AImath.OCarXiv:1606.01885v12016

Machine Learning

Robust Physical-World Attacks on Deep Learning Models

Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks

Conflict-Averse Gradient Descent for Multi-task Learning

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Neural Processes

Grad-CAM: Why did you say that?

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

One-Shot Visual Imitation Learning via Meta-Learning

Sentiment Analysis Based on Deep Learning: A Comparative Study

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Open-Vocabulary Object Detection Using Captions

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers

A Time Series Forest for Classification and Feature Extraction

Provenance Guided Incremental Learning Under Evolving Concept Definitions

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

Can AI-Generated Text be Reliably Detected?

The Loss Floor of Denoising Score Matching: Fisher Geometry from Schrödinger Bridges

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

End-to-end Learning of Action Detection from Frame Glimpses in Videos

DeepCoder: Learning to Write Programs

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Katyusha: The First Direct Acceleration of Stochastic Gradient Methods

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Scalable agent alignment via reward modeling: a research direction

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

A Convolutional Attention Network for Extreme Summarization of Source Code

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Towards Open World Object Detection

Reliable Fidelity and Diversity Metrics for Generative Models

Lagrangian Neural Networks

Sequence-to-Sequence Learning as Beam-Search Optimization

When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary

DeepInf: Social Influence Prediction with Deep Learning

DSOD: Learning Deeply Supervised Object Detectors from Scratch

Zephyr: Direct Distillation of LM Alignment

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images

The UEA multivariate time series classification archive, 2018

Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

Sequential operator learning under dependent data

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Neural Additive Models: Interpretable Machine Learning with Neural Nets

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Learning to Optimize