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.

Search paper metadata (including unsummarized papers)

15,841 to 15,900 of 20,199

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Chris Lu, Cong Lu, Robert Tjarko Lange +3
cs.AIcs.CLcs.LGarXiv:2408.06292v32024
Summaries:한국어
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
Federated Learning over Wireless Fading Channels
Mohammad Mohammadi Amiri, Deniz Gunduz
cs.ITcs.DCcs.LGarXiv:1907.09769v22019
XP-JEPA: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics
Kehan Wen, Ziming Li, Siyuan Luo +1
cs.LGarXiv:2608.24044v12026
GPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao +2
cs.CLcs.AIcs.HCarXiv:2304.02819v32023
Residual Gated Graph ConvNets
Xavier Bresson, Thomas Laurent
cs.LGstat.MLarXiv:1711.07553v22017
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample, Devendra Singh Chaplot
cs.AIcs.LGarXiv:1609.05521v22016
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
stat.MLcs.LGarXiv:1905.11001v52019
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux
cs.LGcs.AIstat.MEarXiv:2207.08815v12022
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki +5
cs.LGstat.MLarXiv:1707.04175v12017
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz +1
cs.NEcs.AIcs.LGarXiv:1603.06212v12016
Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement
Arthur Corrêa, Paulo Nascimento, Samuel Moniz
cs.LGarXiv:2608.24859v12026
Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO
Yiyang He, Zhichun Zhou, Ziwei Wang +2
cs.LGarXiv:2608.24488v12026
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
cs.LGcs.CVstat.MLarXiv:1812.05720v22018
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah, Ganesh Bikshandi, Ying Zhang +3
cs.LGcs.AIarXiv:2407.08608v22024
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi +5
cs.DCcs.LGarXiv:2101.06840v12021
Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning
Zhen Bi, Xueshu Chen, Yan Wang +6
cs.AIcs.CLcs.LGarXiv:2608.23982v12026
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
cs.LGcs.MAeess.SParXiv:2005.00935v12020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan +6
cs.CLcs.LGarXiv:2002.01808v52020
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Marti Monso, Yilun Du +3
cs.LGcs.CVcs.ROarXiv:2407.01392v42024

Machine Learning

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

Federated Learning over Wireless Fading Channels

XP-JEPA: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics

GPT detectors are biased against non-native English writers

Residual Gated Graph ConvNets

Playing FPS Games with Deep Reinforcement Learning

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

Why do tree-based models still outperform deep learning on tabular data?

Distral: Robust Multitask Reinforcement Learning

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement

Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

ZeRO-Offload: Democratizing Billion-Scale Model Training

Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion