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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3,661 to 3,720 of 20,193

Neural Cages for Detail-Preserving 3D Deformations
Wang Yifan, Noam Aigerman, Vladimir G. Kim +2
cs.GRcs.CVcs.LGarXiv:1912.06395v22019
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto +2
cs.LGcs.AIarXiv:2110.02034v22021
Deep Learning without Weight Transport
Mohamed Akrout, Collin Wilson, Peter C. Humphreys +2
cs.LGstat.MLarXiv:1904.05391v52019
Fair Generative Modeling via Weak Supervision
Kristy Choi, Aditya Grover, Trisha Singh +2
cs.LGcs.CVstat.MLarXiv:1910.12008v22019
Android in the Zoo: Chain-of-Action-Thought for GUI Agents
Jiwen Zhang, Jihao Wu, Yihua Teng +5
cs.CLcs.CVcs.HCarXiv:2403.02713v22024
Learning Determinantal Point Processes
Alex Kulesza, Ben Taskar
cs.LGcs.AIstat.MLarXiv:1202.3738v12012
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
George Tsoukalas, Jasper Lee, John Jennings +5
cs.AIcs.CLcs.LGarXiv:2407.11214v22024
Batched Multi-armed Bandits Problem
Zijun Gao, Yanjun Han, Zhimei Ren +1
stat.MLcs.ITcs.LGarXiv:1904.01763v32019
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Minghao Xu, Xinyu Yuan, Santiago Miret +1
q-bio.BMcs.LGarXiv:2301.12040v22023
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci +3
cs.CVcs.LGarXiv:2106.09788v12021
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
cs.LGstat.MLarXiv:1703.03044v22017
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang, Hongyu Yang, Di Huang +1
cs.CVcs.LGarXiv:2303.09769v22023
Pufferfish Privacy Mechanisms for Correlated Data
Shuang Song, Yizhen Wang, Kamalika Chaudhuri
cs.LGcs.CRstat.MLarXiv:1603.03977v32016
Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
eess.SPcs.AIcs.LGarXiv:1901.05850v12019
Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming, Panpan Xu, Huamin Qu +1
cs.LGcs.HCstat.MLarXiv:1907.09728v12019
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang +4
cs.CVcs.AIcs.LGarXiv:2304.06027v22023
Measuring Compositionality in Representation Learning
Jacob Andreas
cs.LGcs.CLstat.MLarXiv:1902.07181v22019
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li, Tongliang Liu, Bo Han +2
cs.LGarXiv:2102.02400v42021
Discovering and Achieving Goals via World Models
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis +2
cs.LGcs.AIcs.CVarXiv:2110.09514v12021
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen +4
cs.CVcs.AIcs.GRarXiv:2303.05512v12023
FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models
Yalun Wu, Junfeng Fang, Jiawei Wang +6
cs.AIcs.LGarXiv:2609.04021v12026
QuRating: Selecting High-Quality Data for Training Language Models
Alexander Wettig, Aatmik Gupta, Saumya Malik +1
cs.CLcs.LGarXiv:2402.09739v32024
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
Muhammad Ashad Kabir, Sirajam Munira
cs.AIcs.LGarXiv:2609.04013v22026
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
Rishabh Iyer, Jeff A. Bilmes
cs.LGstat.MLarXiv:1408.2051v12014
Complex Query Answering with Neural Link Predictors
Erik Arakelyan, Daniel Daza, Pasquale Minervini +1
cs.LGcs.AIcs.LOarXiv:2011.03459v42020
Improper Learning for Non-Stochastic Control
Max Simchowitz, Karan Singh, Elad Hazan
cs.LGmath.OCstat.MLarXiv:2001.09254v32020
Data-driven Machinery Fault Diagnosis: A Comprehensive Review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley +1
cs.AIcs.LGarXiv:2405.18843v22024
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
cs.LGcs.AIcs.MAarXiv:1911.04175v12019
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
Georgios Politis, Evangelos Pappas
cs.CRcs.DCcs.LGarXiv:2609.04382v12026
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
Aaron J. Defazio, Tibério S. Caetano, Justin Domke
cs.LGstat.MLarXiv:1407.2710v12014
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang, Kaiyi Ji, Yingbin Liang
cs.LGmath.OCstat.MLarXiv:2106.04692v22021
Interface-Induced Trajectory Censoring
Wenbo Wang
cs.AIcs.LGarXiv:2609.03966v12026
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Anupam Gupta, Tomer Koren, Kunal Talwar
cs.LGstat.MLarXiv:1902.08647v22019
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov, Michael Figurnov, Dmitry Vetrov
stat.MLcs.LGarXiv:1806.02382v32018
COVID-19 Multidimensional Kaggle Literature Organization
Maksim E. Eren, Nick Solovyev, Chris Hamer +3
cs.LGcs.DLarXiv:2107.08190v22021
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
Pranab Sahoo, Prabhash Meharia, Akash Ghosh +3
cs.LGcs.AIcs.CLarXiv:2405.09589v42024
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp +2
cs.ROcs.AIcs.LGarXiv:1807.02303v52018
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan, Shuo Cheng, Wang-Cheng Kang +2
cs.IRcs.LGarXiv:1908.09972v12019
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz, Salman UH Dar, Mahmut Yurt +2
eess.IVcs.CVcs.LGarXiv:2105.08059v32021
Dive into Deep Learning
Aston Zhang, Zachary C. Lipton, Mu Li +1
cs.LGcs.AIcs.CLarXiv:2106.11342v52021
Summaries:한국어
Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
cs.AIcs.LGq-bio.QMarXiv:2307.06521v12023
Semantic Bayesian World Models
Tommaso Soru
cs.AIcs.DBcs.LGarXiv:2609.03834v12026
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan P. Losey, Ryan Tolsma +2
cs.ROcs.AIcs.LGarXiv:2011.06619v12020
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
Bonggun Shin, Sungsoo Park, Keunsoo Kang +1
cs.LGstat.MLarXiv:1908.06760v12019
Knowledge Matters: Importance of Prior Information for Optimization
Çağlar Gülçehre, Yoshua Bengio
cs.LGcs.CVcs.NEarXiv:1301.4083v62013
Early detection of sepsis utilizing deep learning on electronic health record event sequences
Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard +4
cs.LGstat.APstat.MLarXiv:1906.02956v12019
Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori +1
quant-phcs.LGarXiv:2008.03240v22020
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues +3
cs.CLcs.LGcs.SDarXiv:1904.13377v22019
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer
cs.LGstat.MLarXiv:2002.02730v22020
Stress Detection Using Wearable Physiological and Sociometric Sensors
Oscar Martinez Mozos, Virginia Sandulescu, Sally Andrews +4
cs.LGeess.SParXiv:2604.12746v12026
Learning Collaborative Policies to Solve NP-hard Routing Problems
Minsu Kim, Jinkyoo Park, Joungho Kim
cs.LGstat.MLarXiv:2110.13987v12021
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2106.07009v22021
Using Rough Set and Support Vector Machine for Network Intrusion Detection
Rung-Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
cs.LGcs.CRcs.NIarXiv:1004.0567v12010
Best sources forward: domain generalization through source-specific nets
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo +1
cs.CVcs.LGstat.MLarXiv:1806.05810v12018
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren, Tianyun Zhang, Shaokai Ye +5
cs.LGcs.AIcs.ARarXiv:1812.11677v12018
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
Zhuowan Li, Cheng Li, Mingyang Zhang +2
cs.CLcs.AIcs.LGarXiv:2407.16833v22024
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
Xiucheng Wang, Keda Tao, Nan Cheng +4
cs.LGeess.SYarXiv:2408.08593v32024
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics
Haoyang Liu, Keqin Liu, Qing Zhao
math.OCcs.LGmath.PRarXiv:1011.4969v22010
Classification vs regression in overparameterized regimes: Does the loss function matter?
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian +3
cs.LGcs.ITstat.MLarXiv:2005.08054v22020
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors
Dongqi Han, Zhiliang Wang, Ying Zhong +5
cs.CRcs.LGcs.NIarXiv:2005.07519v42020

Machine Learning

Neural Cages for Detail-Preserving 3D Deformations

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Deep Learning without Weight Transport

Fair Generative Modeling via Weak Supervision

Android in the Zoo: Chain-of-Action-Thought for GUI Agents

Learning Determinantal Point Processes

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

Batched Multi-armed Bandits Problem

ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts

Guided Integrated Gradients: An Adaptive Path Method for Removing Noise

A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Pufferfish Privacy Mechanisms for Correlated Data

Fast Deep Learning for Automatic Modulation Classification

Interpretable and Steerable Sequence Learning via Prototypes

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Measuring Compositionality in Representation Learning

Provably End-to-end Label-Noise Learning without Anchor Points

Discovering and Achieving Goals via World Models

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

QuRating: Selecting High-Quality Data for Training Language Models

LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening

Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications

Complex Query Answering with Neural Link Predictors

Improper Learning for Non-Stochastic Control

Data-driven Machinery Fault Diagnosis: A Comprehensive Review

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems

Provably Faster Algorithms for Bilevel Optimization

Interface-Induced Trajectory Censoring

Better Algorithms for Stochastic Bandits with Adversarial Corruptions

Variational Autoencoder with Arbitrary Conditioning

COVID-19 Multidimensional Kaggle Literature Organization

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

A survey on policy search algorithms for learning robot controllers in a handful of trials

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

Dive into Deep Learning

Artificial Intelligence for Drug Discovery: Are We There Yet?

Semantic Bayesian World Models

Learning Latent Representations to Influence Multi-Agent Interaction

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

Knowledge Matters: Importance of Prior Information for Optimization

Early detection of sepsis utilizing deep learning on electronic health record event sequences

Quantum State Tomography with Conditional Generative Adversarial Networks

Very Deep Self-Attention Networks for End-to-End Speech Recognition

Machine Unlearning: Linear Filtration for Logit-based Classifiers

Stress Detection Using Wearable Physiological and Sociometric Sensors

Learning Collaborative Policies to Solve NP-hard Routing Problems

Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images

Using Rough Set and Support Vector Machine for Network Intrusion Detection

Best sources forward: domain generalization through source-specific nets

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction

Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics

Classification vs regression in overparameterized regimes: Does the loss function matter?

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors