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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3,601 to 3,660 of 20,153

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
Vivian Lai, Han Liu, Chenhao Tan
cs.HCcs.AIcs.CLarXiv:2001.05871v12020
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang, Zhanxing Zhu
cs.LGcs.CVstat.MLarXiv:1905.09797v12019
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Hyunsu Kim, Yunjey Choi, Junho Kim +2
cs.CVcs.LGarXiv:2104.14754v22021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri, Siliang Zeng, Mingyi Hong +3
math.OCcs.LGstat.MLarXiv:2102.07367v32021
Real-time high-resolution CO$_2$ geological storage prediction using nested Fourier neural operators
Gege Wen, Zongyi Li, Qirui Long +3
cs.LGphysics.flu-dynarXiv:2210.17051v22022
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea +3
cs.ROcs.AIcs.CVarXiv:2210.14222v12022
It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories
Yigit Utku Bulut
cs.LGcs.AIcs.CLarXiv:2609.03436v12026
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1
cs.LGcs.AIcs.MAarXiv:1907.05707v62019
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora, Simon S. Du, Zhiyuan Li +3
cs.LGstat.MLarXiv:1910.01663v32019
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Qianjiang Hu, Xiao Wang, Wei Hu +1
cs.LGcs.AIcs.CVarXiv:2011.08435v52020
Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface
Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1
cs.CRcs.AIcs.LGarXiv:2609.03420v12026
Causal Transformer for Estimating Counterfactual Outcomes
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
cs.LGstat.MLarXiv:2204.07258v22022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad, Peter Hase, Xiang Zhou +1
cs.CLcs.AIcs.LGarXiv:2203.07281v22022
Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet +4
stat.MLcs.LGarXiv:1806.08317v22018
Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints
Haoyaun Zhu, Jie Zhang
cs.AIcs.LGarXiv:2609.04198v12026
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff, Eric Vanden-Eijnden
stat.MLcond-mat.stat-mechcs.LGarXiv:1805.00915v32018
Music Generation by Deep Learning - Challenges and Directions
Jean-Pierre Briot, François Pachet
cs.SDcs.LGeess.ASarXiv:1712.04371v22017
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann, Martin Scherer, Tim Hempel +8
math.DScs.LGmath-pharXiv:2110.15013v22021
The Complexity of Constrained Min-Max Optimization
Constantinos Daskalakis, Stratis Skoulakis, Manolis Zampetakis
cs.CCcs.LGmath.OCarXiv:2009.09623v12020
Stochastic Variance Reduction Methods for Policy Evaluation
Simon S. Du, Jianshu Chen, Lihong Li +2
cs.LGcs.AIeess.SYarXiv:1702.07944v22017
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

Machine Learning

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans

Interpreting Adversarially Trained Convolutional Neural Networks

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

Real-time high-resolution CO$_2$ geological storage prediction using nested Fourier neural operators

PlanT: Explainable Planning Transformers via Object-Level Representations

It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

Causal Transformer for Estimating Counterfactual Outcomes

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Fashion-Gen: The Generative Fashion Dataset and Challenge

Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints

Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Music Generation by Deep Learning - Challenges and Directions

Deeptime: a Python library for machine learning dynamical models from time series data

The Complexity of Constrained Min-Max Optimization

Stochastic Variance Reduction Methods for Policy Evaluation

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