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)

14,641 to 14,700 of 20,218

Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami, Adva Wolf, Da-Cheng Juan +3
cs.LGcs.AIcs.CLarXiv:2005.00545v12020
Evaluation of Text Generation: A Survey
Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao
cs.CLcs.LGarXiv:2006.14799v22020
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
cs.LGmath.OCstat.MLarXiv:1704.00708v12017
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
Naveen Arivazhagan, Ankur Bapna, Orhan Firat +10
cs.CLcs.LGarXiv:1907.05019v12019
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang +1
cs.CVcs.LGarXiv:2001.08735v32020
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski, Nicholas Carlini, David Berthelot +2
cs.LGcs.CRstat.MLarXiv:1909.01838v22019
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang, Stefanie Jegelka
stat.MLcs.LGmath.OCarXiv:1703.01968v32017
Hyperparameter Search in Machine Learning
Marc Claesen, Bart De Moor
cs.LGstat.MLarXiv:1502.02127v22015
Teacher-Student Curriculum Learning
Tambet Matiisen, Avital Oliver, Taco Cohen +1
cs.LGcs.AIarXiv:1707.00183v22017
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen, Weiping Xie, Wenbing Huang +5
cs.CVcs.LGarXiv:1811.08585v22018
Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang +1
cs.CVcs.AIcs.LGarXiv:1906.03609v12019
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen, Sinho Chewi, Jerry Li +3
cs.LGmath.STarXiv:2209.11215v32022
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar, Jason Lee, Daniel Soudry +1
cs.LGstat.MLarXiv:1806.00468v22018
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez +1
eess.IVcs.AIcs.CVarXiv:2402.05975v12024
Algorithms to estimate Shapley value feature attributions
Hugh Chen, Ian C. Covert, Scott M. Lundberg +1
cs.LGcs.GTarXiv:2207.07605v12022
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Zhen Qin, Rolf Jagerman, Kai Hui +9
cs.IRcs.CLcs.LGarXiv:2306.17563v22023
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca, Emanuele Rossi, Davide Eynard +3
cs.LGstat.MLarXiv:2004.11198v32020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen, Cory Cornelius, Jason Martin +1
cs.CVcs.CRcs.LGarXiv:1804.05810v32018
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeek-AI, Qihao Zhu, Daya Guo +37
cs.SEcs.AIcs.LGarXiv:2406.11931v12024
Are we done with ImageNet?
Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov +2
cs.CVcs.LGarXiv:2006.07159v12020
Measuring the Effects of Data Parallelism on Neural Network Training
Christopher J. Shallue, Jaehoon Lee, Joseph Antognini +3
cs.LGstat.MLarXiv:1811.03600v32018
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian +5
cs.CLcs.AIcs.CVarXiv:2305.13172v32023
SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian +3
cs.LGmath.OCstat.MLarXiv:1901.09401v42019
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li, Xixiang Lyu, Nodens Koren +3
cs.LGcs.AIarXiv:2110.11571v32021
LipNet: End-to-End Sentence-level Lipreading
Yannis M. Assael, Brendan Shillingford, Shimon Whiteson +1
cs.LGcs.CLcs.CVarXiv:1611.01599v22016
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig, Yonatan Belinkov
cs.CLcs.LGstat.MLarXiv:1906.04284v22019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters, Sebastian Ruder, Noah A. Smith
cs.CLcs.LGarXiv:1903.05987v22019
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze +1
cs.CVcs.LGarXiv:1906.06423v42019
Variational Intrinsic Control
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
cs.LGcs.AIarXiv:1611.07507v12016
Algorithms for Verifying Deep Neural Networks
Changliu Liu, Tomer Arnon, Christopher Lazarus +3
cs.LGstat.MLarXiv:1903.06758v22019
Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani, Yair Carmon, John C. Duchi +3
math.OCcs.ITcs.LGarXiv:1912.02365v22019
Retrosynthetic reaction prediction using neural sequence-to-sequence models
Bowen Liu, Bharath Ramsundar, Prasad Kawthekar +7
cs.LGq-bio.QMstat.MLarXiv:1706.01643v12017
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz, Michael Flynn, Anthony Bagnall
cs.LGstat.MLarXiv:2007.13156v22020
Reinforced Self-Training (ReST) for Language Modeling
Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan +11
cs.CLcs.LGarXiv:2308.08998v22023
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Qiang Huang, Makoto Yamada, Yuan Tian +3
cs.LGstat.MLarXiv:2001.06216v22020
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang +1
cs.LGcs.AIarXiv:2112.03558v12021
MaskGAN: Better Text Generation via Filling in the______
William Fedus, Ian Goodfellow, Andrew M. Dai
stat.MLcs.AIcs.LGarXiv:1801.07736v32018
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach, Ignasi Clavera, Yan Duan +2
cs.LGcs.AIcs.ROarXiv:1802.10592v22018
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Song Liu, Makoto Yamada, Nigel Collier +1
stat.MLcs.LGstat.MEarXiv:1203.0453v22012
Rasa: Open Source Language Understanding and Dialogue Management
Tom Bocklisch, Joey Faulkner, Nick Pawlowski +1
cs.CLcs.AIcs.LGarXiv:1712.05181v22017
A Survey on Neural Speech Synthesis
Xu Tan, Tao Qin, Frank Soong +1
eess.AScs.CLcs.LGarXiv:2106.15561v32021
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber
cs.AIcs.LGarXiv:1705.08439v42017
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi +1
cond-mat.mtrl-scics.LGarXiv:2001.06728v32020
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
cs.LGarXiv:1705.10461v32017
Towards Deep Conversational Recommendations
Raymond Li, Samira Kahou, Hannes Schulz +3
cs.LGcs.CLcs.IRarXiv:1812.07617v22018
Automated Algorithm Selection: Survey and Perspectives
Pascal Kerschke, Holger H. Hoos, Frank Neumann +1
cs.LGcs.AIstat.MLarXiv:1811.11597v12018
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
Yuxuan Wang, Haixu Wu, Jiaxiang Dong +6
cs.LGcs.AIarXiv:2402.19072v42024
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari, Jayadev Acharya, Gautam Kamath +1
cs.LGcs.AIarXiv:2103.03279v22021
Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO
Yunpeng Ba, Zhi Zheng, Yue Xie +7
cs.LGarXiv:2608.27351v12026
A Field Guide to Federated Optimization
Jianyu Wang, Zachary Charles, Zheng Xu +50
cs.LGarXiv:2107.06917v12021
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Jiang Wang, Simon Olsson, Christoph Wehmeyer +5
physics.comp-phcs.LGstat.MLarXiv:1812.01736v32018
Problems with Shapley-value-based explanations as feature importance measures
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger +1
cs.AIcs.LGstat.MLarXiv:2002.11097v22020
ChequeMark: An Ensemble Machine Learning Framework for After-Hours Business Deposit Fraud Detection
Ann Youduo Xu, Emily Yu, Justin Leski +1
cs.LGarXiv:2608.21629v12026
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Mortezapour Shiri, Thinagaran Perumal, Norwati Mustapha +1
cs.LGcs.AIarXiv:2305.17473v42023
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Youwei Liang, Chongjian Ge, Zhan Tong +3
cs.CVcs.LGarXiv:2202.07800v22022
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
Enoch Yeung, Soumya Kundu, Nathan Hodas
cs.LGcs.AImath.DSarXiv:1708.06850v22017
Data-centric Artificial Intelligence: A Survey
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai +4
cs.LGcs.AIcs.DBarXiv:2303.10158v32023
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi, Jianxin Wu
cs.CVcs.LGarXiv:1903.07788v12019
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra +1
cs.LGcs.CVstat.MLarXiv:1712.03878v52017
Reaching the Tail: Calibration Diversity Drives Conformal Coverage under Data Scarcity
Donald Aadithiyan
cs.LGarXiv:2608.21591v12026

Machine Learning

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Evaluation of Text Generation: A Survey

No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

High Accuracy and High Fidelity Extraction of Neural Networks

Max-value Entropy Search for Efficient Bayesian Optimization

Hyperparameter Search in Machine Learning

Teacher-Student Curriculum Learning

Progressive Feature Alignment for Unsupervised Domain Adaptation

Distilling Object Detectors with Fine-grained Feature Imitation

Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Implicit Bias of Gradient Descent on Linear Convolutional Networks

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Algorithms to estimate Shapley value feature attributions

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

SIGN: Scalable Inception Graph Neural Networks

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Are we done with ImageNet?

Measuring the Effects of Data Parallelism on Neural Network Training

Editing Large Language Models: Problems, Methods, and Opportunities

SGD: General Analysis and Improved Rates

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

LipNet: End-to-End Sentence-level Lipreading

Analyzing the Structure of Attention in a Transformer Language Model

To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks

Fixing the train-test resolution discrepancy

Variational Intrinsic Control

Algorithms for Verifying Deep Neural Networks

Lower Bounds for Non-Convex Stochastic Optimization

Retrosynthetic reaction prediction using neural sequence-to-sequence models

Benchmarking Multivariate Time Series Classification Algorithms

Reinforced Self-Training (ReST) for Language Modeling

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Graph Neural Controlled Differential Equations for Traffic Forecasting

MaskGAN: Better Text Generation via Filling in the______

Model-Ensemble Trust-Region Policy Optimization

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Rasa: Open Source Language Understanding and Dialogue Management

A Survey on Neural Speech Synthesis

Thinking Fast and Slow with Deep Learning and Tree Search

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

The Numerics of GANs

Towards Deep Conversational Recommendations

Automated Algorithm Selection: Survey and Perspectives

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Remember What You Want to Forget: Algorithms for Machine Unlearning

Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO

A Field Guide to Federated Optimization

Machine Learning of coarse-grained Molecular Dynamics Force Fields

Problems with Shapley-value-based explanations as feature importance measures

ChequeMark: An Ensemble Machine Learning Framework for After-Hours Business Deposit Fraud Detection

A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

Data-centric Artificial Intelligence: A Survey

Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

Generalized Zero-Shot Learning via Synthesized Examples

Reaching the Tail: Calibration Diversity Drives Conformal Coverage under Data Scarcity