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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14,461 to 14,520 of 20,205

A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings
Yifei Ding, Minping Jia, Qiuhua Miao +1
cs.AIcs.LGeess.SParXiv:2104.09079v32021
A Comprehensive Survey on Community Detection with Deep Learning
Xing Su, Shan Xue, Fanzhen Liu +9
cs.SIcs.AIcs.LGarXiv:2105.12584v22021
Agentless: Demystifying LLM-based Software Engineering Agents
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn +1
cs.SEcs.AIcs.CLarXiv:2407.01489v22024
Differentially Private Learning with Adaptive Clipping
Galen Andrew, Om Thakkar, H. Brendan McMahan +1
cs.LGstat.MLarXiv:1905.03871v52019
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
Qian Yu, Songze Li, Netanel Raviv +3
cs.ITcs.DCcs.LGarXiv:1806.00939v42018
Selection Bias Correction in Retail Intelligence
Spandan Ghose Chowdhury
cs.AIcs.LGarXiv:2608.26156v12026
Explainable Artificial Intelligence for Customer Churn Prediction in Telecommunications: A Framework for CRM Integration
Sandeep Gaddamwar
cs.AIcs.LGarXiv:2608.26151v12026
Neural network models and deep learning - a primer for biologists
Nikolaus Kriegeskorte, Tal Golan
q-bio.NCcs.LGcs.NEarXiv:1902.04704v22019
Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang +1
cs.LGcs.CRstat.MLarXiv:1712.00673v22017
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
Hao Fu, Chunyuan Li, Xiaodong Liu +3
cs.LGcs.AIcs.CLarXiv:1903.10145v32019
Deep Structured Energy Based Models for Anomaly Detection
Shuangfei Zhai, Yu Cheng, Weining Lu +1
cs.LGstat.MLarXiv:1605.07717v22016
CLUE: A Chinese Language Understanding Evaluation Benchmark
Liang Xu, Hai Hu, Xuanwei Zhang +29
cs.CLcs.LGarXiv:2004.05986v32020
Refusal Is Not Robustness: Auditing Confident Fabrication in Large Language Models on a Provably Uninformative Clinical Pain Speech Transcript
Sagnik De, Sreenija Pavuluri
cs.AIcs.ETcs.LGarXiv:2608.26167v12026
Auxiliary Deep Generative Models
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby +1
stat.MLcs.AIcs.LGarXiv:1602.05473v42016
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
Samet Akçay, Amir Atapour-Abarghouei, Toby P. Breckon
cs.CVcs.LGarXiv:1901.08954v12019
A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yoni Halpern +5
cs.LGcs.DSstat.MLarXiv:1212.4777v12012
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
Jiarun Liu, Hao Yang, Hong-Yu Zhou +8
eess.IVcs.CVcs.LGarXiv:2402.03302v22024
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson +1
cs.SDcs.AIcs.LGarXiv:1502.04149v42015
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +2
stat.MLcs.LGarXiv:1507.00677v92015
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort +5
cs.CVcs.LGarXiv:1904.04776v22019
TSMixer: An All-MLP Architecture for Time Series Forecasting
Si-An Chen, Chun-Liang Li, Nate Yoder +2
cs.LGcs.AIarXiv:2303.06053v52023
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain +4
cs.CVcs.LGarXiv:2410.02073v22024
Summaries:한국어
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu +3
cs.CVcs.LGcs.MMarXiv:2104.11116v12021
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael B. Chang, Tomer Ullman, Antonio Torralba +1
cs.AIcs.LGarXiv:1612.00341v22016
Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse
Edouard Lansiaux, Hugo Kazzi, Aurélien Loison +2
cs.AIcs.LGarXiv:2608.26149v12026
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
cs.CVcs.AIcs.LGarXiv:1409.6041v12014
Deep Learning for Joint Source-Channel Coding of Text
Nariman Farsad, Milind Rao, Andrea Goldsmith
cs.ITcs.AIcs.LGarXiv:1802.06832v12018
Stacked Generative Adversarial Networks
Xun Huang, Yixuan Li, Omid Poursaeed +2
cs.CVcs.LGcs.NEarXiv:1612.04357v42016
When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models
Dai Shi, Xiaoyu Li, José Miguel Hernández-Lobato
cs.CLcs.AIcs.LGarXiv:2608.26187v12026
Separable Self-attention for Mobile Vision Transformers
Sachin Mehta, Mohammad Rastegari
cs.CVcs.AIcs.LGarXiv:2206.02680v12022
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo, Benjamin Van Roy
cs.LGarXiv:1403.5341v22014
Data Augmentation by Pairing Samples for Images Classification
Hiroshi Inoue
cs.LGcs.CVstat.MLarXiv:1801.02929v22018
AudioGen: Textually Guided Audio Generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak +6
cs.SDcs.CLcs.LGarXiv:2209.15352v22022
Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting
Xinwei Qiang, Xiang Fang, Chang Chen +2
cs.LGcs.CLcs.ITarXiv:2608.27339v12026
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Yang, Dan Klein
cs.CLcs.LGarXiv:2104.05218v22021
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang, Haomin Wen, Yuqi Nie +5
cs.LGarXiv:2403.14735v32024
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Zhiyong Cui, Ruimin Ke, Ziyuan Pu +1
cs.LGarXiv:1801.02143v22018
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason Lee, Kyunghyun Cho, Thomas Hofmann
cs.CLcs.LGarXiv:1610.03017v32016
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang, Justin M. Solomon
cs.LGstat.MLarXiv:1910.12240v22019
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
cs.LGcs.AIarXiv:1703.00512v12017
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Yi-Ju Lu, Cheng-Te Li
cs.CLcs.LGstat.MLarXiv:2004.11648v12020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang, Jie Qin, Yi Zhou +3
cs.LGcs.CVstat.MLarXiv:2009.12836v12020
Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh
cs.LGcs.AIcs.CRarXiv:2010.10981v12020
A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
Johannes Krotz, Juan M. Restrepo, Jorge Ramirez
math.DScs.LGmath.STarXiv:2406.06837v22024
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
cs.LGcs.AIcs.CLarXiv:2402.12354v22024
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan, Chen Gong, Ping Zhong +3
eess.IVcs.LGstat.MLarXiv:1905.06133v12019
A Deep Learning Approach to Structured Signal Recovery
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
cs.LGstat.MLarXiv:1508.04065v12015
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal, Navin Goyal
cs.LGcs.DSstat.MLarXiv:1209.3353v12012
A Simple Method for Commonsense Reasoning
Trieu H. Trinh, Quoc V. Le
cs.AIcs.CLcs.LGarXiv:1806.02847v22018
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Xiao, Logan Engstrom, Andrew Ilyas +1
cs.CVcs.LGarXiv:2006.09994v12020
Improved Techniques for Training Consistency Models
Yang Song, Prafulla Dhariwal
cs.LGarXiv:2310.14189v12023
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler +10
eess.AScs.LGcs.SDarXiv:2005.13981v32020
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Eric Wallace, Kai Xiao, Reimar Leike +3
cs.CRcs.CLcs.LGarXiv:2404.13208v12024
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang +3
physics.geo-phcs.LGstat.MLarXiv:2007.12269v12020
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal, Marius Arvinte, Giannis Daras +3
cs.LGcs.CVcs.ITarXiv:2108.01368v22021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Zi-Yi Dou, Yichong Xu, Zhe Gan +9
cs.CVcs.CLcs.LGarXiv:2111.02387v32021
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho +1
cs.CVcs.LGarXiv:2003.13911v12020
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie, Xiang Fu, Octavian-Eugen Ganea +2
cs.LGcond-mat.mtrl-sciphysics.comp-pharXiv:2110.06197v32021
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
Kevin Trebing, Tomasz Stanczyk, Siamak Mehrkanoon
cs.LGeess.IVarXiv:2007.04417v22020

Machine Learning

A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings

A Comprehensive Survey on Community Detection with Deep Learning

Agentless: Demystifying LLM-based Software Engineering Agents

Differentially Private Learning with Adaptive Clipping

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy

Selection Bias Correction in Retail Intelligence

Explainable Artificial Intelligence for Customer Churn Prediction in Telecommunications: A Framework for CRM Integration

Neural network models and deep learning - a primer for biologists

Towards Robust Neural Networks via Random Self-ensemble

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Deep Structured Energy Based Models for Anomaly Detection

CLUE: A Chinese Language Understanding Evaluation Benchmark

Refusal Is Not Robustness: Auditing Confident Fabrication in Large Language Models on a Provably Uninformative Clinical Pain Speech Transcript

Auxiliary Deep Generative Models

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

A Practical Algorithm for Topic Modeling with Provable Guarantees

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

Distributional Smoothing with Virtual Adversarial Training

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

TSMixer: An All-MLP Architecture for Time Series Forecasting

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

A Compositional Object-Based Approach to Learning Physical Dynamics

Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse

Domain Adaptive Neural Networks for Object Recognition

Deep Learning for Joint Source-Channel Coding of Text

Stacked Generative Adversarial Networks

When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models

Separable Self-attention for Mobile Vision Transformers

An Information-Theoretic Analysis of Thompson Sampling

Data Augmentation by Pairing Samples for Images Classification

AudioGen: Textually Guided Audio Generation

Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

FUDGE: Controlled Text Generation With Future Discriminators

Foundation Models for Time Series Analysis: A Tutorial and Survey

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Fully Character-Level Neural Machine Translation without Explicit Segmentation

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Amnesiac Machine Learning

A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics

LoRA+: Efficient Low Rank Adaptation of Large Models

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

A Deep Learning Approach to Structured Signal Recovery

Further Optimal Regret Bounds for Thompson Sampling

A Simple Method for Commonsense Reasoning

Noise or Signal: The Role of Image Backgrounds in Object Recognition

Improved Techniques for Training Consistency Models

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

Robust Compressed Sensing MRI with Deep Generative Priors

An Empirical Study of Training End-to-End Vision-and-Language Transformers

Proxy Anchor Loss for Deep Metric Learning

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture