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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9,481 to 9,540 of 20,199

Generative Adversarial Minority Oversampling
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
cs.CVcs.LGarXiv:1903.09730v32019
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, Changyou Chen +4
stat.MLcs.AIcs.CVarXiv:1709.01215v22017
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin, Hao Lan, Baochun Li
cs.LGarXiv:2104.06643v22021
Model Agnostic Supervised Local Explanations
Gregory Plumb, Denali Molitor, Ameet Talwalkar
cs.LGstat.MLarXiv:1807.02910v32018
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng, Bangsheng Tang, Wenkui Ding +1
cs.IRcs.LGstat.MLarXiv:1605.09477v12016
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov, William Cohen
cs.CLcs.LGarXiv:1603.06270v22016
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
Markus Hanselmann, Thilo Strauss, Katharina Dormann +1
cs.CRcs.LGeess.SParXiv:1906.02492v12019
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:1910.14315v52019
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation
Jie Zhou, Ying Cao, Xuguang Wang +2
cs.CLcs.LGarXiv:1606.04199v32016
Exploring Adversarial Examples in Malware Detection
Octavian Suciu, Scott E. Coull, Jeffrey Johns
cs.LGcs.CRstat.MLarXiv:1810.08280v32018
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu, Xiaorui Liu, Yaxin Li +2
cs.LGstat.MLarXiv:2010.06121v22020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
cs.LGcs.CVstat.MLarXiv:2006.12655v42020
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
Yizheng Wang, Jia Sun, Jinshuai Bai +5
cs.LGmath.NAarXiv:2406.11045v22024
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
Haoran Li, Abhinav Arora, Shuohui Chen +3
cs.CLcs.LGarXiv:2008.09335v22020
Fully Neural Network based Model for General Temporal Point Processes
Takahiro Omi, Naonori Ueda, Kazuyuki Aihara
cs.LGstat.MLarXiv:1905.09690v32019
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao, Chris Harris, Alex Irpan +3
cs.ROcs.CVcs.LGarXiv:2006.09001v12020
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan +5
cs.AIcs.LGarXiv:2402.01817v32024
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo, Xi Lin, Fei Liu +2
cs.LGcs.NEmath.OCarXiv:2310.07985v22023
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy, Erwan Le Merrer, Bruno Sericola
cs.LGstat.MLarXiv:1811.03850v22018
Off-policy reinforcement learning for $ H_\infty $ control design
Biao Luo, Huai-Ning Wu, Tingwen Huang
eess.SYcs.LGmath.OCarXiv:1311.6107v32013
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems
Mohsen Shahhosseini, Guiping Hu, Hieu Pham
stat.MLcs.LGstat.MEarXiv:1908.05287v62019
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Tara N. Sainath, Yanzhang He, Bo Li +26
cs.CLcs.LGcs.SDarXiv:2003.12710v22020
Challenges of Feature Selection for Big Data Analytics
Jundong Li, Huan Liu
cs.LGarXiv:1611.01875v12016
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong, Dorina Thanou, Laura Toni +2
cs.LGcs.SIeess.SParXiv:2007.16061v12020
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission
Tze-Yang Tung, Deniz Gündüz
eess.IVcs.LGcs.MMarXiv:2111.13034v12021
Learning to Anonymize Faces for Privacy Preserving Action Detection
Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
cs.CVcs.AIcs.CRarXiv:1803.11556v22018
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu, Yi Zeng, Shangwei Guo +3
cs.CRcs.LGarXiv:2012.07006v22020
Polynomial Learning of Distribution Families
Mikhail Belkin, Kaushik Sinha
cs.LGcs.DSarXiv:1004.4864v12010
Primer: Searching for Efficient Transformers for Language Modeling
David R. So, Wojciech Mańke, Hanxiao Liu +3
cs.LGcs.AIcs.CLarXiv:2109.08668v22021
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
Liang Xin, Wen Song, Zhiguang Cao +1
cs.LGcs.AIarXiv:2012.10638v12020
Shared Autonomy via Deep Reinforcement Learning
Siddharth Reddy, Anca D. Dragan, Sergey Levine
cs.LGcs.HCcs.ROarXiv:1802.01744v22018
Unsupervised pretraining transfers well across languages
Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré +1
eess.AScs.CLcs.LGarXiv:2002.02848v12020
Group Fisher Pruning for Practical Network Compression
Liyang Liu, Shilong Zhang, Zhanghui Kuang +7
cs.CVcs.LGarXiv:2108.00708v12021
Recurrent Environment Simulators
Silvia Chiappa, Sébastien Racaniere, Daan Wierstra +1
cs.AIcs.LGstat.MLarXiv:1704.02254v22017
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
cs.CRcs.LGcs.NIarXiv:2008.03297v12020
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu, Jingyan Jiang, Zhi Wang
cs.LGcs.DCcs.NIarXiv:1908.07782v12019
Alignment of Language Agents
Zachary Kenton, Tom Everitt, Laura Weidinger +3
cs.AIcs.LGarXiv:2103.14659v12021
diffGrad: An Optimization Method for Convolutional Neural Networks
Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3
cs.LGcs.CVcs.NEarXiv:1909.11015v42019
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Alexander Pan, Jun Shern Chan, Andy Zou +7
cs.LGcs.AIcs.CLarXiv:2304.03279v42023
Noisy Natural Gradient as Variational Inference
Guodong Zhang, Shengyang Sun, David Duvenaud +1
cs.LGstat.MLarXiv:1712.02390v22017
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han, Shiqiang Wang, Kin K. Leung
cs.LGcs.DCmath.OCarXiv:2001.04756v32020
BRP-NAS: Prediction-based NAS using GCNs
Łukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah +3
cs.LGeess.SPstat.MLarXiv:2007.08668v42020
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Maziar Raissi
stat.MLcs.LGeess.SYarXiv:1804.07010v12018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
Dan Hendrycks, Thomas G. Dietterich
cs.LGcs.AIcs.CVarXiv:1807.01697v52018
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton +2
cs.LGcs.CRcs.DCarXiv:2308.10407v22023
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention
Timothy J O'Shea, Kiran Karra, T. Charles Clancy
cs.LGcs.ITcs.NIarXiv:1608.06409v12016
Variance Reduction in SGD by Distributed Importance Sampling
Guillaume Alain, Alex Lamb, Chinnadhurai Sankar +2
stat.MLcs.LGarXiv:1511.06481v72015
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus +1
cs.CVcs.LGarXiv:2212.08420v22022
Feature Selection via Regularized Trees
Houtao Deng, George Runger
cs.LGstat.MEstat.MLarXiv:1201.1587v32012
ProMP: Proximal Meta-Policy Search
Jonas Rothfuss, Dennis Lee, Ignasi Clavera +2
cs.LGstat.MLarXiv:1810.06784v42018
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang, Xiaorong Li, Jian Sun +1
cs.LGarXiv:2103.07113v32021
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake +1
cs.LGcs.CLcs.CRarXiv:1910.08902v12019
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet, Han Zhao, Yu-Xiang Wang +1
cs.LGcs.AIstat.MLarXiv:2003.04475v32020
A Theory of Usable Information Under Computational Constraints
Yilun Xu, Shengjia Zhao, Jiaming Song +2
cs.LGstat.MLarXiv:2002.10689v12020
The Singular Values of Convolutional Layers
Hanie Sedghi, Vineet Gupta, Philip M. Long
cs.LGcs.AIstat.MLarXiv:1805.10408v22018
LLaGA: Large Language and Graph Assistant
Runjin Chen, Tong Zhao, Ajay Jaiswal +2
cs.LGcs.AIarXiv:2402.08170v32024
When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
Cong Cao
cs.AIcs.LGstat.MEarXiv:2609.00071v12026
An Application of Deep Reinforcement Learning to Algorithmic Trading
Thibaut Théate, Damien Ernst
q-fin.TRcs.AIcs.LGarXiv:2004.06627v32020
An Analysis of Hierarchical Text Classification Using Word Embeddings
Roger A. Stein, Patricia A. Jaques, Joao F. Valiati
cs.CLcs.AIcs.LGarXiv:1809.01771v12018
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
Won Joon Yun, Soohyun Park, Joongheon Kim +4
eess.SYcs.AIcs.LGarXiv:2201.05843v12022

Machine Learning

Generative Adversarial Minority Oversampling

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Generative Causal Explanations for Graph Neural Networks

Model Agnostic Supervised Local Explanations

A Neural Autoregressive Approach to Collaborative Filtering

Multi-Task Cross-Lingual Sequence Tagging from Scratch

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Exploring Adversarial Examples in Malware Detection

To be Robust or to be Fair: Towards Fairness in Adversarial Training

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark

Fully Neural Network based Model for General Temporal Point Processes

RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

Off-policy reinforcement learning for $ H_\infty $ control design

Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

Challenges of Feature Selection for Big Data Analytics

Graph signal processing for machine learning: A review and new perspectives

DeepWiVe: Deep-Learning-Aided Wireless Video Transmission

Learning to Anonymize Faces for Privacy Preserving Action Detection

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation

Polynomial Learning of Distribution Families

Primer: Searching for Efficient Transformers for Language Modeling

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

Shared Autonomy via Deep Reinforcement Learning

Unsupervised pretraining transfers well across languages

Group Fisher Pruning for Practical Network Compression

Recurrent Environment Simulators

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

Decentralized Federated Learning: A Segmented Gossip Approach

Alignment of Language Agents

diffGrad: An Optimization Method for Convolutional Neural Networks

Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark

Noisy Natural Gradient as Variational Inference

Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach

BRP-NAS: Prediction-based NAS using GCNs

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges

Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention

Variance Reduction in SGD by Distributed Importance Sampling

Fake it till you make it: Learning transferable representations from synthetic ImageNet clones

Feature Selection via Regularized Trees

ProMP: Proximal Meta-Policy Search

Training Networks in Null Space of Feature Covariance for Continual Learning

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

A Theory of Usable Information Under Computational Constraints

The Singular Values of Convolutional Layers

LLaGA: Large Language and Graph Assistant

When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation

An Application of Deep Reinforcement Learning to Algorithmic Trading

An Analysis of Hierarchical Text Classification Using Word Embeddings

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control