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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17,941 to 18,000 of 20,188

SimPO: Simple Preference Optimization with a Reference-Free Reward
Yu Meng, Mengzhou Xia, Danqi Chen
cs.CLcs.LGarXiv:2405.14734v32024
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Yue Zhang, Yafu Li, Leyang Cui +13
cs.CLcs.AIcs.CYarXiv:2309.01219v32023
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
cs.CLcs.AIcs.LGarXiv:2009.07118v22020
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi
stat.MLcs.LGmath.OCarXiv:1212.0467v12012
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
cs.CVcs.AIcs.LGarXiv:2301.00493v12023
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang, Hang Jiang, Yasuhide Miura +2
cs.CVcs.CLcs.LGarXiv:2010.00747v22020
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng, Vahid Noroozi, Philip S. Yu
cs.LGcs.IRarXiv:1701.04783v12017
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong +4
cs.CLcs.AIcs.LGarXiv:1804.09541v12018
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
cs.CLcs.LGarXiv:2005.10200v22020
StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing
Roberto Tacconelli
cs.LGcs.ITarXiv:2605.02904v12026
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto +17
cs.AIcs.CLcs.LGarXiv:2205.06175v32022
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang, Jiebo Song, Anni Gao +3
cs.LGstat.MLarXiv:1905.08094v12019
Multi-scale Attributed Node Embedding
Benedek Rozemberczki, Carl Allen, Rik Sarkar
cs.LGcs.NIcs.SIarXiv:1909.13021v32019
When Retrieval Fails Before It Begins: Structurally Indirect Prerequisite Eviction as a Retention Failure in Agentic Memory
Minkyu Song
cs.AIcs.CLcs.LGarXiv:2608.20400v12026
World models of environment, agent and joint agent-environment systems
Manuel Baltieri, Filippo Torresan, Yivan Zhang +2
cs.AIcs.LGarXiv:2608.20401v12026
A Hybrid Approach to Privacy-Preserving Federated Learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar +4
cs.LGstat.MLarXiv:1812.03224v22018
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5
eess.IVcs.CVcs.LGarXiv:2004.14133v42020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui, Zhenan Sun, Yonggang Wen +2
cs.LGstat.MLarXiv:2001.06937v12020
Bayesian Active Learning for Classification and Preference Learning
Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani +1
stat.MLcs.LGarXiv:1112.5745v12011
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
Deep Forest
Zhi-Hua Zhou, Ji Feng
cs.LGstat.MLarXiv:1702.08835v42017
Agnostic Federated Learning
Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh
cs.LGstat.MLarXiv:1902.00146v12019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum +7
cs.CVcs.LGeess.IVarXiv:1901.07042v52019
Florence: A New Foundation Model for Computer Vision
Lu Yuan, Dongdong Chen, Yi-Ling Chen +20
cs.CVcs.AIcs.LGarXiv:2111.11432v12021
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong, Tianyu Pang, Hang Su +1
cs.CVcs.CRcs.LGarXiv:1904.02884v12019
Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw, Eric Liang, Robert Nishihara +3
cs.LGcs.DCstat.MLarXiv:1807.05118v12018
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran, Quentin Duval, Ishan Misra +5
cs.CVcs.AIcs.LGarXiv:2301.08243v32023
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie, Aditi Raghunathan, Percy Liang +1
cs.CLcs.LGarXiv:2111.02080v62021
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris, Nils M. Kriege, Franka Bause +3
cs.LGcs.NEstat.MLarXiv:2007.08663v12020
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek, Mikhail Galkin, Vijay Prakash Dwivedi +3
cs.LGarXiv:2205.12454v42022
Visualizing and Understanding Recurrent Networks
Andrej Karpathy, Justin Johnson, Li Fei-Fei
cs.LGcs.CLcs.NEarXiv:1506.02078v22015
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao, Chen Sun, Hang Zhao +4
cs.CVcs.LGstat.MLarXiv:2005.04259v12020
Towards Understanding the Robustness of Sparse Autoencoders
Ahson Saiyed, Sabrina Sadiekh, Chirag Agarwal
cs.LGcs.AIcs.CLarXiv:2604.18756v12026
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk, Junru Wu +1
cs.CVcs.LGarXiv:1908.03826v12019
Directional Message Passing for Molecular Graphs
Johannes Gasteiger, Janek Groß, Stephan Günnemann
cs.LGphysics.comp-phstat.MLarXiv:2003.03123v22020
Don't Decay the Learning Rate, Increase the Batch Size
Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying +1
cs.LGcs.CVcs.DCarXiv:1711.00489v22017
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5
cs.LGcs.SIstat.MLarXiv:2006.09963v32020
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu, Haixu Wu, Jianmin Wang +1
cs.LGarXiv:2110.02642v52021
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo, Anbang Yao, Yurong Chen
cs.NEcs.CVcs.LGarXiv:1608.04493v22016
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi, Xavier Bresson
cs.LGarXiv:2012.09699v22020
Meta Networks
Tsendsuren Munkhdalai, Hong Yu
cs.LGstat.MLarXiv:1703.00837v22017
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere +6
eess.AScs.CLcs.LGarXiv:1910.06711v32019
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme, Joan Puigcerver, Basil Mustafa +5
cs.CVcs.LGstat.MLarXiv:2106.05974v12021
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor +5
cs.LGcs.SIstat.MLarXiv:1905.00067v32019
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Yue Wang, Vitor Guizilini, Tianyuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2110.06922v12021
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis, Tommi S. Jaakkola
cs.LGstat.MLarXiv:1806.07538v22018
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca +3
cs.LGstat.MLarXiv:2006.10637v32020
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong, Ming Ding, Wendi Zheng +2
cs.CVcs.CLcs.LGarXiv:2205.15868v12022
Editing Models with Task Arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman +4
cs.LGcs.CLcs.CVarXiv:2212.04089v32022
WaveGlow: A Flow-based Generative Network for Speech Synthesis
Ryan Prenger, Rafael Valle, Bryan Catanzaro
cs.SDcs.AIcs.LGarXiv:1811.00002v12018
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao +3
cs.CVcs.AIcs.LGarXiv:2111.14819v22021
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher
cs.CLcs.LGcs.NEarXiv:1708.02182v12017
Adversarial Training Methods for Semi-Supervised Text Classification
Takeru Miyato, Andrew M. Dai, Ian Goodfellow
stat.MLcs.LGarXiv:1605.07725v42016
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng, Andrew Liu, Jun-Yan Zhu +1
cs.CVcs.GRcs.LGarXiv:2107.02791v32021
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot, Martín Abadi, Úlfar Erlingsson +2
stat.MLcs.CRcs.LGarXiv:1610.05755v42016
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Asif Iqbal Khan, Junaid Latief Shah, Mudasir Bhat
eess.IVcs.LGstat.MLarXiv:2004.04931v32020
Mass-Editing Memory in a Transformer
Kevin Meng, Arnab Sen Sharma, Alex Andonian +2
cs.CLcs.LGarXiv:2210.07229v22022
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
Sifan Wang, Hanwen Wang, Paris Perdikaris
cs.LGmath.NAstat.MLarXiv:2103.10974v12021
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang, Miao Zhao, Xing Xie +2
cs.IRcs.LGstat.MLarXiv:1904.12575v12019

Machine Learning

SimPO: Simple Preference Optimization with a Reference-Free Reward

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Low-rank Matrix Completion using Alternating Minimization

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

BERTweet: A pre-trained language model for English Tweets

StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing

A Generalist Agent

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

Multi-scale Attributed Node Embedding

When Retrieval Fails Before It Begins: Structurally Indirect Prerequisite Eviction as a Retention Failure in Agentic Memory

World models of environment, agent and joint agent-environment systems

A Hybrid Approach to Privacy-Preserving Federated Learning

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Bayesian Active Learning for Classification and Preference Learning

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Deep Forest

Agnostic Federated Learning

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Florence: A New Foundation Model for Computer Vision

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Tune: A Research Platform for Distributed Model Selection and Training

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

An Explanation of In-context Learning as Implicit Bayesian Inference

TUDataset: A collection of benchmark datasets for learning with graphs

Recipe for a General, Powerful, Scalable Graph Transformer

Visualizing and Understanding Recurrent Networks

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Towards Understanding the Robustness of Sparse Autoencoders

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

Directional Message Passing for Molecular Graphs

Don't Decay the Learning Rate, Increase the Batch Size

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Dynamic Network Surgery for Efficient DNNs

A Generalization of Transformer Networks to Graphs

Meta Networks

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Scaling Vision with Sparse Mixture of Experts

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Towards Robust Interpretability with Self-Explaining Neural Networks

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Robots that can adapt like animals

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Editing Models with Task Arithmetic

WaveGlow: A Flow-based Generative Network for Speech Synthesis

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Regularizing and Optimizing LSTM Language Models

Adversarial Training Methods for Semi-Supervised Text Classification

Depth-supervised NeRF: Fewer Views and Faster Training for Free

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Mass-Editing Memory in a Transformer

Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets

Knowledge Graph Convolutional Networks for Recommender Systems