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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18,181 to 18,240 of 20,454

Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach
Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2
cs.LGcs.AIarXiv:2608.20440v12026
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov +3
cs.CVcs.LGcs.NEarXiv:1412.6596v32014
Approximate Homomorphisms and Convergent Representations in Transducers
Santiago Cifuentes
cs.LGcs.AIarXiv:2608.20428v12026
Simplified State Space Layers for Sequence Modeling
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
cs.LGarXiv:2208.04933v32022
VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models
Hyunwoo Kim
cs.CLcs.AIcs.LGarXiv:2608.20374v12026
EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking
Enjun Du, Siyi Liu, Zirong Chen +8
cs.CVcs.LGarXiv:2608.20886v12026
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Nayeon Kim, Hojin Lee, Yunju Bak +2
cs.LGcs.AIcs.CLarXiv:2608.20061v12026
Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski +2
stat.MLcs.LGarXiv:1711.10337v42017
ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State Geometries
Seungheun Baek, Mogan Gim, Jaewoo Kang
cs.AIcs.LGarXiv:2608.20869v12026
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle +1
cs.CVcs.LGeess.IVarXiv:1912.07372v22019
Summaries:한국어
NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress
Sayantan Acharya, Hamzeh Asgharnezhad, Abbas Khosravi +3
q-bio.NCcs.AIcs.LGarXiv:2608.20354v12026
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao +4
cs.IRcs.AIcs.LGarXiv:1810.11921v22018
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1605.07157v42016
Personalized Privacy Control in LLMs via Attention Head Intervention
Junseok Kim, Nakyeong Yang, Kyomin Jung
cs.AIcs.CLcs.LGarXiv:2608.21209v12026
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, Geoffrey I. Webb
cs.LGstat.MLarXiv:1910.13051v12019
TreeWY: Speculative Verification for Gated DeltaNet Hybrids
Sneha Murthy Ghantasala
cs.AIcs.CLcs.DCarXiv:2608.20961v12026
Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context
Utsav Poudel, Jagannath Aryal, Subramaniyaswamy Vairavasundaram
cs.AIcs.HCcs.LGarXiv:2608.20807v12026
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
stat.MLcs.CVcs.LGarXiv:2007.03898v32020
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
Dual-Cache Latent Space Communication between Heterogeneous Language Models
Jiyao Liu, Qi Zhang, Yaoyi Jia +2
cs.AIcs.LGarXiv:2608.20617v12026
Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu, Feng Yu +3
cs.LGstat.MLarXiv:2006.04131v22020
Multimodal Learning with Transformers: A Survey
Peng Xu, Xiatian Zhu, David A. Clifton
cs.CVcs.LGarXiv:2206.06488v22022
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal +2
cs.CLcs.LGarXiv:1908.07125v32019
Reasoning with Language Model is Planning with World Model
Shibo Hao, Yi Gu, Haodi Ma +4
cs.CLcs.AIcs.LGarXiv:2305.14992v22023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin, Shiyu Wang, Lintao Ma +8
cs.LGcs.AIarXiv:2310.01728v22023
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior, Françoise Beaufays
cs.NEcs.CLcs.LGarXiv:1402.1128v12014
The UCR Time Series Archive
Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar +5
cs.LGstat.MLarXiv:1810.07758v22018
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

Machine Learning

Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

Training Deep Neural Networks on Noisy Labels with Bootstrapping

Approximate Homomorphisms and Convergent Representations in Transducers

Simplified State Space Layers for Sequence Modeling

VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models

EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking

Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts

Are GANs Created Equal? A Large-Scale Study

ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State Geometries

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

NeuroStrata: An Electroencephalographic Connectivity-Aware Deep Representation Learning Framework for Dynamic Brain Network Analysis of Mental Stress

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Resnet in Resnet: Generalizing Residual Architectures

Unsupervised Learning for Physical Interaction through Video Prediction

Personalized Privacy Control in LLMs via Attention Head Intervention

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

TreeWY: Speculative Verification for Gated DeltaNet Hybrids

Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context

NVAE: A Deep Hierarchical Variational Autoencoder

PointPainting: Sequential Fusion for 3D Object Detection

Dual-Cache Latent Space Communication between Heterogeneous Language Models

Deep Graph Contrastive Representation Learning

Multimodal Learning with Transformers: A Survey

Universal Adversarial Triggers for Attacking and Analyzing NLP

Reasoning with Language Model is Planning with World Model

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

The UCR Time Series Archive

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