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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10,801 to 10,860 of 20,193

MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020
Continuous speech separation: dataset and analysis
Zhuo Chen, Takuya Yoshioka, Liang Lu +6
cs.SDcs.LGeess.ASarXiv:2001.11482v32020
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual, Mirco Ravanelli, Joan Serrà +2
cs.LGcs.SDeess.ASarXiv:1904.03416v12019
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka +2
stat.MLcs.AIcs.LGarXiv:1603.05106v22016
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang +11
cs.CLcs.AIcs.LGarXiv:2411.03350v22024
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Abien Fred Agarap
cs.LGstat.MLarXiv:1711.07831v42017
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Yong Liu, Chenyu Li, Jianmin Wang +1
cs.LGarXiv:2305.18803v22023
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng +4
cs.AIcs.LGarXiv:2405.00451v22024
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy +2
cs.LGcs.AIcs.CVarXiv:1712.03931v12017
Exploring Length Generalization in Large Language Models
Cem Anil, Yuhuai Wu, Anders Andreassen +7
cs.CLcs.LGarXiv:2207.04901v22022
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu +7
cs.SDcs.AIcs.LGarXiv:2409.00750v32024
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Roman Novak, Lechao Xiao, Jiri Hron +4
stat.MLcs.LGarXiv:1912.02803v12019
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
cs.LGarXiv:2204.00895v12022
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger, Chandan Singh, W. James Murdoch +1
cs.LGcs.CVstat.MLarXiv:1909.13584v42019
An Open Source AutoML Benchmark
Pieter Gijsbers, Erin LeDell, Janek Thomas +3
cs.LGstat.MLarXiv:1907.00909v12019
There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation
Gabe Guo, Elon Litman, Thanawat Sornwanee +2
cs.LGarXiv:2608.27885v12026
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal, Moab Arar, Yuval Atzmon +3
cs.CVcs.GRcs.LGarXiv:2302.12228v32023
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang +1
cs.LGcs.CVstat.MLarXiv:1808.09347v22018
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon S. Du, Chi Jin, Jason D. Lee +3
math.OCcs.LGstat.MLarXiv:1705.10412v22017
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson +1
cs.CVcs.LGstat.MLarXiv:1807.03146v22018
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
cs.CVcs.AIcs.LGarXiv:1809.00716v12018
Physics-informed learning for the inverse problem in resonant ultrasound spectroscopy
Alejandro Cubillos Muñoz, Manuela Rivas, Julian Rincon
cond-mat.mtrl-scics.LGphysics.app-pharXiv:2608.27590v12026
Diffusion Distillation for Efficient Weather Ensembles
Yiming Yang, Valentin Brekke, James Briant +1
cs.LGstat.AParXiv:2608.27728v12026
EfficientPS: Efficient Panoptic Segmentation
Rohit Mohan, Abhinav Valada
cs.CVcs.LGcs.ROarXiv:2004.02307v32020
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
cs.LGcs.AIstat.MLarXiv:2105.08195v22021
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Lili Mou, Yiping Song, Rui Yan +3
cs.CLcs.LGarXiv:1607.00970v22016
Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1809.01272v12018
Similarity encoding for learning with dirty categorical variables
Patricio Cerda, Gaël Varoquaux, Balázs Kégl
cs.LGcs.AIstat.MLarXiv:1806.00979v12018
A Unified View of Multi-Label Performance Measures
Xi-Zhu Wu, Zhi-Hua Zhou
cs.LGarXiv:1609.00288v22016
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality
Zhongang Qi, Tianchun Wang, Guojie Song +4
cs.LGarXiv:1711.00939v22017
Supporting Clustering with Contrastive Learning
Dejiao Zhang, Feng Nan, Xiaokai Wei +6
cs.LGcs.CLarXiv:2103.12953v22021
MultiModalQA: Complex Question Answering over Text, Tables and Images
Alon Talmor, Ori Yoran, Amnon Catav +6
cs.CLcs.AIcs.LGarXiv:2104.06039v12021
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li, Yongxing Dai, Yixiao Ge +3
cs.CVcs.LGarXiv:2202.03958v22022
Comprehensive Review On Twin Support Vector Machines
M. Tanveer, T. Rajani, R. Rastogi +2
cs.LGcs.AIarXiv:2105.00336v32021
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P K Poudel, Pablo Lamata, Giovanni Montana
stat.MLcs.CVcs.LGarXiv:1608.03974v12016
Landau theory of quenched criticality in linear in-context learning
Daesik Kim, Sumin Choi, Hyojae Jeon +1
cond-mat.dis-nncs.LGarXiv:2608.28059v12026
Biologically Inspired Mechanisms for Facilitating Grokking in Multilayer Perceptrons
Florin Leon
cs.LGarXiv:2608.28184v12026
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Yue Jiang, Dantong Ji, Zhizhong Han +1
cs.CVcs.GRcs.LGarXiv:1912.07109v22019
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery
Pavan Rajkumar Magesh, Richard Delwin Myloth, Rijo Jackson Tom
cs.CVcs.LGeess.IVarXiv:2008.00238v12020
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
eess.SPcs.AIcs.LGarXiv:2106.15842v32021
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun, Mattia Segu, Janis Postels +5
cs.CVcs.LGarXiv:2206.08367v12022
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov +1
cs.LGcs.AIcs.CVarXiv:1806.05594v32018
On the Sentence Embeddings from Pre-trained Language Models
Bohan Li, Hao Zhou, Junxian He +3
cs.CLcs.LGarXiv:2011.05864v12020
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
Proving Test Set Contamination in Black Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji +2
cs.CLcs.LGarXiv:2310.17623v22023
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Gilles Blanchard, Marek Flaska, Gregory Handy +2
stat.MLcs.LGarXiv:1303.1208v32013
Exact Gaussian Processes on a Million Data Points
Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner +3
cs.LGcs.DCstat.MLarXiv:1903.08114v22019
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson, Tong Zhang
stat.MLcs.CLcs.LGarXiv:1602.02373v22016
Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots
Xujun Che, Depeng Xu, Shuhan Yuan
cs.CRcs.CLcs.LGarXiv:2608.27782v12026
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel +6
cs.LGcs.AIcs.CVarXiv:2302.11552v62023
LEACE: Perfect linear concept erasure in closed form
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel +3
cs.LGcs.CLcs.CYarXiv:2306.03819v42023
Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamics
Till Muser, Giovanni Abati, Ivan Dokmanić
cs.LGarXiv:2608.27521v12026
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
eess.IVcs.CVcs.LGarXiv:2209.04444v22022
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Yichi Zhang, Daniel Apley, Wei Chen
stat.MLcond-mat.mtrl-scics.LGarXiv:1910.01688v12019
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha, Yao Mu, Yuxuan Jiang +7
cs.ROcs.AIcs.CLarXiv:2310.03026v32023
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li +2
cs.LGcs.NEstat.MLarXiv:1711.00258v22017
Optimal Transport for Network Comparison: A Review with Machine Learning Applications
James Hyun, François G. Meyer
stat.MLcs.LGcs.SIarXiv:2608.27500v12026
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot +10
cs.CVcs.AIcs.GRarXiv:2111.13152v32021
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang, Stephan Mandt
eess.IVcs.CVcs.LGarXiv:2209.06950v82022
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M. Zhang +12
cs.LGcs.AIcs.CLarXiv:2404.11018v32024

Machine Learning

MedDialog: Two Large-scale Medical Dialogue Datasets

Continuous speech separation: dataset and analysis

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

One-Shot Generalization in Deep Generative Models

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

Exploring Length Generalization in Large Language Models

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

Interpretations are useful: penalizing explanations to align neural networks with prior knowledge

An Open Source AutoML Benchmark

There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

Gradient Descent Can Take Exponential Time to Escape Saddle Points

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Physics-informed learning for the inverse problem in resonant ultrasound spectroscopy

Diffusion Distillation for Efficient Weather Ensembles

EfficientPS: Efficient Panoptic Segmentation

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

Unsupervised Statistical Machine Translation

Similarity encoding for learning with dirty categorical variables

A Unified View of Multi-Label Performance Measures

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality

Supporting Clustering with Contrastive Learning

MultiModalQA: Complex Question Answering over Text, Tables and Images

Uncertainty Modeling for Out-of-Distribution Generalization

Comprehensive Review On Twin Support Vector Machines

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation

Landau theory of quenched criticality in linear in-context learning

Biologically Inspired Mechanisms for Facilitating Grokking in Multilayer Perceptrons

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery

Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

On the Sentence Embeddings from Pre-trained Language Models

Honeybee: Locality-enhanced Projector for Multimodal LLM

Proving Test Set Contamination in Black Box Language Models

Classification with Asymmetric Label Noise: Consistency and Maximal Denoising

Exact Gaussian Processes on a Million Data Points

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

LEACE: Perfect linear concept erasure in closed form

Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamics

Monkeypox virus detection using pre-trained deep learning-based approaches

Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

Optimal Transport for Network Comparison: A Review with Machine Learning Applications

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

Lossy Image Compression with Conditional Diffusion Models

Many-Shot In-Context Learning