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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14,941 to 15,000 of 20,193

Monte Carlo Gradient Estimation in Machine Learning
Shakir Mohamed, Mihaela Rosca, Michael Figurnov +1
stat.MLcs.LGmath.OCarXiv:1906.10652v22019
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christian Zimmermann, Duygu Ceylan, Jimei Yang +3
cs.CVcs.LGcs.ROarXiv:1909.04349v32019
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing, Pascal Vincent, Yann LeCun +1
cs.CVcs.AIcs.LGarXiv:2110.09348v32021
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen +5
stat.MLcs.CRcs.LGarXiv:1801.10578v12018
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang +5
cs.CVcs.LGarXiv:1804.04610v12018
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg +4
cs.CVcs.CGcs.LGarXiv:2003.10983v32020
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum +2
cs.LGcs.CVcs.CYarXiv:2212.03860v32022
Top2Vec: Distributed Representations of Topics
Dimo Angelov
cs.CLcs.LGstat.MLarXiv:2008.09470v12020
8-bit Optimizers via Block-wise Quantization
Tim Dettmers, Mike Lewis, Sam Shleifer +1
cs.LGarXiv:2110.02861v22021
Revisiting Multiple Instance Neural Networks
Xinggang Wang, Yongluan Yan, Peng Tang +2
stat.MLcs.LGarXiv:1610.02501v12016
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chao Li, Zhiyuan Liu, Mengmeng Wu +7
cs.IRcs.LGstat.MLarXiv:1904.08030v12019
Characterizing Concept Drift
Geoffrey I. Webb, Roy Hyde, Hong Cao +2
cs.LGcs.AIarXiv:1511.03816v62015
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman, Ran El-Yaniv
cs.LGstat.MLarXiv:1901.09192v42019
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan
cs.LGcs.AIcs.CVarXiv:1711.10563v22017
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan +5
cs.CVcs.AIcs.CLarXiv:2107.06383v12021
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
Leslie N. Smith, Nicholay Topin
cs.LGcs.CVcs.NEarXiv:1708.07120v32017
Characterizing and Avoiding Negative Transfer
Zirui Wang, Zihang Dai, Barnabás Póczos +1
cs.LGstat.MLarXiv:1811.09751v42018
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
cs.CYcs.LGstat.MLarXiv:1805.00794v22018
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta, Albert Gu, Jonathan Berant
cs.LGcs.CLarXiv:2203.14343v32022
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo, Alexander M. Rush, Yoon Kim
cs.CLcs.LGarXiv:2012.07463v22020
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov +3
cs.LGcs.AIcs.ROarXiv:1910.01741v32019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng, Zhe Gan +3
cs.CLcs.LGarXiv:1909.11764v52019
Model-Based Deep Learning
Nir Shlezinger, Jay Whang, Yonina C. Eldar +1
eess.SPcs.LGarXiv:2012.08405v32020
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Lukas Berglund, Meg Tong, Max Kaufmann +4
cs.CLcs.AIcs.LGarXiv:2309.12288v42023
Analysing Mathematical Reasoning Abilities of Neural Models
David Saxton, Edward Grefenstette, Felix Hill +1
cs.LGstat.MLarXiv:1904.01557v12019
Differentially Private Fine-tuning of Language Models
Da Yu, Saurabh Naik, Arturs Backurs +9
cs.LGcs.CLcs.CRarXiv:2110.06500v22021
Grounding of Textual Phrases in Images by Reconstruction
Anna Rohrbach, Marcus Rohrbach, Ronghang Hu +2
cs.CVcs.CLcs.LGarXiv:1511.03745v42015
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
cs.LGcs.AIstat.MLarXiv:2304.02858v32023
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
Levent Sagun, Utku Evci, V. Ugur Guney +2
cs.LGarXiv:1706.04454v32017
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li, Zhibin Zhao, Chuang Sun +4
cs.CVcs.LGcs.NEarXiv:1911.07925v32019
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li, Yue Zhao, Xiyang Hu +3
cs.LGcs.DBstat.AParXiv:2201.00382v32022
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer +3
cs.CLcs.LGarXiv:1809.00782v12018
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li +5
cs.CVcs.AIcs.CLarXiv:2404.01291v22024
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran
cs.IRcs.CVcs.LGarXiv:1905.13538v22019
Deep Isolation Forest for Anomaly Detection
Hongzuo Xu, Guansong Pang, Yijie Wang +1
cs.LGarXiv:2206.06602v42022
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li, Aspen K. Hopkins, David Bau +3
cs.LGcs.AIcs.CLarXiv:2210.13382v52022
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li +4
cs.LGcs.GRphysics.comp-pharXiv:1910.00935v32019
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis +1
cs.LGcs.AIarXiv:2206.08496v32022
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani, Yair Beery, David Burshtein
cs.ITcs.LGcs.NEarXiv:1607.04793v22016
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim, Taesup Kim, Sungwoong Kim +1
cs.LGcs.CVarXiv:1905.01436v12019
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Gabriel Mittag, Babak Naderi, Assmaa Chehadi +1
eess.AScs.AIcs.LGarXiv:2104.09494v12021
Deep-learning inversion: a next generation seismic velocity-model building method
Fangshu Yang, Jianwei Ma
physics.geo-phcs.LGeess.SParXiv:1902.06267v12019
Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus-Robert Müller
cs.AIcs.LGcs.NEarXiv:1909.12072v12019
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao +3
cs.LGcs.AIcs.CLarXiv:2305.17493v32023
Competitive caching with machine learned advice
Thodoris Lykouris, Sergei Vassilvitskii
cs.DScs.LGarXiv:1802.05399v42018
Deep Architectures for Modulation Recognition
Nathan E West, Timothy J. O'Shea
cs.LGarXiv:1703.09197v12017
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. H. Byrd, S. L. Hansen, J. Nocedal +1
math.OCcs.LGstat.MLarXiv:1401.7020v22014
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang +3
cs.IRcs.LGarXiv:2001.04830v12019
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber
cs.CLcs.LGarXiv:1905.12516v12019
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
cs.CVcs.LGstat.MLarXiv:2009.12991v52020
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu, Han Cai +3
cs.CLcs.AIcs.LGarXiv:1709.08624v22017
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang, Kihyuk Sohn, Diogo Almeida +1
cs.LGcs.CVarXiv:1603.05201v22016
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Mingxing Xu, Wenrui Dai, Chunmiao Liu +4
eess.SPcs.LGarXiv:2001.02908v22020
A Survey on Instance Segmentation: State of the art
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
cs.CVcs.LGeess.IVarXiv:2007.00047v12020
Dense Associative Memory for Pattern Recognition
Dmitry Krotov, John J Hopfield
cs.NEcond-mat.dis-nncs.LGarXiv:1606.01164v22016
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
cs.CVcs.LGarXiv:2207.14626v22022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov +2
cs.LGarXiv:2106.04399v22021
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger, William A. P. Smith, Ayush Tewari +10
cs.CVcs.GRcs.LGarXiv:1909.01815v22019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT, Takanori Maehara
stat.MLcs.ITcs.LGarXiv:1905.09550v22019
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Chen Fang +2
cs.CVcs.LGarXiv:1612.00835v22016

Machine Learning

Monte Carlo Gradient Estimation in Machine Learning

FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images

Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Top2Vec: Distributed Representations of Topics

8-bit Optimizers via Block-wise Quantization

Revisiting Multiple Instance Neural Networks

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Characterizing Concept Drift

SelectiveNet: A Deep Neural Network with an Integrated Reject Option

FearNet: Brain-Inspired Model for Incremental Learning

How Much Can CLIP Benefit Vision-and-Language Tasks?

Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Characterizing and Avoiding Negative Transfer

ECG Heartbeat Classification: A Deep Transferable Representation

Diagonal State Spaces are as Effective as Structured State Spaces

Parameter-Efficient Transfer Learning with Diff Pruning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Model-Based Deep Learning

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Analysing Mathematical Reasoning Abilities of Neural Models

Differentially Private Fine-tuning of Language Models

Grounding of Textual Phrases in Images by Reconstruction

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Evaluating Text-to-Visual Generation with Image-to-Text Generation

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

Deep Isolation Forest for Anomaly Detection

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

DiffTaichi: Differentiable Programming for Physical Simulation

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Learning to Decode Linear Codes Using Deep Learning

Edge-labeling Graph Neural Network for Few-shot Learning

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Deep-learning inversion: a next generation seismic velocity-model building method

Towards Explainable Artificial Intelligence

The Curse of Recursion: Training on Generated Data Makes Models Forget

Competitive caching with machine learned advice

Deep Architectures for Modulation Recognition

A Stochastic Quasi-Newton Method for Large-Scale Optimization

Sequential Recommender Systems: Challenges, Progress and Prospects

Racial Bias in Hate Speech and Abusive Language Detection Datasets

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

Long Text Generation via Adversarial Training with Leaked Information

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

A Survey on Instance Segmentation: State of the art

Dense Associative Memory for Pattern Recognition

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

3D Morphable Face Models -- Past, Present and Future

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Scribbler: Controlling Deep Image Synthesis with Sketch and Color