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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16,201 to 16,260 of 20,454

Avoiding Discrimination through Causal Reasoning
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo +3
stat.MLcs.CYcs.LGarXiv:1706.02744v22017
Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency
Brian Zhu, Momen Khalil, E Harrison +17
cs.ROcs.LGarXiv:2608.23831v12026
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu +2
cs.LGcs.AIcs.CLarXiv:1603.06318v62016
Provably adaptive sampling with uniform and remasking discrete diffusion models
Daniil Dmitriev, Zhihan Huang, Yuting Wei
cs.LGcs.ITmath.STarXiv:2608.23554v12026
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna Choromanska, Yann LeCun
cs.LGstat.MLarXiv:1412.6651v82014
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz +16
cs.LGcs.CLcs.CVarXiv:2010.14701v22020
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach +3
stat.MLcs.LGarXiv:2304.08424v52023
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
stat.MLcs.LGstat.MEarXiv:1307.1493v22013
Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations
Sohini Gupta, Bahareh Tolooshams
cs.LGcs.AIarXiv:2608.24762v12026
Constrained Hyperparameter Optimization for Streaming Data
Bruno Veloso, João Gama
cs.LGcs.AIarXiv:2608.24712v12026
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert, Marcin Andrychowicz, Alex Ray +9
cs.LGcs.AIcs.ROarXiv:1802.09464v22018
Applications of deep learning in stock market prediction: recent progress
Weiwei Jiang
q-fin.STcs.LGarXiv:2003.01859v12020
All are Worth Words: A ViT Backbone for Diffusion Models
Fan Bao, Shen Nie, Kaiwen Xue +4
cs.CVcs.AIcs.LGarXiv:2209.12152v42022
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang, Aapo Hyvarinen
stat.MLcs.LGarXiv:1205.2599v12012
Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets
Meghal Dani, Stefanie Liebe
cs.LGcs.AIarXiv:2608.24727v12026
Explainable deep learning models in medical image analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
cs.CVcs.LGeess.IVarXiv:2005.13799v12020
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
cs.LGcs.NEstat.MLarXiv:1901.10738v42019
Why does deep and cheap learning work so well?
Henry W. Lin, Max Tegmark, David Rolnick
cond-mat.dis-nncs.LGcs.NEarXiv:1608.08225v42016
Across the Loss Landscape with Progressive Growth
Paul Caillon, Christophe Cerisara, Alexandre Allauzen
cs.LGcs.AIarXiv:2608.24568v12026
Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis
Cyrus Mexon Evrard Djindot, Faliang Liu, Sylvain Laborde +6
physics.med-phcs.LGcs.SEarXiv:2608.24241v12026
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini +1
cs.CRcs.LGstat.MLarXiv:2007.14321v32020
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth +6
cs.LGcs.CRstat.MLarXiv:1810.12715v42018
A Generative Model for Inverse Design of Metamaterials
Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues +2
physics.opticscs.LGphysics.comp-pharXiv:1805.10181v12018
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
math.OCcs.LGstat.MLarXiv:1710.01688v32017
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John Miller +1
cs.LGstat.MLarXiv:2108.04884v32021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon, Alexandru Damian, Shijia Hu +2
cs.CVcs.LGeess.IVarXiv:2003.03808v32020
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu, Chih-Yao Ma, Zijian He +6
cs.CVcs.LGarXiv:2102.09480v12021
A Baseline for Few-Shot Image Classification
Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran +1
cs.LGcs.CVstat.MLarXiv:1909.02729v52019
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang +3
cs.CVcs.AIcs.LGarXiv:2108.08839v12021
PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization
Yunxiao Luo, Siyuan Wang, Ben Chen +1
cs.LGarXiv:2608.24207v12026
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
cs.LGcs.AIcs.MAarXiv:1908.03963v42019
Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate
Ethan Traister, Ankit Raj, Jiaqi Gan +7
cs.CRcs.CLcs.CYarXiv:2608.24127v12026
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long, Yiping Lu, Bin Dong
cs.LGmath.NAphysics.comp-pharXiv:1812.04426v22018
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell
cs.CVcs.LGarXiv:1506.03648v22015
Real Time Speech Enhancement in the Waveform Domain
Alexandre Defossez, Gabriel Synnaeve, Yossi Adi
eess.AScs.LGcs.SDarXiv:2006.12847v32020
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel, Mart van Baalen, Tijmen Blankevoort +1
cs.LGcs.CVstat.MLarXiv:1906.04721v32019
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi
cs.LGcs.CLcs.CVarXiv:1911.03584v22019
Next Generation Reservoir Computing
Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1
cs.LGnlin.AOarXiv:2106.07688v22021
Joint Distribution Alignment for Universal Domain Adaptation
Shizhe Li, Hongshan Pu, Mengying Xie +2
cs.LGcs.CVarXiv:2608.24429v12026
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli +3
cs.CLcs.LGarXiv:2401.18059v12024
From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender
Sonia Sharma, Jeyendran Balakrishnan, Shreya Rajpal +3
cs.LGcs.AIarXiv:2608.24132v12026
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
cs.CLcs.AIcs.LGarXiv:2401.11817v22024
Textbooks Are All You Need
Suriya Gunasekar, Yi Zhang, Jyoti Aneja +16
cs.CLcs.AIcs.LGarXiv:2306.11644v22023
$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks
Hanna Jiamei Zhang, Alan Papalia, Michael Everett +1
cs.LGcs.ROeess.SYarXiv:2608.24743v12026
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Mohammadreza Iman, John A. Miller, Khaled Rasheed +2
cs.LGcs.CVarXiv:2205.10356v22022
A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens +2
cs.LGcs.CVstat.MLarXiv:1906.08988v32019
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Anas Awadalla, Irena Gao, Josh Gardner +13
cs.CVcs.AIcs.LGarXiv:2308.01390v22023
When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study
Mohit Singh Chauhan, Vipin Gyanchandani, Dylan Bouchard
cs.LGcs.AIcs.CLarXiv:2608.24492v12026
Gated Multimodal Units for Information Fusion
John Arevalo, Thamar Solorio, Manuel Montes-y-Gómez +1
stat.MLcs.LGarXiv:1702.01992v12017
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen +1
eess.IVcs.CVcs.LGarXiv:2006.09965v32020
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain +4
cs.LGstat.MLarXiv:1905.11485v22019
Residual Reinforcement Learning for Robot Control
Tobias Johannink, Shikhar Bahl, Ashvin Nair +6
cs.ROcs.LGarXiv:1812.03201v22018
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang, Shirui Pan, Ruiqi Hu +3
cs.LGstat.MLarXiv:1906.06532v12019
On the Parameterization and Initialization of Diagonal State Space Models
Albert Gu, Ankit Gupta, Karan Goel +1
cs.LGarXiv:2206.11893v22022
All you need is a good init
Dmytro Mishkin, Jiri Matas
cs.LGarXiv:1511.06422v72015
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
cs.LGstat.MLarXiv:2008.03703v12020
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
math.OCcs.LGcs.NEarXiv:1603.06160v22016
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng, Shuran Song, Stefan Welker +3
cs.ROcs.AIcs.CVarXiv:1803.09956v32018
A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology
Eugene Vorontsov, Yi Kan Wang, Alican Bozkurt +13
cs.LGarXiv:2608.24688v12026

Machine Learning

Avoiding Discrimination through Causal Reasoning

Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency

Harnessing Deep Neural Networks with Logic Rules

Provably adaptive sampling with uniform and remasking discrete diffusion models

Deep learning with Elastic Averaging SGD

Scaling Laws for Autoregressive Generative Modeling

Long-term Forecasting with TiDE: Time-series Dense Encoder

Dropout Training as Adaptive Regularization

Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations

Constrained Hyperparameter Optimization for Streaming Data

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Applications of deep learning in stock market prediction: recent progress

All are Worth Words: A ViT Backbone for Diffusion Models

On the Identifiability of the Post-Nonlinear Causal Model

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

Explainable deep learning models in medical image analysis

Unsupervised Scalable Representation Learning for Multivariate Time Series

Why does deep and cheap learning work so well?

Across the Loss Landscape with Progressive Growth

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis

Label-Only Membership Inference Attacks

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

A Generative Model for Inverse Design of Metamaterials

On the Sample Complexity of the Linear Quadratic Regulator

Retiring Adult: New Datasets for Fair Machine Learning

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Unbiased Teacher for Semi-Supervised Object Detection

A Baseline for Few-Shot Image Classification

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate

PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Real Time Speech Enhancement in the Waveform Domain

Data-Free Quantization Through Weight Equalization and Bias Correction

On the Relationship between Self-Attention and Convolutional Layers

Next Generation Reservoir Computing

Joint Distribution Alignment for Universal Domain Adaptation

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender

Hallucination is Inevitable: An Innate Limitation of Large Language Models

Textbooks Are All You Need

$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

A Fourier Perspective on Model Robustness in Computer Vision

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

Gated Multimodal Units for Information Fusion

High-Fidelity Generative Image Compression

Representation Learning for Dynamic Graphs: A Survey

Residual Reinforcement Learning for Robot Control

Attributed Graph Clustering: A Deep Attentional Embedding Approach

On the Parameterization and Initialization of Diagonal State Space Models

All you need is a good init

What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation

Stochastic Variance Reduction for Nonconvex Optimization

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning

A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology