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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9,901 to 9,960 of 19,961

Classification using Hyperdimensional Computing: A Review
Lulu Ge, Keshab K. Parhi
cs.LGcs.AIcs.CLarXiv:2004.11204v12020
Sparse and Imperceivable Adversarial Attacks
Francesco Croce, Matthias Hein
cs.LGcs.CRcs.CVarXiv:1909.05040v12019
Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun +6
cs.LGcs.CVstat.MLarXiv:1904.05877v22019
Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification
Thiago César Castilho Almeida, Gustavo Rosseto Letício, Vinicius Atsushi Sato Kawai +1
cs.LGcs.CVcs.IRarXiv:2608.29004v12026
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu, Dixin Luo, Lawrence Carin
cs.LGcs.SIstat.MLarXiv:1905.07645v52019
Language GANs Falling Short
Massimo Caccia, Lucas Caccia, William Fedus +3
cs.CLcs.LGarXiv:1811.02549v62018
$\mathcal{N}_0$-Foundation: Towards the Age of Tactile Intelligence
NeoteAI Team, Fudan TEAI Team
cs.ROcs.CVcs.LGarXiv:2608.29601v12026
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Joe Benton, Valentin De Bortoli, Arnaud Doucet +1
stat.MLcs.LGarXiv:2308.03686v32023
Reward-Free Exploration for Reinforcement Learning
Chi Jin, Akshay Krishnamurthy, Max Simchowitz +1
cs.LGstat.MLarXiv:2002.02794v12020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
Divyat Mahajan, Chenhao Tan, Amit Sharma
cs.LGcs.AIstat.MLarXiv:1912.03277v32019
PalmTree: Learning an Assembly Language Model for Instruction Embedding
Xuezixiang Li, Qu Yu, Heng Yin
cs.LGcs.AIcs.PLarXiv:2103.03809v32021
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu, Xingyu Li, Rui Duan +3
cs.LGarXiv:2206.02618v12022
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Michael Veale, Reuben Binns, Lilian Edwards
cs.LGcs.CRcs.CYarXiv:1807.04644v22018
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang, Hao Ye, Guanding Yu +1
cs.ITcs.LGarXiv:1907.03289v22019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu +1
stat.MLcs.LGarXiv:1904.09770v42019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang, Shali Jiang, Zhicheng Cui +2
cs.LGstat.MLarXiv:1904.11088v42019
Generalization as a robust performance property of learning-enabled dynamical systems
Filippo Fabiani
eess.SYcs.LGmath.OCarXiv:2608.30431v12026
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez +1
cs.CVcs.AIcs.LGarXiv:2101.05307v22021
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
cs.LGarXiv:1607.00122v12016
Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry
Kihun Rhee
cs.LGstat.MLarXiv:2608.30442v12026
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Yuning Mao, Lambert Mathias, Rui Hou +5
cs.CLcs.AIcs.LGarXiv:2110.07577v32021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami, Romit Maulik, Nesar Ramachandra +2
physics.flu-dyncs.LGphysics.comp-pharXiv:2101.00554v22021
Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones, Anca Dragan, Aditi Raghunathan +1
cs.LGcs.CLarXiv:2303.04381v12023
Higher-Dimensional Rotary Position Embedding
Yixing Li, Ruobing Xie, Yudong Zhang +3
cs.LGcs.AIcs.CLarXiv:2608.29715v12026
Neural Networks Fail to Learn Periodic Functions and How to Fix It
Liu Ziyin, Tilman Hartwig, Masahito Ueda
cs.LGstat.MLarXiv:2006.08195v22020
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro, Aviv Tamar, Shie Mannor
cs.LGcs.CYmath.OCarXiv:1206.6404v12012
Fast-Convergent Federated Learning with Adaptive Weighting
Hongda Wu, Ping Wang
cs.LGcs.AIarXiv:2012.00661v22020
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martinez, Martin Bertran, Guillermo Sapiro
stat.MLcs.LGarXiv:2011.01821v12020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
stat.MLcs.AIcs.LGarXiv:1910.06358v32019
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin Li, Jianwei Zhang +7
cs.LGcs.AIarXiv:2608.30295v12026
Adaptive Stress Testing for Autonomous Vehicles
Mark Koren, Saud Alsaif, Ritchie Lee +1
cs.ROcs.AIcs.LGarXiv:1902.01909v12019
Video Compression With Rate-Distortion Autoencoders
Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak +1
eess.IVcs.LGstat.MLarXiv:1908.05717v22019
Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation
Rusheb Shah, Quentin Feuillade--Montixi, Soroush Pour +3
cs.CLcs.AIcs.LGarXiv:2311.03348v22023
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
Ziyu Guo, Renrui Zhang, Xiangyang Zhu +8
cs.CVcs.AIcs.CLarXiv:2309.00615v12023
Convolutional Recurrent Neural Networks for Electrocardiogram Classification
Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen
cs.LGarXiv:1710.06122v22017
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Hanlin Tang, Xiangru Lian, Chen Yu +2
cs.DCcs.LGarXiv:1905.05957v32019
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia +4
cs.LGq-bio.NCstat.MLarXiv:1803.04566v22018
Biological Sequence Design with GFlowNets
Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia +10
q-bio.BMcs.LGarXiv:2203.04115v32022
Nash Learning from Human Feedback
Rémi Munos, Michal Valko, Daniele Calandriello +14
stat.MLcs.AIcs.GTarXiv:2312.00886v42023
Reconstruction and Membership Inference Attacks against Generative Models
Benjamin Hilprecht, Martin Härterich, Daniel Bernau
cs.CRcs.LGarXiv:1906.03006v12019
The Multilingual Amazon Reviews Corpus
Phillip Keung, Yichao Lu, György Szarvas +1
cs.CLcs.IRcs.LGarXiv:2010.02573v12020
Better Theory for SGD in the Nonconvex World
Ahmed Khaled, Peter Richtárik
math.OCcs.LGstat.MLarXiv:2002.03329v32020
Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga +3
cs.ROcs.LGeess.SYarXiv:2203.07747v52022
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen +3
cs.LGstat.MLarXiv:1805.10367v22018
Recurrent Attentional Networks for Saliency Detection
Jason Kuen, Zhenhua Wang, Gang Wang
cs.CVcs.LGstat.MLarXiv:1604.03227v12016
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir
cs.LGstat.MLarXiv:1106.2436v32011
Retrosynthesis Prediction with Conditional Graph Logic Network
Hanjun Dai, Chengtao Li, Connor W. Coley +2
cs.LGstat.MLarXiv:2001.01408v12020
Self-concordant analysis for logistic regression
Francis Bach
cs.LGmath.STarXiv:0910.4627v12009
What Large Language Models Know and What People Think They Know
Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar +5
cs.LGcs.AIcs.CLarXiv:2401.13835v22024
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
Hongyang Li, Chonghao Sima, Jifeng Dai +19
cs.CVcs.LGcs.ROarXiv:2209.05324v42022
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods
A. Adolfsson, M. Ackerman, N. C. Brownstein
stat.MLcs.LGarXiv:1808.08317v12018
Deep Learning for Anomaly Detection in Log Data: A Survey
Max Landauer, Sebastian Onder, Florian Skopik +1
cs.LGarXiv:2207.03820v22022
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang +2
cs.CVcs.LGarXiv:1803.01837v12018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin +2
cs.CVcs.LGstat.MLarXiv:1804.01118v12018
Code Prediction by Feeding Trees to Transformers
Seohyun Kim, Jinman Zhao, Yuchi Tian +1
cs.SEcs.LGarXiv:2003.13848v42020
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
eess.AScs.CLcs.LGarXiv:1811.07453v22018
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk +2
stat.MLcs.AIcs.CRarXiv:1709.06662v22017
Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia +2
cs.LGcs.AIcs.SEarXiv:1910.05923v12019
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Lei Wu, Zhanxing Zhu, Weinan E
cs.LGcs.AIstat.MLarXiv:1706.10239v22017
Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems
Ting-Hui Cheng, Line Katrine Harder Clemmensen, Sneha Das
cs.CLcs.LGarXiv:2608.30853v12026

Machine Learning

Classification using Hyperdimensional Computing: A Review

Sparse and Imperceivable Adversarial Attacks

Max-Sliced Wasserstein Distance and its use for GANs

Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Language GANs Falling Short

$\mathcal{N}_0$-Foundation: Towards the Age of Tactile Intelligence

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Reward-Free Exploration for Reinforcement Learning

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

PalmTree: Learning an Assembly Language Model for Instruction Embedding

Generalized Federated Learning via Sharpness Aware Minimization

Algorithms that Remember: Model Inversion Attacks and Data Protection Law

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

Generalization as a robust performance property of learning-enabled dynamical systems

Explainability of deep vision-based autonomous driving systems: Review and challenges

Less-forgetting Learning in Deep Neural Networks

Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

Automatically Auditing Large Language Models via Discrete Optimization

Higher-Dimensional Rotary Position Embedding

Neural Networks Fail to Learn Periodic Functions and How to Fix It

Policy Gradients with Variance Related Risk Criteria

Fast-Convergent Federated Learning with Adaptive Weighting

Minimax Pareto Fairness: A Multi Objective Perspective

Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration

Adaptive Stress Testing for Autonomous Vehicles

Video Compression With Rate-Distortion Autoencoders

Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Convolutional Recurrent Neural Networks for Electrocardiogram Classification

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

Biological Sequence Design with GFlowNets

Nash Learning from Human Feedback

Reconstruction and Membership Inference Attacks against Generative Models

The Multilingual Amazon Reviews Corpus

Better Theory for SGD in the Nonconvex World

Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

Recurrent Attentional Networks for Saliency Detection

From Bandits to Experts: On the Value of Side-Observations

Retrosynthesis Prediction with Conditional Graph Logic Network

Self-concordant analysis for logistic regression

What Large Language Models Know and What People Think They Know

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

To Cluster, or Not to Cluster: An Analysis of Clusterability Methods

Deep Learning for Anomaly Detection in Log Data: A Survey

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Synthesizing Programs for Images using Reinforced Adversarial Learning

Code Prediction by Feeding Trees to Transformers

The PyTorch-Kaldi Speech Recognition Toolkit

Verifying Properties of Binarized Deep Neural Networks

Code Generation as a Dual Task of Code Summarization

Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes

Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems