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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8,761 to 8,820 of 20,193

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Xiaoliang Chen, Baojia Li, Roberto Proietti +3
cs.NIcs.LGeess.SParXiv:1905.02248v22019
CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning
Chao Feng, Burkhard Stiller
cs.LGcs.DCarXiv:2609.02450v12026
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
cs.LGcs.CVcs.SDarXiv:1812.11214v32018
DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation
Wei Zhang, Hongji Li, Song Sun +4
cs.LGarXiv:2609.02170v12026
Compositional Spectral Prompts for LLM-based Online Time Series Forecasting
Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee +1
cs.LGarXiv:2609.02093v12026
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
stat.MLcs.CRcs.LGarXiv:1912.11279v12019
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer, Gilles Louppe, Juan Pavez +1
stat.MLcs.LGhep-pharXiv:1805.12244v42018
Model Reconstruction from Model Explanations
Smitha Milli, Ludwig Schmidt, Anca D. Dragan +1
stat.MLcs.LGarXiv:1807.05185v12018
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei, Ji-Rong Wen
cs.LGcs.AIarXiv:2202.03580v52022
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Jonathan Hayase, Weihao Kong, Raghav Somani +1
cs.LGcs.AIstat.MLarXiv:2104.11315v12021
Gradient Inversion with Generative Image Prior
Jinwoo Jeon, Jaechang Kim, Kangwook Lee +2
cs.LGarXiv:2110.14962v12021
Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle
Angshul Majumdar
cs.LGarXiv:2609.01689v12026
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Gopal Sharma, Difan Liu, Subhransu Maji +3
cs.CVcs.LGarXiv:2003.12181v52020
Dutch Books for Language Models
Isaiah Andrews, Suproteem Sarkar
econ.GNcs.AIcs.CLarXiv:2609.02797v12026
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Kai Wang +2
cs.CVcs.LGarXiv:2205.04183v32022
More Adaptive Algorithms for Adversarial Bandits
Chen-Yu Wei, Haipeng Luo
cs.LGstat.MLarXiv:1801.03265v32018
Transferability and Hardness of Supervised Classification Tasks
Anh T. Tran, Cuong V. Nguyen, Tal Hassner
cs.LGcs.CVstat.MLarXiv:1908.08142v12019
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Abdullah Al-Dujaili, Alex Huang, Erik Hemberg +1
cs.CRcs.LGstat.MLarXiv:1801.02950v32018
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
cs.LGstat.MLarXiv:1905.11659v32019
PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
cs.LGcs.CVarXiv:2110.00061v32021
BAFFLE : Blockchain Based Aggregator Free Federated Learning
Paritosh Ramanan, Kiyoshi Nakayama
cs.LGcs.CRcs.DCarXiv:1909.07452v32019
The importance of stain normalization in colorectal tissue classification with convolutional networks
Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi +6
cs.CVcs.LGarXiv:1702.05931v22017
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
Qiaohao Liang, Aldair E. Gongora, Zekun Ren +12
cond-mat.mtrl-scics.LGphysics.data-anarXiv:2106.01309v12021
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha +2
cs.CLcs.LGarXiv:2110.07814v22021
Training seeds and model-selection stability in recommender-system evaluation
Juan Manuel Rodriguez, Oleg Lesota, Antonela Tommasel
cs.IRcs.LGarXiv:2609.02499v12026
Neither hype nor gloom do DNNs justice
Felix A. Wichmann, Simon Kornblith, Robert Geirhos
cs.LGcs.CVq-bio.NCarXiv:2312.05355v12023
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.FLarXiv:1711.09576v42017
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park, Kevin Frans, Benjamin Eysenbach +1
cs.LGcs.AIarXiv:2410.20092v22024
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Junying Chen, Chi Gui, Ruyi Ouyang +10
cs.CVcs.AIcs.CLarXiv:2406.19280v42024
Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke, Lydia Zakynthinou
cs.LGcs.CRcs.DSarXiv:2001.09122v32020
Deep Learning for Survival Analysis: A Review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend +2
stat.MLcs.LGarXiv:2305.14961v42023
FORGE: Forward-Only Test-Time Adaptation for Integer-Only Vision Models on Microcontrollers
Muhammad Rehan, Haider Ali, Muhammad Ali Munir +1
cs.CVcs.ARcs.LGarXiv:2609.01683v12026
IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss
Mushir Akhtar, M. Tanveer
cs.LGarXiv:2609.02422v12026
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Zekun Ren, Siyu Isaac Parker Tian, Juhwan Noh +14
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2005.07609v32020
Reinforcement Learning from Imperfect Demonstrations
Yang Gao, Huazhe Xu, Ji Lin +3
cs.AIcs.LGstat.MLarXiv:1802.05313v22018
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Szu-Wei Fu, Yu Tsao, Xugang Lu +1
stat.MLcs.LGcs.SDarXiv:1703.02205v32017
Generative Models for Effective ML on Private, Decentralized Datasets
Sean Augenstein, H. Brendan McMahan, Daniel Ramage +5
cs.LGstat.MLarXiv:1911.06679v22019
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Yifei Zhou, Andrea Zanette, Jiayi Pan +2
cs.LGcs.AIcs.CLarXiv:2402.19446v12024
Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models
Piyush Sao
cs.LGcs.ITmath.NAarXiv:2609.02155v12026
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1804.06451v22018
RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection
Taufikur Rahman Fuad, Md Abrar Jahin, Amir Hussain
cs.LGcs.AIarXiv:2609.02497v12026
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous, Michael J. Ryan, Alan Ritter +1
cs.CLcs.AIcs.LGarXiv:2305.14456v42023
Multi-modal Dense Video Captioning
Vladimir Iashin, Esa Rahtu
cs.CVcs.CLcs.LGarXiv:2003.07758v22020
Quantum machine learning for image classification
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva +2
quant-phcs.CVcs.LGarXiv:2304.09224v22023
Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon, Smitha Milli, Anca D. Dragan
cs.LGcs.AIcs.HCarXiv:2002.04833v42020
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2310.16028v12023
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi +1
cs.CLcs.AIcs.LGarXiv:2202.11705v32022
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang +5
cs.LGcs.CVcs.NEarXiv:1910.12827v52019
On the Representation Collapse of Sparse Mixture of Experts
Zewen Chi, Li Dong, Shaohan Huang +9
cs.CLcs.LGarXiv:2204.09179v32022
Convergence of score-based generative modeling for general data distributions
Holden Lee, Jianfeng Lu, Yixin Tan
cs.LGmath.PRmath.STarXiv:2209.12381v22022
Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents
Yanting Yang, Can Jin, Jinman Zhao +6
cs.LGarXiv:2609.02042v12026
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen, Zhe Gan, Yu Cheng +3
cs.CLcs.CVcs.LGarXiv:2006.14744v32020
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley +1
cs.LGcs.CVstat.MLarXiv:1304.4344v12013
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li, Tonghan Wang, Chengjie Wu +3
cs.LGarXiv:2106.02195v22021
DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving
Qisong Guo, Jingtang Chen, Zhilin Chen +4
cs.LGcs.ROarXiv:2609.01609v12026
Bayesian Structure Learning with Generative Flow Networks
Tristan Deleu, António Góis, Chris Emezue +4
cs.LGstat.MLarXiv:2202.13903v22022
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
Uri Shaham, Maor Ivgi, Avia Efrat +2
cs.CLcs.AIcs.LGarXiv:2305.14196v32023
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
Tianfei Zhou, Shunzhou Wang, Yi Zhou +3
cs.CVcs.LGeess.IVarXiv:2003.04253v32020
Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds
Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink
cs.CRcs.LGarXiv:2609.02568v12026

Machine Learning

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

Kymatio: Scattering Transforms in Python

DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation

Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

On Constrained Spectral Clustering and Its Applications

Mining gold from implicit models to improve likelihood-free inference

Model Reconstruction from Model Explanations

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

Gradient Inversion with Generative Image Prior

Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

Dutch Books for Language Models

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

More Adaptive Algorithms for Adversarial Bandits

Transferability and Hardness of Supervised Classification Tasks

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

PubTables-1M: Towards comprehensive table extraction from unstructured documents

BAFFLE : Blockchain Based Aggregator Free Federated Learning

The importance of stain normalization in colorectal tissue classification with convolutional networks

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

Meta-learning via Language Model In-context Tuning

Training seeds and model-selection stability in recommender-system evaluation

Neither hype nor gloom do DNNs justice

Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples

OGBench: Benchmarking Offline Goal-Conditioned RL

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reasoning About Generalization via Conditional Mutual Information

Deep Learning for Survival Analysis: A Review

FORGE: Forward-Only Test-Time Adaptation for Integer-Only Vision Models on Microcontrollers

IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss

An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties

Reinforcement Learning from Imperfect Demonstrations

Raw Waveform-based Speech Enhancement by Fully Convolutional Networks

Generative Models for Effective ML on Private, Decentralized Datasets

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models

Multi-Reward Reinforced Summarization with Saliency and Entailment

RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Multi-modal Dense Video Captioning

Quantum machine learning for image classification

Reward-rational (implicit) choice: A unifying formalism for reward learning

What Algorithms can Transformers Learn? A Study in Length Generalization

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

Entity Abstraction in Visual Model-Based Reinforcement Learning

On the Representation Collapse of Sparse Mixture of Experts

Convergence of score-based generative modeling for general data distributions

Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents

Graph Optimal Transport for Cross-Domain Alignment

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving

Bayesian Structure Learning with Generative Flow Networks

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds