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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1,561 to 1,620 of 20,199

Universal Jailbreak Backdoors from Poisoned Human Feedback
Javier Rando, Florian Tramèr
cs.AIcs.CLcs.CRarXiv:2311.14455v42023
Zero-shot rib design: merging training-free generative prior with topology optimization
Yongmin Kwon, Namwoo Kang
cs.LGphysics.app-pharXiv:2609.10643v12026
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage
Daniel Galvez, Greg Diamos, Juan Ciro +7
cs.LGstat.MLarXiv:2111.09344v12021
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai +5
cs.LGcs.CLarXiv:2403.07300v32024
Halo: Improving forecast accuracy through heteroscedastic estimation
Adam Cataldo
cs.LGarXiv:2609.10589v12026
M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction
Wenzhe Jin, Haina Tang
cs.LGcs.CVarXiv:2609.10559v12026
Diverse Trajectory Forecasting with Determinantal Point Processes
Ye Yuan, Kris Kitani
cs.CVcs.LGcs.ROarXiv:1907.04967v22019
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal +5
cs.ROcs.LGstat.MLarXiv:2010.04296v22020
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data
Atindra Jha, Margaret Li, Jure Leskovec +2
cs.LGcs.CLarXiv:2609.11917v12026
HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu +2
cs.CVcs.LGeess.IVarXiv:2010.16219v22020
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis +2
cs.DBcs.LGarXiv:1807.06068v32018
Denoising Diffusion Samplers
Francisco Vargas, Will Grathwohl, Arnaud Doucet
cs.LGstat.MLarXiv:2302.13834v22023
Epistemic Neural Networks
Ian Osband, Zheng Wen, Seyed Mohammad Asghari +4
cs.LGcs.AIstat.MLarXiv:2107.08924v82021
Defending Against Model Stealing Attacks with Adaptive Misinformation
Sanjay Kariyappa, Moinuddin K Qureshi
stat.MLcs.CRcs.LGarXiv:1911.07100v12019
A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients
Suwan Wu, Yumeng Lin, Pengcheng Yuan +1
cs.AIcs.CLcs.LGarXiv:2609.11768v12026
SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control
Suwan Wu, Yumeng Lin, Pengcheng Yuan +1
cs.AIcs.CLcs.LGarXiv:2609.11752v12026
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari +10
cs.CLcs.AIcs.LGarXiv:2407.04069v22024
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Yi Duan, Ying Liu, Zirui Tang +30
cs.LGcs.AIcs.CLarXiv:2609.11873v12026
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
stat.MLcs.LGecon.EMarXiv:1905.12495v22019
Hidden Biases of End-to-End Driving Models
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2306.07957v22023
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro +5
cs.CVcs.LGarXiv:2006.06015v22020
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.AIcs.LGarXiv:1910.12903v52019
Why Does Post-Training Quantization Work?
Yuxiang Chen, Michael Beyer, Jun Zhu +1
cs.LGcs.CLarXiv:2609.11716v12026
Survey on reinforcement learning for language processing
Victor Uc-Cetina, Nicolas Navarro-Guerrero, Anabel Martin-Gonzalez +2
cs.CLcs.AIcs.LGarXiv:2104.05565v32021
VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents
Peiyuan Gao, Gaoyuan Zhang, Haojie Qin +5
cs.IRcs.AIcs.CLarXiv:2609.11390v12026
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
stat.APcs.LGeess.SYarXiv:1910.14563v22019
Analysis of Bayesian Classification based Approaches for Android Malware Detection
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams
cs.CRcs.LGarXiv:1608.05812v12016
LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry
Sankar Behera, Dhruv Singh, Anshika Agnihotri +3
cs.LGcs.CLarXiv:2609.11163v12026
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, Tamim Asfour
cs.LGcs.CLcs.ROarXiv:1705.06400v22017
Using machine learning to correct model error in data assimilation and forecast applications
Alban Farchi, Patrick Laloyaux, Massimo Bonavita +1
stat.MLcs.LGphysics.data-anarXiv:2010.12605v22020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy +4
cs.LGphysics.chem-phstat.MLarXiv:1908.01425v22019
Generative chemistry: drug discovery with deep learning generative models
Yuemin Bian, Xiang-Qun Xie
q-bio.BMcs.LGq-bio.QMarXiv:2008.09000v12020
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek, François Portet, Philippe Lalanda +1
cs.LGcs.AIcs.DCarXiv:2110.10223v12021
MUtE: A Dual Framework for Concept Erasure and Counterfactual Interventions
Antoine Saillenfest
cs.LGcs.CLarXiv:2609.11253v12026
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Cunha, Christophe Droz, Abdelmalek Zine +2
cs.LGcs.SDeess.ASarXiv:2204.06362v22022
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu, Quanting Xie, Vidhi Jain +20
cs.ROcs.AIcs.CVarXiv:2312.08782v32023
Deep linear neural networks with arbitrary loss: All local minima are global
Thomas Laurent, James von Brecht
cs.LGstat.MLarXiv:1712.01473v22017
REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving
Tuan Nguyen, Qiran Hu, Banruo Liu +3
cs.LGcs.CLcs.IRarXiv:2609.11209v12026
Learning Visuotactile Skills with Two Multifingered Hands
Toru Lin, Yu Zhang, Qiyang Li +4
cs.ROcs.AIcs.CVarXiv:2404.16823v22024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu, Zitao Li, Yaliang Li +2
cs.LGcs.CLcs.DCarXiv:2406.17706v12024
Iterative Instance Segmentation
Ke Li, Bharath Hariharan, Jitendra Malik
cs.CVcs.LGarXiv:1511.08498v32015
The Oligarch Barely Steers Model Collapse in Multi-Model Ecosystems
Yangze Liu, Zhongyi Han
cs.AIcs.CLcs.LGarXiv:2609.11146v12026
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif +2
cs.LGcs.NIstat.MLarXiv:2008.02327v12020
Transferability in Deep Learning: A Survey
Junguang Jiang, Yang Shu, Jianmin Wang +1
cs.LGarXiv:2201.05867v12022
The information geometry of large language models is shared, learned, and controllable
Dario Picozzi
cs.LGcs.CLarXiv:2609.11063v12026
Principal Graphs and Manifolds
A. N. Gorban, A. Y. Zinovyev
cs.LGcs.NEstat.MLarXiv:0809.0490v22008
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios
Shilian Zheng, Shichuan Chen, Peihan Qi +2
eess.SPcs.LGarXiv:1909.06020v12019
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah, Vikrant Varma, Ramana Kumar +4
cs.LGarXiv:2210.01790v22022
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev +2
cs.CYcs.AIcs.CLarXiv:2305.03123v42023
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan, Seowung Leem, Kyle B. See +3
cs.LGcs.AIcs.CVarXiv:2406.10729v32024
Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble
Jorio Cocola, Lev McKinney, Harry Mayne +2
cs.LGcs.AIcs.CLarXiv:2609.10883v12026
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Xisuo Ma, Zhen Gao, Feifei Gao +1
cs.ITcs.AIcs.LGarXiv:2104.11052v32021
Beyond Solver Verdicts: Generative Reward Models for Autoformalization
Vikash Singh, Debargha Ganguly, Aman Goel +5
cs.LGcs.CLarXiv:2609.11085v12026
Unbiased split variable selection for random survival forests using maximally selected rank statistics
Marvin N. Wright, Theresa Dankowski, Andreas Ziegler
stat.MLcs.LGarXiv:1605.03391v22016
New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models
Sourajit Saha, Shubhashis Roy Dipta, Nobin Sarwar +4
cs.CVcs.AIcs.CLarXiv:2609.11022v12026
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
Shulei Ji, Jing Luo, Xinyu Yang
cs.SDcs.LGeess.ASarXiv:2011.06801v12020
Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2
William Novak, Muhammad Abusaqer
cs.CRcs.CLcs.LGarXiv:2609.10935v12026
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn, Tianjian Huang, Songtao Lu +3
math.OCcs.LGstat.MLarXiv:2006.08141v22020
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris +1
cs.ARcs.LGarXiv:2203.08737v12022
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li +5
cs.LGcs.AIarXiv:2410.12261v52024

Machine Learning

Universal Jailbreak Backdoors from Poisoned Human Feedback

Zero-shot rib design: merging training-free generative prior with topology optimization

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Halo: Improving forecast accuracy through heteroscedastic estimation

M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction

Diverse Trajectory Forecasting with Determinantal Point Processes

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data

HOI Analysis: Integrating and Decomposing Human-Object Interaction

Automated Data Slicing for Model Validation:A Big data - AI Integration Approach

Denoising Diffusion Samplers

Epistemic Neural Networks

Defending Against Model Stealing Attacks with Adaptive Misinformation

A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients

SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

Deep Generalized Method of Moments for Instrumental Variable Analysis

Hidden Biases of End-to-End Driving Models

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

Why Does Post-Training Quantization Work?

Survey on reinforcement learning for language processing

VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents

EnergyStar++: Towards more accurate and explanatory building energy benchmarking

Analysis of Bayesian Classification based Approaches for Android Malware Detection

LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry

Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks

Using machine learning to correct model error in data assimilation and forecast applications

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

Generative chemistry: drug discovery with deep learning generative models

A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison

MUtE: A Dual Framework for Concept Erasure and Counterfactual Interventions

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Deep linear neural networks with arbitrary loss: All local minima are global

REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving

Learning Visuotactile Skills with Two Multifingered Hands

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model

Iterative Instance Segmentation

The Oligarch Barely Steers Model Collapse in Multi-Model Ecosystems

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection

Transferability in Deep Learning: A Survey

The information geometry of large language models is shared, learned, and controllable

Principal Graphs and Manifolds

Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review

A Comprehensive Survey of Foundation Models in Medicine

Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble

Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems

Beyond Solver Verdicts: Generative Reward Models for Autoformalization

Unbiased split variable selection for random survival forests using maximally selected rank statistics

New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances

Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching