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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1,801 to 1,860 of 20,454

Isotropic PCA and Affine-Invariant Clustering
S. Charles Brubaker, Santosh S. Vempala
cs.LGcs.CGarXiv:0804.3575v22008
Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig +1
cs.CLcs.LGstat.MLarXiv:1808.08493v12018
Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu +2
cs.LGcs.CVarXiv:2106.10410v22021
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao, Wei Du, Fangqi Li +2
cs.LGcs.AIcs.CRarXiv:2208.12268v32022
Flow Duality and Source Geometry for Categorical Generation
Etrit Haxholli
cs.LGstat.MLarXiv:2609.10863v12026
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang +5
cs.CLcs.LGarXiv:2412.11376v12024
Processing and classifying bird songs using wavelet techniques and supervised learning
Laura Lucia Dominguez Barrios, Fidel Aniano Causil Barrios, Alex Rodrigo dos Santos Sousa +1
cs.LGstat.MEarXiv:2609.10826v12026
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan +4
cs.ROcs.AIcs.LGarXiv:1910.02812v12019
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Romain Lopez, Achille Nazaret, Maxime Langevin +4
cs.LGq-bio.GNstat.MLarXiv:1905.02269v12019
Mind Reader: Reconstructing complex images from brain activities
Sikun Lin, Thomas Sprague, Ambuj K Singh
q-bio.NCcs.CVcs.HCarXiv:2210.01769v12022
From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs
Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang +1
cs.LGarXiv:2609.10781v12026
Column Networks for Collective Classification
Trang Pham, Truyen Tran, Dinh Phung +1
cs.LGcs.AIstat.MLarXiv:1609.04508v22016
Conformal PID Control for Time Series Prediction
Anastasios N. Angelopoulos, Emmanuel J. Candes, Ryan J. Tibshirani
cs.LGeess.SYstat.MEarXiv:2307.16895v12023
Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors
Samuel B. Hopkins, Tselil Schramm, Jonathan Shi +1
cs.DScs.CCcs.LGarXiv:1512.02337v22015
Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
Manisha Kandel
cs.LGcs.AIarXiv:2609.10752v12026
Federated Learning Meets Multi-objective Optimization
Zeou Hu, Kiarash Shaloudegi, Guojun Zhang +1
cs.LGstat.MLarXiv:2006.11489v22020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
cs.LGstat.MLarXiv:2007.11091v22020
Sum-of-Squares Polynomial Flow
Priyank Jaini, Kira A. Selby, Yaoliang Yu
cs.LGstat.MLarXiv:1905.02325v22019
The emergence of clusters in self-attention dynamics
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy +1
cs.LGmath.APstat.MLarXiv:2305.05465v62023
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang, Mingyang Yi, Xuyang Zhao +1
cs.LGcs.AIcs.CVarXiv:2111.00743v42021
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun +5
stat.MLcs.LGarXiv:1705.10470v32017
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn +1
cs.LGmath.OCstat.MLarXiv:1802.08249v22018
GeoDA: a geometric framework for black-box adversarial attacks
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard +1
cs.CVcs.CRcs.LGarXiv:2003.06468v12020
Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
cs.LGstat.MLarXiv:1902.03045v12019
Conformal Calibration Transfer
Achref Doula
cs.LGstat.MLarXiv:2609.10737v12026
GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models
Xuan Cuong Ngo, Hao Vo, Ngan Le
cs.LGarXiv:2609.10658v12026
Improving Multimodal Datasets with Image Captioning
Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco +2
cs.LGcs.CVarXiv:2307.10350v22023
Byzantine-Robust Federated Fire Detection with a Rotating Coordinator
Georgia Argyrou, Aymen Bahrouny, Hedi Fendriy +1
cs.LGarXiv:2609.10647v12026
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1910.14356v22019
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio +3
cs.LGarXiv:2206.03126v12022
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
George Michalopoulos, Yuanxin Wang, Hussam Kaka +2
cs.CLcs.AIcs.LGarXiv:2010.10391v52020
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

Machine Learning

Isotropic PCA and Affine-Invariant Clustering

Contextual Parameter Generation for Universal Neural Machine Translation

Deep Generative Learning via Schrödinger Bridge

FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

Flow Duality and Source Geometry for Categorical Generation

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Processing and classifying bird songs using wavelet techniques and supervised learning

Policies Modulating Trajectory Generators

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

Mind Reader: Reconstructing complex images from brain activities

From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs

Column Networks for Collective Classification

Conformal PID Control for Time Series Prediction

Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification

Federated Learning Meets Multi-objective Optimization

EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL

Sum-of-Squares Polynomial Flow

The emergence of clusters in self-attention dynamics

Towards the Generalization of Contrastive Self-Supervised Learning

Iterative Machine Teaching

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

GeoDA: a geometric framework for black-box adversarial attacks

Partial Label Learning with Self-Guided Retraining

Conformal Calibration Transfer

GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models

Improving Multimodal Datasets with Image Captioning

Byzantine-Robust Federated Fire Detection with a Rotating Coordinator

Certifiable Robustness to Graph Perturbations

Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse

UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus

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