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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18,301 to 18,360 of 20,454

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
Gongbo Zhang, Wen Wang, Ye Tian +1
cs.CLcs.AIcs.LGarXiv:2604.26951v12026
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Ahmed Salem, Yang Zhang, Mathias Humbert +3
cs.CRcs.AIcs.LGarXiv:1806.01246v22018
DKN: Deep Knowledge-Aware Network for News Recommendation
Hongwei Wang, Fuzheng Zhang, Xing Xie +1
stat.MLcs.LGarXiv:1801.08284v22018
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan, Vivek Miglani, Miguel Martin +8
cs.LGcs.AIstat.MLarXiv:2009.07896v12020
Manopt, a Matlab toolbox for optimization on manifolds
Nicolas Boumal, Bamdev Mishra, P. -A. Absil +1
cs.MScs.LGmath.OCarXiv:1308.5200v12013
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour +1
cs.NIcs.DBcs.LGarXiv:1712.04301v22017
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk +2
cs.CLcs.AIcs.LGarXiv:1508.04395v22015
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
cs.CVcs.CLcs.LGarXiv:1511.02799v42015
Object-Centric Learning with Slot Attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner +5
cs.LGcs.CVstat.MLarXiv:2006.15055v22020
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li, Pan Zhou, Caiming Xiong +1
cs.CVcs.LGarXiv:2005.04966v52020
Membership Inference Attacks From First Principles
Nicholas Carlini, Steve Chien, Milad Nasr +3
cs.CRcs.LGarXiv:2112.03570v22021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang, Xuhui Meng, George Em Karniadakis
stat.MLcs.LGarXiv:2003.06097v12020
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
A General Language Assistant as a Laboratory for Alignment
Amanda Askell, Yuntao Bai, Anna Chen +19
cs.CLcs.LGarXiv:2112.00861v32021
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang, Alexandre Variengien, Arthur Conmy +2
cs.LGcs.AIcs.CLarXiv:2211.00593v12022
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella +4
cs.CVcs.ARcs.LGarXiv:1612.07119v12016
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1801.01944v22018
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
Leslie N. Smith
cs.LGcs.CVcs.NEarXiv:1803.09820v22018
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins, Hamed Hassani, Aryan Mokhtari +1
cs.LGmath.OCarXiv:2102.07078v32021
Carbon Emissions and Large Neural Network Training
David Patterson, Joseph Gonzalez, Quoc Le +6
cs.LGcs.CYarXiv:2104.10350v32021
Bottleneck Transformers for Visual Recognition
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar +3
cs.CVcs.AIcs.LGarXiv:2101.11605v22021
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li, Junpu Wang
cs.LGstat.MLarXiv:1910.03581v12019
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot, Thomas Schumm, Luke Metz
cs.LGstat.MLarXiv:1703.10717v42017
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy, Thomas Brox
cs.LGcs.CVcs.NEarXiv:1602.02644v22016
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen, Harri Valpola
cs.NEcs.LGstat.MLarXiv:1703.01780v62017
Online Self-Calibration Against Hallucination in Vision-Language Models
Minghui Chen, Chenxu Yang, Hengjie Zhu +3
cs.CVcs.LGarXiv:2605.00323v12026
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto, Abhinav Gupta
cs.LGcs.CVcs.ROarXiv:1509.06825v12015
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
Zhaoyang Li, Zhichao You, Tianrui Li
cs.CVcs.LGarXiv:2605.01466v22026
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, Charles Elkan +1
cs.LGarXiv:1511.03677v72015
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu +3
cs.LGarXiv:2202.03555v32022
BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis
Massimo Rondelli, Francesco Pivi, Maurizio Gabbrielli
cs.CVcs.AIcs.GRarXiv:2605.00632v12026
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela
cs.LGcs.CVarXiv:1209.1960v12012
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu, Russell Kaplan, Justin Johnson +1
cs.CVcs.LGarXiv:1807.09937v12018
Towards Customized Multimodal Role-Play
Chao Tang, Jianzong Wu, Qingyu Shi +5
cs.LGarXiv:2605.08129v12026
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou, Shangqing Liu, Jingkai Siow +2
cs.SEcs.CRcs.LGarXiv:1909.03496v12019
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang Shane Gu
cs.LGcs.AIstat.MLarXiv:2106.06860v22021
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris, Nikos Komodakis
cs.CVcs.LGarXiv:1804.09458v12018
Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro +3
cs.LGcs.DCarXiv:2111.04263v22021
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska +6
cs.CLcs.LGcs.NEarXiv:1506.07285v52015
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110
cs.SCcs.LGcs.MSarXiv:1605.02688v12016
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu, Ming Yang +1
cs.CVcs.LGcs.NEarXiv:1412.6115v12014
A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord, Matthias Bethge
stat.MLcs.LGarXiv:1511.01844v32015
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen +5
cs.LGcs.AIcs.NEarXiv:2003.00688v52020
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes +4
cs.LGcs.AIcs.CVarXiv:1802.08219v32018
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson, Andrej Karpathy, Li Fei-Fei
cs.CVcs.LGarXiv:1511.07571v12015
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao, Wenliang Zhao, Benlin Liu +3
cs.CVcs.AIcs.LGarXiv:2106.02034v22021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang, Peng Cao, Jiaqi Wang +1
cs.CVcs.LGeess.IVarXiv:2109.04335v32021
A Review of Feature Selection Methods Based on Mutual Information
Jorge R. Vergara, Pablo A. Estévez
cs.LGstat.MLarXiv:1509.07577v12015
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Jun Liu, Amir Shahroudy, Dong Xu +1
cs.CVcs.AIcs.LGarXiv:1607.07043v12016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon +1
cs.CVcs.LGcs.NEarXiv:1605.06457v12016
Causal inference using invariant prediction: identification and confidence intervals
Jonas Peters, Peter Bühlmann, Nicolai Meinshausen
stat.MEcs.LGarXiv:1501.01332v32015
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu +3
cs.LGstat.MLarXiv:2003.00982v52020
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang +1
cs.CVcs.LGarXiv:1904.03582v12019
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, Stephen Tyree +2
cs.LGcs.NEarXiv:1504.04788v12015
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
K R Prajwal, Rudrabha Mukhopadhyay, Vinay Namboodiri +1
cs.CVcs.LGcs.SDarXiv:2008.10010v12020
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Chongwen Huang, Sha Hu, George C. Alexandropoulos +5
cs.ITcs.LGarXiv:1911.12296v32019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder +3
cs.AIcs.CVcs.LGarXiv:1902.10178v12019
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan +5
cs.CLcs.AIcs.LGarXiv:1912.02164v42019
Holographic Embeddings of Knowledge Graphs
Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio
cs.AIcs.LGstat.MLarXiv:1510.04935v22015
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang, Fuzheng Zhang, Jialin Wang +4
cs.IRcs.LGstat.MLarXiv:1803.03467v42018

Machine Learning

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

DKN: Deep Knowledge-Aware Network for News Recommendation

Captum: A unified and generic model interpretability library for PyTorch

Manopt, a Matlab toolbox for optimization on manifolds

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

End-to-End Attention-based Large Vocabulary Speech Recognition

Neural Module Networks

Object-Centric Learning with Slot Attention

Prototypical Contrastive Learning of Unsupervised Representations

Membership Inference Attacks From First Principles

B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data

The LAMBADA dataset: Word prediction requiring a broad discourse context

A General Language Assistant as a Laboratory for Alignment

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Exploiting Shared Representations for Personalized Federated Learning

Carbon Emissions and Large Neural Network Training

Bottleneck Transformers for Visual Recognition

FedMD: Heterogenous Federated Learning via Model Distillation

BEGAN: Boundary Equilibrium Generative Adversarial Networks

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Online Self-Calibration Against Hallucination in Vision-Language Models

Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours

SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion

Learning to Diagnose with LSTM Recurrent Neural Networks

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

HiDDeN: Hiding Data With Deep Networks

Towards Customized Multimodal Role-Play

Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

A Minimalist Approach to Offline Reinforcement Learning

Dynamic Few-Shot Visual Learning without Forgetting

Federated Learning Based on Dynamic Regularization

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Theano: A Python framework for fast computation of mathematical expressions

Compressing Deep Convolutional Networks using Vector Quantization

A note on the evaluation of generative models

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

A Review of Feature Selection Methods Based on Mutual Information

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Virtual Worlds as Proxy for Multi-Object Tracking Analysis

Causal inference using invariant prediction: identification and confidence intervals

Benchmarking Graph Neural Networks

Multi-Label Image Recognition with Graph Convolutional Networks

Compressing Neural Networks with the Hashing Trick

A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild

Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

Unmasking Clever Hans Predictors and Assessing What Machines Really Learn

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Holographic Embeddings of Knowledge Graphs

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems