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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10,381 to 10,440 of 20,193

Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Axel Abels, Diederik M. Roijers, Tom Lenaerts +2
cs.LGcs.AIstat.MLarXiv:1809.07803v22018
Third-Person Imitation Learning
Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever
cs.LGarXiv:1703.01703v22017
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie A. Smith +5
cs.LGstat.MLarXiv:1803.02329v12018
AdaPlanner: Adaptive Planning from Feedback with Language Models
Haotian Sun, Yuchen Zhuang, Lingkai Kong +2
cs.CLcs.AIcs.LGarXiv:2305.16653v12023
Federated Visual Classification with Real-World Data Distribution
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
cs.LGcs.CVstat.MLarXiv:2003.08082v32020
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji +3
cs.LGmath.OCstat.MLarXiv:1905.09997v52019
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang, Ersin Yumer, Paul Asente +3
cs.CVcs.LGarXiv:1706.02337v12017
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification
Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi +1
stat.MLcs.LGarXiv:1812.09444v12018
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil +1
stat.MLcs.LGarXiv:2006.16218v22020
Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang +6
cs.IRcs.AIcs.LGarXiv:2105.06339v12021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert, Benjamin Nachman
hep-phcs.LGhep-exarXiv:2102.02770v12021
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li, Xiaobo Xia, Shiming Ge +1
cs.CVcs.AIcs.LGarXiv:2203.04181v12022
Generating Fact Checking Explanations
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
cs.CLcs.AIcs.LGarXiv:2004.05773v12020
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Zhifei Xie, Changqiao Wu
cs.AIcs.CLcs.HCarXiv:2408.16725v32024
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunović +1
cs.AIcs.LGarXiv:2310.07298v22023
Multi-Modal Hallucination Control by Visual Information Grounding
Alessandro Favero, Luca Zancato, Matthew Trager +5
cs.CVcs.CLcs.LGarXiv:2403.14003v12024
Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, J. Edward Hu +3
cs.LGcs.CVcs.NEarXiv:2002.08118v52020
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
stat.MLcs.LGmath.STarXiv:2105.07536v42021
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White
cs.LGcs.AIcs.CLarXiv:2407.01603v32024
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo, Jianfeng Zhan, Lei Wang +1
cs.LGcs.AIstat.MLarXiv:1702.05870v52017
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu, Weixun Wang, Hangtian Jia +5
cs.LGcs.AIarXiv:2011.02669v12020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul +3
cs.LGstat.MLarXiv:2010.15110v12020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu, Dehan Kong, Jana Lipkova +5
eess.IVcs.CVcs.LGarXiv:2009.10190v22020
Understanding Membership Inferences on Well-Generalized Learning Models
Yunhui Long, Vincent Bindschaedler, Lei Wang +5
cs.CRcs.LGstat.MLarXiv:1802.04889v12018
Rearrangement: A Challenge for Embodied AI
Dhruv Batra, Angel X. Chang, Sonia Chernova +9
cs.AIcs.CVcs.LGarXiv:2011.01975v12020
Gmail Smart Compose: Real-Time Assisted Writing
Mia Xu Chen, Benjamin N Lee, Gagan Bansal +9
cs.CLcs.LGarXiv:1906.00080v12019
MedMamba: Vision Mamba for Medical Image Classification
Yubiao Yue, Zhenzhang Li
eess.IVcs.CVcs.LGarXiv:2403.03849v52024
Nested Hierarchical Dirichlet Processes
John Paisley, Chong Wang, David M. Blei +1
stat.MLcs.LGarXiv:1210.6738v42012
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction
Yong Luo, Dacheng Tao, Yonggang Wen +2
stat.MLcs.CVcs.LGarXiv:1502.02330v12015
Deep Multimodal Learning for Audio-Visual Speech Recognition
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
cs.CLcs.LGarXiv:1501.05396v12015
A note on the triangle inequality for the Jaccard distance
Sven Kosub
cs.DMcs.IRcs.LGarXiv:1612.02696v12016
Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps
Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio +2
cs.SEcs.CVcs.LGarXiv:1802.02312v22018
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang +6
cs.CVcs.AIcs.LGarXiv:2111.01236v22021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang +5
eess.SPcs.AIcs.CVarXiv:2109.01824v12021
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos +1
stat.MLcs.LGarXiv:1905.10427v22019
On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel L. Smith, Benoit Dherin, David G. T. Barrett +1
cs.LGstat.MLarXiv:2101.12176v12021
Adversarial Filters of Dataset Biases
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula +4
cs.LGcs.AIcs.CLarXiv:2002.04108v32020
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Thang D. Bui, Daniel Hernández-Lobato, Yingzhen Li +2
stat.MLcs.LGarXiv:1602.04133v12016
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu, Yuanzhi Li +3
cs.LGcs.AIstat.MLarXiv:1807.03858v52018
2 OLMo 2 Furious
Team OLMo, Pete Walsh, Luca Soldaini +40
cs.CLcs.LGarXiv:2501.00656v32024
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov, Kushal Tirumala, Hassan Shapourian +2
cs.CLcs.LGstat.MLarXiv:2403.17887v22024
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
cs.LGcs.AIcs.CVarXiv:1711.10125v32017
Progressive Prompts: Continual Learning for Language Models
Anastasia Razdaibiedina, Yuning Mao, Rui Hou +3
cs.CLcs.AIcs.LGarXiv:2301.12314v12023
Defending Against Indirect Prompt Injection Attacks With Spotlighting
Keegan Hines, Gary Lopez, Matthew Hall +3
cs.CRcs.CLcs.LGarXiv:2403.14720v12024
Autoregressive Diffusion Models
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings +3
cs.LGstat.MLarXiv:2110.02037v22021
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers +21
cs.LGcs.CVarXiv:2210.04620v32022
Combined Scaling for Zero-shot Transfer Learning
Hieu Pham, Zihang Dai, Golnaz Ghiasi +9
cs.LGcs.CLcs.CVarXiv:2111.10050v32021
ViNT: A Foundation Model for Visual Navigation
Dhruv Shah, Ajay Sridhar, Nitish Dashora +4
cs.ROcs.CVcs.LGarXiv:2306.14846v22023
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner +3
cs.ROcs.AIcs.LGarXiv:1906.08880v22019
TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization
Shiliang Xiao
cs.CLcs.LGarXiv:2608.29564v12026
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz +4
cs.LGstat.MLarXiv:1806.03514v22018
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang +2
cs.SIcs.IRcs.LGarXiv:2006.06867v22020
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
Wonbong Jang, Lourdes Agapito
cs.GRcs.CVcs.LGarXiv:2109.01750v12021
Structured Pruning Learns Compact and Accurate Models
Mengzhou Xia, Zexuan Zhong, Danqi Chen
cs.CLcs.LGarXiv:2204.00408v32022
LoGo: Token-Level Dynamic Local-Global Attention
Yuqi Pan, Zheng Li, Bohao Tang +2
cs.CLcs.LGarXiv:2608.29539v12026
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
cs.LGcs.CRstat.MLarXiv:2004.05703v12020
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Phillip Rieger, Thien Duc Nguyen, Markus Miettinen +1
cs.CRcs.LGarXiv:2201.00763v12022
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song, Mai Xu, Jianyi Wang +3
cs.CVcs.LGarXiv:1710.10755v52017
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Yujun Lin, Haotian Tang, Shang Yang +4
cs.CLcs.AIcs.LGarXiv:2405.04532v32024
A Simple Convergence Proof of Adam and Adagrad
Alexandre Défossez, Léon Bottou, Francis Bach +1
stat.MLcs.LGarXiv:2003.02395v32020

Machine Learning

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Third-Person Imitation Learning

Learning Memory Access Patterns

AdaPlanner: Adaptive Planning from Feedback with Language Models

Federated Visual Classification with Real-World Data Distribution

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification

On the Iteration Complexity of Hypergradient Computation

Graph Learning based Recommender Systems: A Review

A Living Review of Machine Learning for Particle Physics

Selective-Supervised Contrastive Learning with Noisy Labels

Generating Fact Checking Explanations

Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Multi-Modal Hallucination Control by Visual Information Grounding

Randomized Smoothing of All Shapes and Sizes

Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

A Review of Large Language Models and Autonomous Agents in Chemistry

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Understanding Membership Inferences on Well-Generalized Learning Models

Rearrangement: A Challenge for Embodied AI

Gmail Smart Compose: Real-Time Assisted Writing

MedMamba: Vision Mamba for Medical Image Classification

Nested Hierarchical Dirichlet Processes

Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

Deep Multimodal Learning for Audio-Visual Speech Recognition

A note on the triangle inequality for the Jaccard distance

Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

DIVA: Domain Invariant Variational Autoencoders

On the Origin of Implicit Regularization in Stochastic Gradient Descent

Adversarial Filters of Dataset Biases

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

2 OLMo 2 Furious

The Unreasonable Ineffectiveness of the Deeper Layers

Learning to cluster in order to transfer across domains and tasks

Progressive Prompts: Continual Learning for Language Models

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Autoregressive Diffusion Models

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Combined Scaling for Zero-shot Transfer Learning

ViNT: A Foundation Model for Visual Navigation

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

Detection of Novel Social Bots by Ensembles of Specialized Classifiers

CodeNeRF: Disentangled Neural Radiance Fields for Object Categories

Structured Pruning Learns Compact and Accurate Models

LoGo: Token-Level Dynamic Local-Global Attention

DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

A Simple Convergence Proof of Adam and Adagrad