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.

Search paper metadata (including unsummarized papers)

3,061 to 3,120 of 20,193

On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang +2
cs.LGarXiv:1606.06630v22016
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
cs.ITcs.LGcs.NIarXiv:2011.10282v42020
Pre-training via Paraphrasing
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh +3
cs.CLcs.LGstat.MLarXiv:2006.15020v12020
Delay and Cooperation in Nonstochastic Bandits
Nicolo' Cesa-Bianchi, Claudio Gentile, Yishay Mansour +1
cs.LGarXiv:1602.04741v22016
Towards Adversarially Robust Object Detection
Haichao Zhang, Jianyu Wang
cs.CVcs.LGeess.IVarXiv:1907.10310v12019
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan, Xiao Wang, Yanhu Mo +2
cs.LGcs.AIarXiv:2209.14107v12022
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Zequn Sun, Jiacheng Huang, Wei Hu +3
cs.AIcs.CLcs.LGarXiv:2004.13579v12020
Deep Unknown Intent Detection with Margin Loss
Ting-En Lin, Hua Xu
cs.CLcs.LGarXiv:1906.00434v12019
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang, Wenhu Chen, Yuan-Fang Wang +1
cs.CLcs.AIcs.CVarXiv:1804.09160v22018
Active Adversarial Domain Adaptation
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn +3
cs.CVcs.LGarXiv:1904.07848v22019
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:1711.06929v12017
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2202.10448v22022
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
cs.LGcs.AIcs.CVarXiv:2110.01442v12021
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
Shashank Subramanian, Peter Harrington, Kurt Keutzer +4
cs.LGmath.NAarXiv:2306.00258v12023
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Ruobin Gao, Liang Du, P. N. Suganthan +2
cs.LGcs.AIeess.SParXiv:2107.14385v12021
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
cs.ROcs.AIcs.LGarXiv:1907.04799v22019
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?
Yuqiao Tan, Shizhu He, Jun Zhao +1
cs.AIcs.CLcs.LGarXiv:2609.09113v12026
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021
LLM Critics Help Catch LLM Bugs
Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe +3
cs.SEcs.LGarXiv:2407.00215v12024
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019
Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference
Muhammad Adnan, Akhil Arunkumar, Gaurav Jain +3
cs.LGcs.AIcs.ARarXiv:2403.09054v22024
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan, Wenhong Tian, Rajkumar Buyya
cs.DCcs.LGarXiv:2105.05079v12021
Overview frequency principle/spectral bias in deep learning
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo
cs.LGarXiv:2201.07395v42022
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi +2
stat.MLcs.CVcs.LGarXiv:1312.6965v12013
Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning
Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, Davide Murari +3
cs.AIcs.CLcs.ITarXiv:2609.09030v12026
Manifold learning: what, how, and why
Marina Meilă, Hanyu Zhang
stat.MLcs.LGarXiv:2311.03757v12023
Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths
Qihao Yuan
cs.AIcs.LGarXiv:2609.09001v12026
Machine Unlearning via Algorithmic Stability
Enayat Ullah, Tung Mai, Anup Rao +2
cs.LGstat.MLarXiv:2102.13179v12021
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Wangyang Chen, Abraham Noah Wu, Filip Biljecki
cs.CVcs.CYcs.LGarXiv:2105.09908v32021
Learning to Efficiently Sample from Diffusion Probabilistic Models
Daniel Watson, Jonathan Ho, Mohammad Norouzi +1
cs.LGarXiv:2106.03802v12021
A Survey of Code-switched Speech and Language Processing
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi +1
cs.CLcs.LGstat.MLarXiv:1904.00784v32019
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:2001.03690v22020
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
cs.LGarXiv:0811.1629v12008
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
cs.LGcs.CRstat.MLarXiv:2005.06149v12020
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
cs.LGcs.AIstat.MLarXiv:1906.00098v12019
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
Raphael Korbmacher, Antoine Tordeux
cs.LGphysics.soc-phstat.MLarXiv:2111.06740v22021
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
Ke Chen, Yusong Wu, Haohe Liu +3
cs.SDcs.AIcs.LGarXiv:2308.01546v12023
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
cs.LGstat.MLarXiv:1804.05464v32018
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
stat.MLcs.CYcs.LGarXiv:2007.10306v32020
Focus Is All You Need: Loss Functions For Event-based Vision
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
cs.CVcs.LGcs.ROarXiv:1904.07235v12019
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.DCcs.LGarXiv:2102.01854v42021
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
cs.LGcs.CVstat.MLarXiv:1905.05929v22019
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani +2
cs.LGcs.ROstat.MLarXiv:1804.02395v22018
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
cs.LGcs.CVcs.NEarXiv:2006.14536v22020
Learn to Combine Modalities in Multimodal Deep Learning
Kuan Liu, Yanen Li, Ning Xu +1
stat.MLcs.AIcs.LGarXiv:1805.11730v12018
Multiple instance active learning for object detection
Tianning Yuan, Fang Wan, Mengying Fu +4
cs.CVcs.AIcs.LGarXiv:2104.02324v12021
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network
Jing Zhang, Dacheng Tao
cs.CVcs.LGarXiv:1906.04334v22019
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed +1
eess.IVcs.CVcs.LGarXiv:2305.18453v52023
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang +3
cs.LGcs.CRarXiv:2206.10469v22022
On Feature Normalization and Data Augmentation
Boyi Li, Felix Wu, Ser-Nam Lim +2
cs.LGcs.CLcs.CVarXiv:2002.11102v32020
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
cs.LGstat.MLarXiv:1902.00744v22019
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019
Free Process Rewards without Process Labels
Lifan Yuan, Wendi Li, Huayu Chen +6
cs.LGcs.CLarXiv:2412.01981v12024
Can multi-label classification networks know what they don't know?
Haoran Wang, Weitang Liu, Alex Bocchieri +1
cs.LGarXiv:2109.14162v22021
BlenderProc
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5
cs.CVcs.GRcs.LGarXiv:1911.01911v12019
GEO-Bench: Toward Foundation Models for Earth Monitoring
Alexandre Lacoste, Nils Lehmann, Pau Rodriguez +14
cs.LGcs.CVarXiv:2306.03831v22023
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka +1
cs.CVcs.LGarXiv:1406.6507v12014
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie, Longhui Yuan, Shuang Li +3
cs.LGcs.CVarXiv:2112.01406v32021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh +1
cs.LGstat.MLarXiv:2010.14498v22020
FairBatch: Batch Selection for Model Fairness
Yuji Roh, Kangwook Lee, Steven Euijong Whang +1
cs.LGcs.AIstat.MLarXiv:2012.01696v22020

Machine Learning

On Multiplicative Integration with Recurrent Neural Networks

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach

Pre-training via Paraphrasing

Delay and Cooperation in Nonstochastic Bandits

Towards Adversarially Robust Object Detection

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

Deep Unknown Intent Detection with Margin Loss

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

Active Adversarial Domain Adaptation

Deep Gaussian Mixture Models

Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

Protein sequence design with deep generative models

LLM Critics Help Catch LLM Bugs

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

Overview frequency principle/spectral bias in deep learning

An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression

Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

Manifold learning: what, how, and why

Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths

Machine Unlearning via Algorithmic Stability

Classification of Urban Morphology with Deep Learning: Application on Urban Vitality

Learning to Efficiently Sample from Diffusion Probabilistic Models

A Survey of Code-switched Speech and Language Processing

Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

Stability Bound for Stationary Phi-mixing and Beta-mixing Processes

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

Spectral Perturbation Meets Incomplete Multi-view Data

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

On Gradient-Based Learning in Continuous Games

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction

Focus Is All You Need: Loss Functions For Event-based Vision

Provably Secure Federated Learning against Malicious Clients

Orthogonal Deep Neural Networks

Structured Evolution with Compact Architectures for Scalable Policy Optimization

Smooth Adversarial Training

Learn to Combine Modalities in Multimodal Deep Learning

Multiple instance active learning for object detection

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

The Privacy Onion Effect: Memorization is Relative

On Feature Normalization and Data Augmentation

Asymmetric Valleys: Beyond Sharp and Flat Local Minima

A Step Toward Quantifying Independently Reproducible Machine Learning Research

Free Process Rewards without Process Labels

Can multi-label classification networks know what they don't know?

BlenderProc

GEO-Bench: Toward Foundation Models for Earth Monitoring

Weakly-supervised Discovery of Visual Pattern Configurations

Active Learning for Domain Adaptation: An Energy-Based Approach

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

FairBatch: Batch Selection for Model Fairness