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)

8,581 to 8,640 of 20,199

Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
Parsa Moradi, Mohammad Ali Maddah-Ali
cs.LGcs.ITarXiv:2609.00552v12026
OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
Shuze Daniel Liu, David Simchi-Levi, Claire Chen +2
cs.LGarXiv:2609.01933v12026
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo +1
cs.LGcs.CLstat.MLarXiv:1805.02917v12018
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
cs.CVcs.AIcs.LGarXiv:2209.10767v22022
Non-Local Graph Neural Networks
Meng Liu, Zhengyang Wang, Shuiwang Ji
cs.LGstat.MLarXiv:2005.14612v22020
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma, Xiaorui Liu, Tong Zhao +3
cs.LGstat.MLarXiv:2010.01777v22020
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krähenbühl, Carl Doersch, Jeff Donahue +1
cs.CVcs.LGarXiv:1511.06856v32015
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGarXiv:2203.08669v22022
Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
Giuseppe C. Calafiore
eess.SYcs.LGmath.OCarXiv:2609.01355v12026
A Mathematical Theory of Reusable Neural Bases for Network Compression
Binshuai Wang, Peng Wei
cs.LGcs.AIarXiv:2609.01550v22026
FCN-Transformer Feature Fusion for Polyp Segmentation
Edward Sanderson, Bogdan J. Matuszewski
eess.IVcs.CVcs.LGarXiv:2208.08352v12022
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Zhining Liu, Wei Cao, Zhifeng Gao +4
cs.LGcs.AIstat.MLarXiv:1909.03500v32019
Panoptic Lifting for 3D Scene Understanding with Neural Fields
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Buló +4
cs.CVcs.LGarXiv:2212.09802v12022
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Séjourné, Nicolas Courty +1
cs.LGmath.STstat.MLarXiv:2103.03606v12021
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang, Jianguo Zhang, Weidong Bao +3
cs.LGcs.AIcs.DCarXiv:1809.03428v32018
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy
Min Ye, Alexander Barg
cs.LGcs.ITarXiv:1702.00610v12017
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun +7
cs.LGcs.AIcs.CLarXiv:2410.01943v12024
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski +3
cs.CLcs.AIcs.LGarXiv:2312.07559v22023
An Intuitive Tutorial to Gaussian Process Regression
Jie Wang
stat.MLcs.LGcs.ROarXiv:2009.10862v52020
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Patrice Béchard, Orlando Marquez Ayala
cs.LGcs.AIcs.CLarXiv:2404.08189v12024
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis, Jonathan Cook, Skander Moalla +5
cs.LGcs.MAarXiv:2212.07489v22022
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg +1
cs.LGphysics.chem-phstat.MLarXiv:1703.10603v12017
Privacy Amplification by Iteration
Vitaly Feldman, Ilya Mironov, Kunal Talwar +1
cs.LGcs.CRcs.DSarXiv:1808.06651v22018
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou, Wanxiang Che, Yongkui Lai +4
cs.CLcs.LGarXiv:2006.05702v12020
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi
cs.LGphysics.app-phstat.MLarXiv:1902.03865v32019
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist, Chengyuan Yao, Tal Ben-Nun +4
cs.LGeess.SPphysics.ao-pharXiv:2005.08748v22020
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Tugba Erpek, Yalin E. Sagduyu, Yi Shi
cs.NIcs.LGstat.MLarXiv:1807.02567v22018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta +2
cs.LGcs.CRcs.CVarXiv:2006.12557v32020
Continuous Graph Neural Networks
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
cs.LGstat.MLarXiv:1912.00967v32019
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang, Zhiwei Qin, Fan Zhang +5
cs.LGcs.AIarXiv:2106.04493v12021
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu, Chaowei Xiao, Lei Yang +3
cs.LGcs.CRcs.CVarXiv:1906.07927v42019
Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, Jonathan Le Roux
cs.SDcs.CLcs.LGarXiv:2001.02674v52020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang, Robin Walters, Rose Yu
cs.LGmath.RTstat.MLarXiv:2002.03061v42020
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
Yangyang Shi, Yongqiang Wang, Chunyang Wu +5
cs.SDcs.CLcs.LGarXiv:2010.10759v42020
LatentPress: Context Compression Beyond Text and Vision
Zhengze Zhou, Hejian Sang
cs.LGcs.AIarXiv:2609.01507v22026
Neural operators approximate strongly continuous convex monotone semigroups
Jonas Blessing, Philipp Schmocker, Alessandro Sgarabottolo
math.NAcs.LGmath.AParXiv:2609.02727v12026
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
Zuxin Liu, Thai Hoang, Jianguo Zhang +14
cs.CLcs.AIcs.LGarXiv:2406.18518v12024
Debugging Tests for Model Explanations
Julius Adebayo, Michael Muelly, Ilaria Liccardi +1
cs.CVcs.LGarXiv:2011.05429v12020
Sparse Graph Attention Networks
Yang Ye, Shihao Ji
cs.LGstat.MLarXiv:1912.00552v22019
The Riemannian Geometry of Deep Generative Models
Hang Shao, Abhishek Kumar, P. Thomas Fletcher
cs.LGcs.CVstat.MLarXiv:1711.08014v12017
Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts
Sanjaya Poudel, Nirajan Kunwor, Manish Dhakal +2
cs.LGcs.AIcs.CVarXiv:2609.02101v12026
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante +4
cs.CVcs.LGarXiv:1703.02161v22017
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, Matteo Hessel +2
cs.LGcs.AIcs.NEarXiv:1602.07714v22016
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang, Hongkai Wen, Sen Wang +3
cs.CVcs.AIcs.LGarXiv:1708.07969v12017
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ecenaz Erdemir, Tze-Yang Tung, Pier Luigi Dragotti +1
eess.IVcs.AIcs.LGarXiv:2211.13772v12022
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati, Jakub Tomczak, Tijmen Blankevoort +3
cs.CVcs.LGstat.MLarXiv:2004.00070v12020
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang, Houxing Ren, Aojun Zhou +7
cs.CLcs.AIcs.CVarXiv:2310.03731v12023
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
Dimitri Palaz, Ronan Collobert, Mathew Magimai. -Doss
cs.LGcs.CLcs.NEarXiv:1304.1018v22013
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Ahmad Basheer Hassanat, Mohammad Ali Abbadi, Ghada Awad Altarawneh +1
cs.LGarXiv:1409.0919v12014
Bayesian Recurrent Neural Networks
Meire Fortunato, Charles Blundell, Oriol Vinyals
cs.LGstat.MLarXiv:1704.02798v42017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu, Jia Deng
cs.LGstat.MLarXiv:1701.00299v32017
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher +4
cs.CVcs.LGarXiv:2211.09869v42022
Transformer for Graphs: An Overview from Architecture Perspective
Erxue Min, Runfa Chen, Yatao Bian +7
cs.LGcs.AIarXiv:2202.08455v12022
Characterising Bias in Compressed Models
Sara Hooker, Nyalleng Moorosi, Gregory Clark +2
cs.LGcs.AIarXiv:2010.03058v22020
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn, Boi Faltings
cs.LGcs.CRcs.DCarXiv:1911.10071v12019
Maximum Mean Discrepancy Gradient Flow
Michael Arbel, Anna Korba, Adil Salim +1
stat.MLcs.LGarXiv:1906.04370v22019
AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment
Zongqian Li, Yaoyiran Li, Yaohui Guo +3
cs.AIcs.CLcs.LGarXiv:2608.28632v22026
Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5
Avanti Shrikumar, Katherine Tian, Žiga Avsec +5
cs.LGq-bio.GNstat.MLarXiv:1811.00416v52018
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen, Xinyu Gong, Xianming Liu +3
cs.CVcs.LGarXiv:1912.10917v22019

Machine Learning

Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

Interpretable Adversarial Perturbation in Input Embedding Space for Text

DRAMA: Joint Risk Localization and Captioning in Driving

Non-Local Graph Neural Networks

A Unified View on Graph Neural Networks as Graph Signal Denoising

Data-dependent Initializations of Convolutional Neural Networks

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients

Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification

A Mathematical Theory of Reusable Neural Bases for Network Compression

FCN-Transformer Feature Fusion for Polyp Segmentation

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

Panoptic Lifting for 3D Scene Understanding with Neural Fields

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

An Intuitive Tutorial to Gaussian Process Regression

Reducing hallucination in structured outputs via Retrieval-Augmented Generation

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Privacy Amplification by Iteration

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures

Deep Learning for Post-Processing Ensemble Weather Forecasts

Deep Learning for Launching and Mitigating Wireless Jamming Attacks

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Continuous Graph Neural Networks

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

Streaming automatic speech recognition with the transformer model

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition

LatentPress: Context Compression Beyond Text and Vision

Neural operators approximate strongly continuous convex monotone semigroups

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Debugging Tests for Model Explanations

Sparse Graph Attention Networks

The Riemannian Geometry of Deep Generative Models

Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

Learning values across many orders of magnitude

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Generative Joint Source-Channel Coding for Semantic Image Transmission

Conditional Channel Gated Networks for Task-Aware Continual Learning

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach

Bayesian Recurrent Neural Networks

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

Transformer for Graphs: An Overview from Architecture Perspective

Characterising Bias in Compressed Models

Federated Learning with Bayesian Differential Privacy

Maximum Mean Discrepancy Gradient Flow

AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment

Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5

FasterSeg: Searching for Faster Real-time Semantic Segmentation