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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15,121 to 15,180 of 20,192

Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs
Hao Luo, Yiting Yang, Wenyi Zhao +10
cs.LGarXiv:2608.26069v12026
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan +1
stat.MLcs.LGarXiv:1711.03905v22017
Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity
Xu Zhang, Ren Wang
cs.LGarXiv:2608.26043v12026
Spectral Allocation: Why Muon Outperforms Adam, and How to Improve Muon
Xiaodong Wu, Wenyi Yu, Chao Zhang +1
cs.LGarXiv:2608.25990v12026
Forecasting Multiple Observables with SCROLL: Score-Trained Uncertainty for Stochastic Dynamics
Pavel Prochazka
cs.LGarXiv:2608.25898v12026
Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queries
Chunlei Shi, Jiong Wang, Yi-Lin Wei +4
cs.LGcs.MMarXiv:2608.25823v12026
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan
eess.IVcs.LGphysics.app-pharXiv:2007.00084v12020
CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition
Junjie Meng, Ranxu Zhang, Zi-an Zhang +6
cs.LGarXiv:2608.25871v12026
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair, Praveen Srinivasan, Sam Blackwell +11
cs.LGcs.AIcs.DCarXiv:1507.04296v22015
How Edge of Stability Hinders SCAFFOLD in Federated Optimization
Anant Khandelwal, Michael Crawshaw, Mingrui Liu
cs.LGarXiv:2608.25873v12026
EXAONE Tabular 1.0 : Technical Report
Moonjung Eo, Min-Kook Suh, Hye-Seung Cho +4
cs.LGarXiv:2608.25774v12026
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui, Ren Chen, Wenbo Chu +4
cs.CVcs.LGcs.ROarXiv:2004.05224v22020
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Yin Cui, Yang Song, Chen Sun +2
cs.CVcs.LGarXiv:1806.06193v12018
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Pinxin Long, Tingxiang Fan, Xinyi Liao +3
cs.ROcs.AIcs.LGarXiv:1709.10082v32017
$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning
Lehong Wu, Yuxiao Qu, Zheyuan Hu +4
cs.ROcs.AIcs.CLarXiv:2608.26053v12026
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha Srinivasa
cs.LGcs.AIarXiv:2209.04836v62022
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar +4
cs.CVcs.LGarXiv:1711.08393v42017
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick +2
cs.LGarXiv:1605.06065v12016
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen +4
cs.LGcs.CVarXiv:1704.00648v22017
Large Language Models Can Be Strong Differentially Private Learners
Xuechen Li, Florian Tramèr, Percy Liang +1
cs.LGcs.CLarXiv:2110.05679v62021
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Eric Nguyen, Michael Poli, Marjan Faizi +10
cs.LGq-bio.GNarXiv:2306.15794v22023
It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning
Liam P. H. Mertens, Lucas N. Alegre, Florent Delgrange +3
cs.LGcs.AIarXiv:2608.25723v12026
Fairness-Aware Test-Time Prompt Tuning
Yoann Launay, Parameswaran Kamalaruban, Tom Kempton +2
cs.LGarXiv:2608.25707v12026
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
cs.CLcs.LGstat.MLarXiv:2105.11447v12021
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex, Ling Liu, Ka-Ho Chow +2
cs.LGcs.CRstat.MLarXiv:2006.03637v12020
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
stat.MLcs.LGq-bio.BMarXiv:1712.07042v22017
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf +2
cs.LGstat.MLarXiv:1803.04383v22018
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh +6
cs.CLcs.LGarXiv:2205.12548v32022
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia +4
cs.ITcs.AIcs.LGarXiv:2203.11854v22022
Adversarial Training of Linear Models under Stealthy Attacks
Lovisa Eriksson, Dave Zachariah, André M. H. Teixeira
cs.LGcs.CReess.SYarXiv:2608.25681v12026
Machine learning based disease diagnosis: A comprehensive review
Md Manjurul Ahsan, Zahed Siddique
cs.LGarXiv:2112.15538v12021
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollár +2
cs.CVcs.AIcs.LGarXiv:1612.06370v22016
How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention
Gerard Conangla Planes
cs.LGcs.AIcs.CLarXiv:2608.26052v12026
On the Tractability of SHAP Explanations
Guy Van den Broeck, Anton Lykov, Maximilian Schleich +1
cs.AIcs.CCcs.LGarXiv:2009.08634v22020
Balanced Distribution Adaptation for Transfer Learning
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.LGstat.MLarXiv:1807.00516v12018
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu, Aviral Kumar, Rafael Rafailov +3
cs.LGcs.AIcs.ROarXiv:2102.08363v22021
A survey on modern trainable activation functions
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò +1
cs.LGcs.NEstat.MLarXiv:2005.00817v42020
Focal Self-attention for Local-Global Interactions in Vision Transformers
Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4
cs.CVcs.AIcs.LGarXiv:2107.00641v12021
One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation
Justin Robert, Raheel Qader
cs.LGcs.AIcs.CLarXiv:2608.25936v12026
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar, Hal Daume
cs.LGstat.MLarXiv:1206.6417v12012
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
Weinan Zhang, Tianming Du, Jun Wang
cs.LGcs.IRarXiv:1601.02376v12016
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah
cs.LGstat.MLarXiv:1805.07722v12018
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler +1
cs.NEcs.LGcs.MMarXiv:1609.04243v32016
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
Zongze Wu, Dani Lischinski, Eli Shechtman
cs.CVcs.GRcs.LGarXiv:2011.12799v22020
Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?
Fumiaki Kimino, Ryoma Sato
cs.LGcs.CLarXiv:2608.25741v12026
Prefix Sliding for efficient test-time scaling
Niklas Muennighoff, Zhengyang Wang, Zeyi Chen +15
cs.CLcs.AIcs.LGarXiv:2608.26070v12026
Bayesian Optimization with Unknown Constraints
Michael A. Gelbart, Jasper Snoek, Ryan P. Adams
stat.MLcs.LGarXiv:1403.5607v12014
Multi-layer Representation Learning for Medical Concepts
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles +2
cs.LGarXiv:1602.05568v12016
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei +3
cs.LGstat.MLarXiv:1911.07135v22019
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu
math.STcs.LGstat.MLarXiv:1408.2156v12014
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1609.09869v22016
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6
eess.AScs.LGcs.SDarXiv:2004.01275v62020
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev
cs.CLcs.AIcs.LGarXiv:2103.11943v12021
Conditional Probability Models for Deep Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2
cs.CVcs.LGarXiv:1801.04260v42018
Learning to Hash for Indexing Big Data - A Survey
Jun Wang, Wei Liu, Sanjiv Kumar +1
cs.LGarXiv:1509.05472v12015
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang +2
cs.CVcs.CLcs.LGarXiv:1904.05873v12019
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang +2
cs.ROcs.AIcs.CVarXiv:1609.06666v22016
Summaries:한국어
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
cs.LGcs.CRstat.MLarXiv:1610.00768v62016
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
cs.LGstat.MLarXiv:2006.13009v22020
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu +4
cs.LGcs.CRcs.SIarXiv:1906.04214v32019

Machine Learning

Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity

Spectral Allocation: Why Muon Outperforms Adam, and How to Improve Muon

Forecasting Multiple Observables with SCROLL: Score-Trained Uncertainty for Stochastic Dynamics

Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queries

Deep neural networks for the evaluation and design of photonic devices

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Massively Parallel Methods for Deep Reinforcement Learning

How Edge of Stability Hinders SCAFFOLD in Federated Optimization

EXAONE Tabular 1.0 : Technical Report

Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning

Git Re-Basin: Merging Models modulo Permutation Symmetries

BlockDrop: Dynamic Inference Paths in Residual Networks

One-shot Learning with Memory-Augmented Neural Networks

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Large Language Models Can Be Strong Differentially Private Learners

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning

Fairness-Aware Test-Time Prompt Tuning

True Few-Shot Learning with Language Models

LDP-Fed: Federated Learning with Local Differential Privacy

Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

Delayed Impact of Fair Machine Learning

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Adversarial Training of Linear Models under Stealthy Attacks

Machine learning based disease diagnosis: A comprehensive review

Learning Features by Watching Objects Move

How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention

On the Tractability of SHAP Explanations

Balanced Distribution Adaptation for Transfer Learning

COMBO: Conservative Offline Model-Based Policy Optimization

A survey on modern trainable activation functions

Focal Self-attention for Local-Global Interactions in Vision Transformers

One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation

Learning Task Grouping and Overlap in Multi-task Learning

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

Task-Agnostic Meta-Learning for Few-shot Learning

Convolutional Recurrent Neural Networks for Music Classification

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?

Prefix Sliding for efficient test-time scaling

Bayesian Optimization with Unknown Constraints

Multi-layer Representation Learning for Medical Concepts

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Statistical guarantees for the EM algorithm: From population to sample-based analysis

Structured Inference Networks for Nonlinear State Space Models

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

BERT: A Review of Applications in Natural Language Processing and Understanding

Conditional Probability Models for Deep Image Compression

Learning to Hash for Indexing Big Data - A Survey

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective