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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3,481 to 3,540 of 20,454

Text-to-SQL Generation for Question Answering on Electronic Medical Records
Ping Wang, Tian Shi, Chandan K. Reddy
cs.CLcs.AIcs.IRarXiv:1908.01839v22019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani +3
cs.ITcs.LGeess.SParXiv:1911.03038v12019
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss, Yedid Hoshen
cs.CVcs.LGarXiv:2106.03844v22021
Inverse Compositional Spatial Transformer Networks
Chen-Hsuan Lin, Simon Lucey
cs.CVcs.LGarXiv:1612.03897v12016
On GANs and GMMs
Eitan Richardson, Yair Weiss
cs.CVcs.LGarXiv:1805.12462v22018
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
stat.MLcs.LGmath.OCarXiv:1806.08838v22018
Stream of Search (SoS): Learning to Search in Language
Kanishk Gandhi, Denise Lee, Gabriel Grand +4
cs.LGcs.AIcs.CLarXiv:2404.03683v12024
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Junyu Zhang, Alec Koppel, Amrit Singh Bedi +2
cs.LGstat.MLarXiv:2007.02151v12020
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Tianhao Wang, Dongruo Zhou, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:2101.02195v22021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Stefanos Leonardos, Will Overman, Ioannis Panageas +1
cs.LGcs.GTarXiv:2106.01969v42021
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training
Ehsan Haghighat, Danial Amini, Ruben Juanes
cs.LGcs.CEarXiv:2110.03049v12021
Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks
Aditya Nandy, Chenru Duan, Heather J. Kulik
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2106.13327v12021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko +1
cs.CVcs.LGarXiv:2010.08666v32020
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang, Jared A. Dunnmon, Khaled Saab +5
eess.SPcs.AIcs.LGarXiv:2104.08336v22021
Just Go with the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn, David Held
cs.CVcs.LGcs.ROarXiv:1912.00497v22019
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein +1
cs.LGarXiv:2206.11140v32022
Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
Kevin Baum, Rūta Binkytė, Felix Jahn
cs.AIcs.CYcs.LGarXiv:2609.07627v12026
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Hamid Reza Boveiri, Raouf Khayami, Reza Javidan +1
eess.IVcs.CVcs.LGarXiv:2002.03401v12020
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao, Cheng Tan, Pablo Chacón +1
cs.AIcs.CEcs.LGarXiv:2209.12643v42022
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang, Juan Zhai, Shiqing Ma
cs.CVcs.CRcs.LGarXiv:2205.13383v12022
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
cs.CVcs.CRcs.CYarXiv:2003.01279v32020
Restricted Strong Convexity Implies Weak Submodularity
Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis +1
stat.MLcs.ITcs.LGarXiv:1612.00804v22016
Relational Reflection Entity Alignment
Xin Mao, Wenting Wang, Huimin Xu +2
cs.IRcs.CLcs.LGarXiv:2008.07962v12020
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
Chenyu Huang, Zhengyang Tang, Shixi Hu +5
cs.CLcs.AIcs.CEarXiv:2405.17743v52024
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino +1
cs.CRcs.AIcs.LGarXiv:2104.04958v12021
Physics Informed Neural Networks for Simulating Radiative Transfer
Siddhartha Mishra, Roberto Molinaro
cs.LGstat.MLarXiv:2009.13291v32020
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
cs.LGarXiv:2106.05022v12021
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
cs.LGcs.CRcs.CVarXiv:1810.01032v42018
Reinforcement Learning Neural Turing Machines - Revised
Wojciech Zaremba, Ilya Sutskever
cs.LGarXiv:1505.00521v32015
Meta Matrix Factorization for Federated Rating Predictions
Yujie Lin, Pengjie Ren, Zhumin Chen +5
cs.IRcs.LGarXiv:1910.10086v42019
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
q-bio.QMcs.CVcs.LGarXiv:2303.12806v12023
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava +2
cs.CVcs.LGarXiv:2104.00670v12021
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Heng Yang, Biqing Zeng, JianHao Yang +2
cs.CLcs.LGarXiv:1912.07976v32019
Satellite Image Classification with Deep Learning
Mark Pritt, Gary Chern
cs.CVcs.LGarXiv:2010.06497v12020
On hallucinations in tomographic image reconstruction
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks +1
eess.IVcs.LGarXiv:2012.00646v32020
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott +1
cs.LGarXiv:1511.06435v32015
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu, Kun Zhu, Nguyen Cong Luong +3
cs.GTcs.LGarXiv:2111.11850v12021
Explainable Deep Reinforcement Learning: State of the Art and Challenges
George A. Vouros
cs.LGarXiv:2301.09937v12023
Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation
Remi Gribonval, Karin Schnass
cs.ITcs.LGarXiv:0904.4774v22009
RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems
Ngo Truong Dinh, Tung-Lam Bui, Chi-Trung Duong +3
cs.AIcs.LGcs.MMarXiv:2609.07409v12026
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
Jiachen Zhong, Junying Chen, Ajmal Mian
cs.CVcs.LGarXiv:2202.07481v12022
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Johan Mathe, Claire Donnat +2
cs.LGcs.MSstat.MLarXiv:1805.08308v22018
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel, Nazneen Rajani, Jesse Vig +6
cs.CLcs.AIcs.LGarXiv:2101.04840v12021
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez +1
stat.MLcs.LGarXiv:1605.07127v32016
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki +5
cs.LGarXiv:2105.01282v22021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke, Bing Liu, Xingchang Huang
cs.LGcs.AIcs.CVarXiv:2112.10017v12021
Implicit Regularization in Deep Learning
Behnam Neyshabur
cs.LGarXiv:1709.01953v22017
Scaling Laws and Interpretability of Learning from Repeated Data
Danny Hernandez, Tom Brown, Tom Conerly +15
cs.LGcs.AIarXiv:2205.10487v12022
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, Matt J. Kusner +3
stat.MLcs.CRcs.CYarXiv:1806.03281v12018
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
Tom Lieberum, Matthew Rahtz, János Kramár +4
cs.LGarXiv:2307.09458v32023
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou +3
cs.CVcs.LGarXiv:1812.03413v32018
Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Mathias Lechner, Ramin Hasani
cs.LGstat.MLarXiv:2006.04418v42020
Improved architectures and training algorithms for deep operator networks
Sifan Wang, Hanwen Wang, Paris Perdikaris
cs.LGmath.NAphysics.comp-pharXiv:2110.01654v22021
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Chuang Gan, Yiwei Zhang, Jiajun Wu +2
cs.CVcs.LGcs.ROarXiv:1912.11684v22019
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck +2
cs.LGcs.SEarXiv:2010.03150v12020
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Jintao Zhang, Jia Wei, Haofeng Huang +3
cs.LGarXiv:2410.02367v92024
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy +1
stat.MLcs.CRcs.LGarXiv:1802.03041v12018
Adapting Mask-RCNN for Automatic Nucleus Segmentation
Jeremiah W. Johnson
cs.CVcs.LGarXiv:1805.00500v12018
Bypassing Backdoor Detection Algorithms in Deep Learning
Te Juin Lester Tan, Reza Shokri
cs.LGcs.CRstat.MLarXiv:1905.13409v22019

Machine Learning

Text-to-SQL Generation for Question Answering on Electronic Medical Records

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

Mean-Shifted Contrastive Loss for Anomaly Detection

Inverse Compositional Spatial Transformer Networks

On GANs and GMMs

Bayesian Optimization of Combinatorial Structures

Stream of Search (SoS): Learning to Search in Language

Variational Policy Gradient Method for Reinforcement Learning with General Utilities

Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

Just Go with the Flow: Self-Supervised Scene Flow Estimation

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review

PiFold: Toward effective and efficient protein inverse folding

Human Activity Recognition using Recurrent Neural Networks

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems

Restricted Strong Convexity Implies Weak Submodularity

Relational Reflection Entity Alignment

ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review

Physics Informed Neural Networks for Simulating Radiative Transfer

Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions

Reinforcement Learning with Perturbed Rewards

Reinforcement Learning Neural Turing Machines - Revised

Meta Matrix Factorization for Federated Rating Predictions

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Unconstrained Scene Generation with Locally Conditioned Radiance Fields

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

Satellite Image Classification with Deep Learning

On hallucinations in tomographic image reconstruction

Comparative Study of Deep Learning Software Frameworks

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective

Explainable Deep Reinforcement Learning: State of the Art and Challenges

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems

DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

geomstats: a Python Package for Riemannian Geometry in Machine Learning

Robustness Gym: Unifying the NLP Evaluation Landscape

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Implicit Regularization in Deep Learning

Scaling Laws and Interpretability of Learning from Repeated Data

Blind Justice: Fairness with Encrypted Sensitive Attributes

Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Learning Transferable Adversarial Examples via Ghost Networks

Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Improved architectures and training algorithms for deep operator networks

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation

PyMT5: multi-mode translation of natural language and Python code with transformers

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection

Adapting Mask-RCNN for Automatic Nucleus Segmentation

Bypassing Backdoor Detection Algorithms in Deep Learning