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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32,341 to 32,400 of 32,972

Convolutional Neural Networks for Toxic Comment Classification
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis +1
cs.CLcs.LGarXiv:1802.09957v12018
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang +2
cs.CVcs.AIcs.LGarXiv:1601.04153v22016
Beat-Synchronous Tokenization for ECG Transformers
Ahmed Sameh, Nolan Wilson, Max Enderlein +1
cs.LGeess.SParXiv:2608.30367v12026
Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs
Yirui Liu, Ruoling Qi, Xuaner Wu +2
cs.LGcs.AIarXiv:2608.30310v12026
Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts
Jiaxin Tian, Darren An, Jun Li
cs.LGq-bio.QMarXiv:2608.30175v12026
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy
Dapeng Feng, Jiangtao Liu, Kathryn Lawson +1
cs.LGarXiv:2203.14827v22022
Arcee's MergeKit: A Toolkit for Merging Large Language Models
Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi +5
cs.CLcs.AIcs.LGarXiv:2403.13257v32024
Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization
Jessica D. Elrefaei, Kaixun Hua, Seungbae Kim +2
cs.LGcs.AIarXiv:2608.30103v12026
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
Alexey A. Novikov, Dimitrios Lenis, David Major +3
cs.CVcs.LGarXiv:1701.08816v42017
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik, Zachary C. Lipton
cs.CLcs.AIcs.LGarXiv:1808.04926v22018
BioSentVec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, Zhiyong Lu
cs.CLcs.AIcs.LGarXiv:1810.09302v62018
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
Survey of resampling techniques for improving classification performance in unbalanced datasets
Ajinkya More
stat.APcs.LGstat.MLarXiv:1608.06048v12016
Adaptive Stress Testing for Autonomous Vehicles
Mark Koren, Saud Alsaif, Ritchie Lee +1
cs.ROcs.AIcs.LGarXiv:1902.01909v12019
Convolutional Recurrent Neural Networks for Electrocardiogram Classification
Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen
cs.LGarXiv:1710.06122v22017
Reconstruction and Membership Inference Attacks against Generative Models
Benjamin Hilprecht, Martin Härterich, Daniel Bernau
cs.CRcs.LGarXiv:1906.03006v12019
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
eess.AScs.CLcs.LGarXiv:1811.07453v22018
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Endre Grøvik, Darvin Yi, Michael Iv +3
eess.IVcs.LGstat.MLarXiv:1903.07988v12019
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Pedro F. Proenca, Yang Gao
cs.CVcs.LGcs.ROarXiv:1907.04298v22019
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai, Ruiwen Li, Hyunwoo Kim +1
cs.LGcs.AIcs.CVarXiv:2103.13885v32021
Feature Engineering for Predictive Modeling using Reinforcement Learning
Udayan Khurana, Horst Samulowitz, Deepak Turaga
cs.AIcs.LGstat.MLarXiv:1709.07150v12017
Direct speech-to-speech translation with discrete units
Ann Lee, Peng-Jen Chen, Changhan Wang +9
cs.CLcs.LGeess.ASarXiv:2107.05604v22021
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
Ayoub Benaissa, Bilal Retiat, Bogdan Cebere +1
cs.CRcs.LGarXiv:2104.03152v22021
PySINDy: A comprehensive Python package for robust sparse system identification
Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel +9
eess.SYcs.LGphysics.flu-dynarXiv:2111.08481v22021
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng +2
cs.LGcs.AIstat.MLarXiv:2003.04664v22020
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
Sijin Li, Zhi-Qiang Liu, Antoni B. Chan
cs.CVcs.LGcs.NEarXiv:1406.3474v12014
Word Embeddings: A Survey
Felipe Almeida, Geraldo Xexéo
cs.CLcs.LGstat.MLarXiv:1901.09069v22019
Defending Against Indirect Prompt Injection Attacks With Spotlighting
Keegan Hines, Gary Lopez, Matthew Hall +3
cs.CRcs.CLcs.LGarXiv:2403.14720v12024
TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization
Shiliang Xiao
cs.CLcs.LGarXiv:2608.29564v12026
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Yao Zhang, Woong-Je Sung, Dimitri Mavris
stat.MLcs.LGarXiv:1712.10082v22017
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam
cs.CLcs.AIcs.LGarXiv:2202.06935v12022
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls +1
cs.AIcs.CLcs.LGarXiv:1804.03984v12018
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen, Jiatong Han, Muhammed Razzak +3
cs.CLcs.AIcs.LGarXiv:2406.15927v12024
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4
stat.MLcs.LGarXiv:1703.03020v32017
Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos, Anson Ho, Jaime Sevilla +3
cs.LGcs.AIcs.CLarXiv:2211.04325v22022
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
Ting Yao, Yingwei Pan, Yehao Li +2
cs.CVcs.LGarXiv:2207.04978v12022
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya +4
cs.ROcs.CVcs.LGarXiv:1710.05512v22017
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles
Nico Lang, Nikolai Kalischek, John Armston +3
cs.LGcs.CVarXiv:2103.03975v22021
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li, Ruinong Wang, Yuanzheng Li +2
cs.LGeess.SYarXiv:2211.02674v12022
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review
Haomin Chen, Catalina Gomez, Chien-Ming Huang +1
cs.HCcs.CVcs.LGarXiv:2112.12596v42021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Yu-Liang Chou, Catarina Moreira, Peter Bruza +2
cs.AIcs.LGarXiv:2103.04244v22021
A Close Look at Deep Learning with Small Data
L. Brigato, L. Iocchi
cs.LGstat.MLarXiv:2003.12843v32020
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Halgurd S. Maghdid, Kayhan Zrar Ghafoor, Ali Safaa Sadiq +3
cs.HCcs.LGq-bio.PEarXiv:2003.07434v22020
Survey on Feature Selection
Tarek Amr Abdallah, Beatriz de La Iglesia
cs.LGarXiv:1510.02892v12015
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie +2
cs.CVcs.LGarXiv:1703.07684v32017
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
Pascal Notin, Mafalda Dias, Jonathan Frazer +4
cs.LGarXiv:2205.13760v12022
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
cs.LGcs.AIstat.MLarXiv:1605.04812v32016
Empowering Local Agriculture: A Deep Learning-Powered Web System for Identifying Bangladeshi Mango Varieties
Monowar Islam, Safaruzzaman Shovo
cs.CVcs.LGarXiv:2608.28161v12026
Memorizing Transformers
Yuhuai Wu, Markus N. Rabe, DeLesley Hutchins +1
cs.LGcs.AIcs.CLarXiv:2203.08913v12022
Matcha-TTS: A fast TTS architecture with conditional flow matching
Shivam Mehta, Ruibo Tu, Jonas Beskow +2
eess.AScs.HCcs.LGarXiv:2309.03199v22023
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual, Mirco Ravanelli, Joan Serrà +2
cs.LGcs.SDeess.ASarXiv:1904.03416v12019
An Open Source AutoML Benchmark
Pieter Gijsbers, Erin LeDell, Janek Thomas +3
cs.LGstat.MLarXiv:1907.00909v12019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang +1
cs.LGcs.CVstat.MLarXiv:1808.09347v22018
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P K Poudel, Pablo Lamata, Giovanni Montana
stat.MLcs.CVcs.LGarXiv:1608.03974v12016
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun, Mattia Segu, Janis Postels +5
cs.CVcs.LGarXiv:2206.08367v12022
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
eess.IVcs.CVcs.LGarXiv:2209.04444v22022
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
Homanga Bharadhwaj, Jay Vakil, Mohit Sharma +3
cs.ROcs.LGarXiv:2309.01918v12023
High Fidelity Speech Synthesis with Adversarial Networks
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman +5
cs.SDcs.LGeess.ASarXiv:1909.11646v22019
SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring
Christian McDowell, Andrea Panebianco, Jeremiah Yang +4
cs.LGarXiv:2608.27688v12026
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates +1
stat.MLcs.LGarXiv:1811.11103v12018

Machine Learning

Convolutional Neural Networks for Toxic Comment Classification

Studying Very Low Resolution Recognition Using Deep Networks

Beat-Synchronous Tokenization for ECG Transformers

Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs

Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy

Arcee's MergeKit: A Toolkit for Merging Large Language Models

Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

BioSentVec: creating sentence embeddings for biomedical texts

Improvements to deep convolutional neural networks for LVCSR

Survey of resampling techniques for improving classification performance in unbalanced datasets

Adaptive Stress Testing for Autonomous Vehicles

Convolutional Recurrent Neural Networks for Electrocardiogram Classification

Reconstruction and Membership Inference Attacks against Generative Models

The PyTorch-Kaldi Speech Recognition Toolkit

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

Feature Engineering for Predictive Modeling using Reinforcement Learning

Direct speech-to-speech translation with discrete units

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

PySINDy: A comprehensive Python package for robust sparse system identification

Automatic Curriculum Learning For Deep RL: A Short Survey

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

Word Embeddings: A Survey

Defending Against Indirect Prompt Injection Attacks With Spotlighting

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

Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Spectral Graph Convolutions for Population-based Disease Prediction

Will we run out of data? Limits of LLM scaling based on human-generated data

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

A Close Look at Deep Learning with Small Data

A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study

Survey on Feature Selection

Predicting Deeper into the Future of Semantic Segmentation

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

Off-policy evaluation for slate recommendation

Empowering Local Agriculture: A Deep Learning-Powered Web System for Identifying Bangladeshi Mango Varieties

Memorizing Transformers

Matcha-TTS: A fast TTS architecture with conditional flow matching

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

An Open Source AutoML Benchmark

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

Monkeypox virus detection using pre-trained deep learning-based approaches

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

High Fidelity Speech Synthesis with Adversarial Networks

SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring

Bayesian graph convolutional neural networks for semi-supervised classification