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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14,761 to 14,820 of 20,199

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara +17
q-bio.QMcs.LGstat.MLarXiv:1904.00445v22019
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny +4
cs.LGstat.MLarXiv:1902.10486v42019
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen, Mikel Landajuela, T. Nathan Mundhenk +3
cs.LGstat.MLarXiv:1912.04871v42019
A Categorical Archive of ChatGPT Failures
Ali Borji
cs.CLcs.AIcs.LGarXiv:2302.03494v82023
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace +3
cs.CLcs.LGarXiv:2004.06100v22020
Evaluating Real-World Robot Manipulation Policies in Simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu +13
cs.ROcs.CVcs.LGarXiv:2405.05941v12024
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Gregory Farquhar, Bei Peng +1
cs.LGcs.MAstat.MLarXiv:2006.10800v22020
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber, Barak Lenz, Hofit Bata +19
cs.CLcs.LGarXiv:2403.19887v22024
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis +6
cs.PLcs.LGarXiv:1802.04730v32018
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste +1
cs.LGstat.MLarXiv:1804.00779v12018
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
stat.MLcs.LGarXiv:1702.08720v32017
Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis, Shie Mannor
cs.LGcs.AIarXiv:0803.3490v22008
Multi-Armed Bandits in Metric Spaces
Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
cs.DScs.LGarXiv:0809.4882v12008
Continuous Time Dynamic Topic Models
Chong Wang, David Blei, David Heckerman
cs.IRcs.LGstat.MLarXiv:1206.3298v22012
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Francis Bach, Jean-Philippe Vert
cs.LGarXiv:0809.2085v12008
The Evolved Transformer
David R. So, Chen Liang, Quoc V. Le
cs.LGcs.CLcs.NEarXiv:1901.11117v42019
Learning to Detect
Neev Samuel, Tzvi Diskin, Ami Wiesel
cs.ITcs.LGstat.MLarXiv:1805.07631v12018
Generating Images from Captions with Attention
Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba +1
cs.LGcs.CVarXiv:1511.02793v22015
Talking About Large Language Models
Murray Shanahan
cs.CLcs.LGarXiv:2212.03551v52022
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
cs.LGcs.AIarXiv:0806.4686v22008
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang, Tianfan Fu, Wenhao Gao +7
cs.LGcs.CYq-bio.BMarXiv:2102.09548v22021
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu
cs.LGarXiv:1610.09513v12016
Online EM Algorithm for Latent Data Models
Olivier Cappé, Eric Moulines
stat.COcs.LGarXiv:0712.4273v42007
Learning with Submodular Functions: A Convex Optimization Perspective
Francis Bach
cs.LGmath.OCarXiv:1111.6453v22011
L2 Regularization for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
cs.LGstat.MLarXiv:1205.2653v12012
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause, Joel Burdick
cs.LGstat.MLarXiv:1206.6402v12012
Robustness and Generalization
Huan Xu, Shie Mannor
cs.LGarXiv:1005.2243v12010
Finding Density Functionals with Machine Learning
John C. Snyder, Matthias Rupp, Katja Hansen +2
physics.comp-phcs.LGphysics.chem-pharXiv:1112.5441v12011
A Unified Framework for Approximating and Clustering Data
Dan Feldman, Michael Langberg
cs.LGarXiv:1106.1379v42011
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu, Prateek Jain, Purushottam Kar +1
cs.LGarXiv:1307.5101v32013
Petuum: A New Platform for Distributed Machine Learning on Big Data
Eric P. Xing, Qirong Ho, Wei Dai +7
stat.MLcs.LGeess.SYarXiv:1312.7651v22013
Clinical Graph-JEPA: Predictive Patient-State Knowledge Graphs for Cognitive Decision Support
Kushagra Yadav, Nalin Prabhath, Amit Lamba +3
cs.LGcs.AIarXiv:2608.22583v22026
LPCNet: Improving Neural Speech Synthesis Through Linear Prediction
Jean-Marc Valin, Jan Skoglund
eess.AScs.LGcs.SDarXiv:1810.11846v22018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi, Yue M. Lu, Yuxin Chen
cs.LGcs.ITeess.SParXiv:1809.09573v32018
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats, Rob Fergus, Alessandro Lazaric +1
cs.AIcs.LGarXiv:2107.09645v12021
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar, Steven Kearnes, Patrick Riley +3
stat.MLcs.LGcs.NEarXiv:1502.02072v12015
A generic framework for privacy preserving deep learning
Theo Ryffel, Andrew Trask, Morten Dahl +4
cs.LGcs.CRstat.MLarXiv:1811.04017v22018
Semantic Communications: Principles and Challenges
Zhijin Qin, Xiaoming Tao, Jianhua Lu +2
cs.ITcs.LGeess.SParXiv:2201.01389v52021
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
Leonardo Pepino, Pablo Riera, Luciana Ferrer
cs.SDcs.LGeess.ASarXiv:2104.03502v12021
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane, Danilo Comminiello, Amir Hussain +1
stat.MLcs.LGarXiv:1607.00485v12016
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
cs.LGcs.ROeess.SYarXiv:1907.04490v12019
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee, Wei Ping, Boris Ginsburg +2
cs.SDcs.CLcs.LGarXiv:2206.04658v22022
Performative Prediction
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner +1
cs.LGcs.GTstat.MLarXiv:2002.06673v42020
Inverse Reward Design
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel +2
cs.AIcs.LGarXiv:1711.02827v22017
On the Computational Efficiency of Training Neural Networks
Roi Livni, Shai Shalev-Shwartz, Ohad Shamir
cs.LGcs.AIstat.MLarXiv:1410.1141v22014
Deep Learning for Symbolic Mathematics
Guillaume Lample, François Charton
cs.SCcs.LGarXiv:1912.01412v12019
Masked Autoencoders that Listen
Po-Yao Huang, Hu Xu, Juncheng Li +5
cs.SDcs.AIcs.LGarXiv:2207.06405v32022
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai, Naveen Suda, Vikas Chandra
cs.NEcs.LGcs.MSarXiv:1801.06601v12018
Generalization in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio
stat.MLcs.AIcs.LGarXiv:1710.05468v92017
Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal +3
cs.LGarXiv:2408.15240v32024
Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen +6
cs.AIcs.CLcs.LGarXiv:2402.02716v12024
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr, Dan Boneh
stat.MLcs.CRcs.LGarXiv:1806.03287v22018
Self-Alignment Pretraining for Biomedical Entity Representations
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng +2
cs.CLcs.AIcs.LGarXiv:2010.11784v22020
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk
math.NAcs.LGarXiv:2102.02617v12021
Statistically Significant Detection of Linguistic Change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi +1
cs.CLcs.IRcs.LGarXiv:1411.3315v12014
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik +2
cs.CRcs.LGcs.SDarXiv:2103.00484v22021
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
cs.LGcs.DCstat.MLarXiv:2007.09712v12020
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, Tobias Pohlen +3
cs.LGcs.AIcs.NEarXiv:1811.06521v12018
Hyperbolic Graph Neural Networks
Qi Liu, Maximilian Nickel, Douwe Kiela
cs.LGstat.MLarXiv:1910.12892v12019
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin +3
cs.LGcs.AIarXiv:2201.12886v62022

Machine Learning

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

On Tiny Episodic Memories in Continual Learning

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

A Categorical Archive of ChatGPT Failures

Pretrained Transformers Improve Out-of-Distribution Robustness

Evaluating Real-World Robot Manipulation Policies in Simulation

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Jamba: A Hybrid Transformer-Mamba Language Model

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Neural Autoregressive Flows

Learning Discrete Representations via Information Maximizing Self-Augmented Training

Robustness and Regularization of Support Vector Machines

Multi-Armed Bandits in Metric Spaces

Continuous Time Dynamic Topic Models

Clustered Multi-Task Learning: A Convex Formulation

The Evolved Transformer

Learning to Detect

Generating Images from Captions with Attention

Talking About Large Language Models

Sparse Online Learning via Truncated Gradient

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Online EM Algorithm for Latent Data Models

Learning with Submodular Functions: A Convex Optimization Perspective

L2 Regularization for Learning Kernels

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization

Robustness and Generalization

Finding Density Functionals with Machine Learning

A Unified Framework for Approximating and Clustering Data

Large-scale Multi-label Learning with Missing Labels

Petuum: A New Platform for Distributed Machine Learning on Big Data

Clinical Graph-JEPA: Predictive Patient-State Knowledge Graphs for Cognitive Decision Support

LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Massively Multitask Networks for Drug Discovery

A generic framework for privacy preserving deep learning

Semantic Communications: Principles and Challenges

Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

Group Sparse Regularization for Deep Neural Networks

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Performative Prediction

Inverse Reward Design

On the Computational Efficiency of Training Neural Networks

Deep Learning for Symbolic Mathematics

Masked Autoencoders that Listen

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Generalization in Deep Learning

Generative Verifiers: Reward Modeling as Next-Token Prediction

Understanding the planning of LLM agents: A survey

Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

Self-Alignment Pretraining for Biomedical Entity Representations

A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

Statistically Significant Detection of Linguistic Change

Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Reward learning from human preferences and demonstrations in Atari

Hyperbolic Graph Neural Networks

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting