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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12,121 to 12,180 of 20,199

DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick, J. Zico Kolter
cs.LGmath.OCstat.MLarXiv:2104.12225v12021
Optimistic Rates for Learning with a Smooth Loss
Nathan Srebro, Karthik Sridharan, Ambuj Tewari
cs.LGarXiv:1009.3896v22010
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano, Julie Delon, Thomas Veit
cs.CVcs.GRcs.LGarXiv:1907.01361v22019
An Introduction to Deep Generative Modeling
Lars Ruthotto, Eldad Haber
cs.LGarXiv:2103.05180v22021
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu +2
cs.LGarXiv:2401.00423v12023
Inception Transformer
Chenyang Si, Weihao Yu, Pan Zhou +3
cs.CVcs.AIcs.LGarXiv:2205.12956v22022
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp +6
cs.LGcs.ROstat.MLarXiv:2002.08396v32020
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman +1
cs.NEcs.CLcs.LGarXiv:1506.02516v32015
BayesFlow: Learning complex stochastic models with invertible neural networks
Stefan T. Radev, Ulf K. Mertens, Andreas Voss +2
stat.MLcs.LGarXiv:2003.06281v42020
Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
Qian Yang, Aaron Steinfeld, John Zimmerman
cs.HCcs.AIcs.CYarXiv:1904.09612v12019
Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng +4
cs.CVcs.LGarXiv:2107.11291v32021
Learning an Approximate Model Predictive Controller with Guarantees
Michael Hertneck, Johannes Köhler, Sebastian Trimpe +1
eess.SYcs.LGarXiv:1806.04167v12018
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski +1
cs.CLcs.LGarXiv:1903.05566v32019
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Milad Nasr, Shuang Song, Abhradeep Thakurta +2
cs.LGcs.CRarXiv:2101.04535v12021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Jing Huang, Jie Yang
cs.LGcs.SIarXiv:2105.00956v12021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Chenyu You, Yuan Zhou, Ruihan Zhao +2
cs.CVcs.AIcs.LGarXiv:2108.06227v42021
Incremental Learning Through Deep Adaptation
Amir Rosenfeld, John K. Tsotsos
cs.CVcs.LGarXiv:1705.04228v22017
Spiking Deep Networks with LIF Neurons
Eric Hunsberger, Chris Eliasmith
cs.LGcs.NEarXiv:1510.08829v12015
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang, Hoang-Dung Tran, Taylor T. Johnson
cs.LGarXiv:1708.03322v22017
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song, Reza Shokri, Prateek Mittal
stat.MLcs.CRcs.LGarXiv:1905.10291v32019
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample +1
cs.LGarXiv:2204.10532v12022
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
Filippo Simini, Gianni Barlacchi, Massimiliano Luca +1
cs.LGcs.SIarXiv:2012.00489v52020
On The Computational Complexity of Self-Attention
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
cs.LGcs.CCarXiv:2209.04881v12022
Shapley values for feature selection: The good, the bad, and the axioms
Daniel Fryer, Inga Strümke, Hien Nguyen
cs.LGcs.AIstat.MLarXiv:2102.10936v12021
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas, Abbas Sadat, Raquel Urtasun
cs.ROcs.AIcs.CVarXiv:2101.06806v12021
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi +3
cs.CVcs.AIcs.LGarXiv:2406.02507v32024
Propagation Kernels
Marion Neumann, Roman Garnett, Christian Bauckhage +1
stat.MLcs.LGarXiv:1410.3314v12014
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski +40
cs.CVcs.CLcs.LGarXiv:2305.18565v12023
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily, Kobbi Nissim, Adam Smith +3
cs.LGcs.CRcs.DSarXiv:1511.02513v12015
The loss surface of deep and wide neural networks
Quynh Nguyen, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1704.08045v22017
Disentangled Sequential Autoencoder
Yingzhen Li, Stephan Mandt
cs.LGarXiv:1803.02991v22018
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
cs.LGcs.AIcs.CVarXiv:1711.04710v22017
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
Trang Pham, Truyen Tran, Dinh Phung +1
stat.MLcs.LGarXiv:1602.00357v22016
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, Misha Denil +1
cs.LGcs.NEstat.MLarXiv:1603.00391v32016
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
cs.LGmath.OCstat.MLarXiv:1805.09388v12018
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen, Roman Novak, Lechao Xiao +1
cs.LGarXiv:2107.13034v32021
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng, Yinpeng Dong, Tianyu Pang +2
cs.LGcs.CRcs.CVarXiv:1906.06919v32019
Focal onset seizure prediction using convolutional networks
Haidar Khan, Lara Marcuse, Madeline Fields +2
cs.LGstat.MLarXiv:1805.11576v12018
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Ziyi Lin, Chris Liu, Renrui Zhang +13
cs.CVcs.AIcs.CLarXiv:2311.07575v12023
STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren +3
cs.SDcs.CLcs.CRarXiv:1904.05576v12019
Multi-view Contrastive Graph Clustering
Erlin Pan, Zhao Kang
cs.LGcs.AIcs.CVarXiv:2110.11842v12021
Fast Vision Transformers with HiLo Attention
Zizheng Pan, Jianfei Cai, Bohan Zhuang
cs.CVcs.AIcs.LGarXiv:2205.13213v52022
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen +3
cs.IRcs.AIcs.LGarXiv:2103.01696v12021
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals
Soumitro Chakrabarty, Emanuël A. P. Habets
eess.AScs.LGcs.SDarXiv:1807.11722v12018
Bayesian Temporal Factorization for Multidimensional Time Series Prediction
Xinyu Chen, Lijun Sun
stat.MLcs.LGarXiv:1910.06366v22019
ReasoNet: Learning to Stop Reading in Machine Comprehension
Yelong Shen, Po-Sen Huang, Jianfeng Gao +1
cs.LGcs.NEarXiv:1609.05284v32016
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li, Hong Liu, Denny Zhou +1
cs.LGcs.CCstat.MLarXiv:2402.12875v42024
Improving Neural Language Models with a Continuous Cache
Edouard Grave, Armand Joulin, Nicolas Usunier
cs.CLcs.LGarXiv:1612.04426v12016
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler, Yonathan Efroni, Shie Mannor
cs.LGstat.MLarXiv:1901.09184v22019
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit S. Sohoni, Jared A. Dunnmon, Geoffrey Angus +2
cs.LGcs.CVarXiv:2011.12945v22020
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Ning Ding, Guangwei Xu, Yulin Chen +5
cs.CLcs.AIcs.LGarXiv:2105.07464v62021
The Predictron: End-To-End Learning and Planning
David Silver, Hado van Hasselt, Matteo Hessel +8
cs.LGcs.AIcs.NEarXiv:1612.08810v32016
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan +2
cs.CVcs.AIcs.LGarXiv:2204.07756v32022
Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent
Zeyuan Allen-Zhu, Lorenzo Orecchia
cs.DScs.LGmath.NAarXiv:1407.1537v52014
How Complex is your classification problem? A survey on measuring classification complexity
Ana C. Lorena, Luís P. F. Garcia, Jens Lehmann +2
cs.LGstat.MLarXiv:1808.03591v32018
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning
R. Srikant, Lei Ying
cs.LGstat.MLarXiv:1902.00923v32019
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong, Di Wang, Chunyan Miao
cs.CLcs.AIcs.LGarXiv:1909.10681v22019
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong +2
cs.LGcs.CVstat.MLarXiv:2010.00467v32020
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu +9
cs.LGcs.IRarXiv:2402.17152v32024
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo, Zequn Sun, Wei Hu
cs.AIcs.CLcs.LGarXiv:1905.04914v12019

Machine Learning

DC3: A learning method for optimization with hard constraints

Optimistic Rates for Learning with a Smooth Loss

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

An Introduction to Deep Generative Modeling

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting

Inception Transformer

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

Learning to Transduce with Unbounded Memory

BayesFlow: Learning complex stochastic models with invertible neural networks

Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

Human Pose Regression with Residual Log-likelihood Estimation

Learning an Approximate Model Predictive Controller with Guarantees

Benchmarking Natural Language Understanding Services for building Conversational Agents

Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

Incremental Learning Through Deep Adaptation

Spiking Deep Networks with LIF Neurons

Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

End-to-end symbolic regression with transformers

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information

On The Computational Complexity of Self-Attention

Shapley values for feature selection: The good, the bad, and the axioms

MP3: A Unified Model to Map, Perceive, Predict and Plan

Guiding a Diffusion Model with a Bad Version of Itself

Propagation Kernels

PaLI-X: On Scaling up a Multilingual Vision and Language Model

Algorithmic Stability for Adaptive Data Analysis

The loss surface of deep and wide neural networks

Disentangled Sequential Autoencoder

Spatio-Temporal Data Mining: A Survey of Problems and Methods

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Noisy Activation Functions

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator

Dataset Distillation with Infinitely Wide Convolutional Networks

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Focal onset seizure prediction using convolutional networks

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

STC Antispoofing Systems for the ASVspoof2019 Challenge

Multi-view Contrastive Graph Clustering

Fast Vision Transformers with HiLo Attention

Cross-Domain Recommendation: Challenges, Progress, and Prospects

Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

ReasoNet: Learning to Stop Reading in Machine Comprehension

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Improving Neural Language Models with a Continuous Cache

Action Robust Reinforcement Learning and Applications in Continuous Control

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Few-NERD: A Few-Shot Named Entity Recognition Dataset

The Predictron: End-To-End Learning and Planning

Visual Attention Methods in Deep Learning: An In-Depth Survey

Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent

How Complex is your classification problem? A survey on measuring classification complexity

Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

Bag of Tricks for Adversarial Training

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs