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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11,581 to 11,640 of 20,135

UVeQFed: Universal Vector Quantization for Federated Learning
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar +2
cs.LGcs.ITstat.MLarXiv:2006.03262v32020
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane, Aayush Bansal, Verica Lazova +1
cs.CVcs.LGarXiv:2104.06935v12021
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
cs.CLcs.AIcs.CRarXiv:2309.13788v52023
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu, Tianyu Ding, Jinxin Zhou +4
cs.LGcs.AIcs.ITarXiv:2105.02375v12021
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Wen Liu, Zhixin Piao, Jie Min +3
cs.CVcs.LGeess.IVarXiv:1909.12224v32019
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1904.04631v12019
Multi-Task Learning as a Bargaining Game
Aviv Navon, Aviv Shamsian, Idan Achituve +4
cs.LGcs.GTarXiv:2202.01017v22022
Diving Deeper into Underwater Image Enhancement: A Survey
Saeed Anwar, Chongyi Li
cs.CVcs.LGeess.IVarXiv:1907.07863v12019
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu, Hongyi Guo
cs.LGstat.MLarXiv:1910.03231v72019
Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu +4
cs.LGarXiv:2012.09600v12020
A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
eess.IVcs.CVcs.LGarXiv:2004.12837v12020
Efficient Exploration via State Marginal Matching
Lisa Lee, Benjamin Eysenbach, Emilio Parisotto +3
cs.LGcs.AIcs.ROarXiv:1906.05274v32019
Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou, Nghia The Pham, Marco Baroni
cs.CLcs.CVcs.LGarXiv:1501.02598v32015
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Wei Zou, Runpeng Geng, Binghui Wang +1
cs.CRcs.LGarXiv:2402.07867v32024
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Kaifeng Bi, Lingxi Xie, Hengheng Zhang +3
physics.ao-phcs.AIcs.CVarXiv:2211.02556v12022
A Primer on the Signature Method in Machine Learning
Ilya Chevyrev, Andrey Kormilitzin
stat.MLcs.LGstat.MEarXiv:1603.03788v22016
Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego de las Casas, Aurelia Guy +23
cs.CLcs.LGarXiv:2202.01169v22022
Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li, Yong Cheng, Wei Wang +2
cs.LGcs.CRstat.MLarXiv:2002.00211v12020
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017
Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
stat.MLcs.AIcs.CVarXiv:1804.04241v12018
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon, John Bronskill, Matthias Bauer +2
stat.MLcs.LGarXiv:1805.09921v42018
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich +3
cs.LGarXiv:2304.14772v22023
Med-HALT: Medical Domain Hallucination Test for Large Language Models
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
cs.CLcs.AIcs.LGarXiv:2307.15343v22023
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez +5
eess.SYcs.LGarXiv:2004.05519v12020
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
stat.MLcs.AIcs.LGarXiv:1811.01287v12018
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
cs.CLcs.AIcs.LGarXiv:2312.11514v32023
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Dimitrios Stamoulis, Ruizhou Ding, Di Wang +4
cs.LGcs.CVstat.MLarXiv:1904.02877v12019
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu, Huanle Zhang, Ge Gao +2
cs.LGarXiv:2211.01549v22022
Multi-graph Fusion for Multi-view Spectral Clustering
Zhao Kang, Guoxin Shi, Shudong Huang +4
cs.LGcs.CVstat.MLarXiv:1909.06940v12019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
Kim P. Wabersich, Melanie N. Zeilinger
eess.SYcs.LGarXiv:1812.05506v42018
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David R. So +1
cs.LGcs.NEstat.MLarXiv:2003.03384v22020
Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa +2
cs.LGcs.CVarXiv:2101.04562v32021
Discrete Variational Autoencoders
Jason Tyler Rolfe
stat.MLcs.LGarXiv:1609.02200v22016
Fast Interactive Object Annotation with Curve-GCN
Huan Ling, Jun Gao, Amlan Kar +2
cs.CVcs.LGarXiv:1903.06874v12019
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Ian Osband, Benjamin Van Roy
stat.MLcs.AIcs.LGarXiv:1607.00215v32016
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data
Xinwei Zhang, Mingyi Hong, Sairaj Dhople +2
cs.LGstat.MLarXiv:2005.11418v32020
Query-Key Normalization for Transformers
Alex Henry, Prudhvi Raj Dachapally, Shubham Pawar +1
cs.CLcs.AIcs.LGarXiv:2010.04245v12020
Near-Optimal Algorithms for Minimax Optimization
Tianyi Lin, Chi Jin, Michael. I. Jordan
math.OCcs.LGstat.MLarXiv:2002.02417v62020
NETT: Solving Inverse Problems with Deep Neural Networks
Housen Li, Johannes Schwab, Stephan Antholzer +1
math.NAcs.LGarXiv:1803.00092v32018
Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.CVcs.AIcs.LGarXiv:1812.06673v12018
Data Contamination: From Memorization to Exploitation
Inbal Magar, Roy Schwartz
cs.CLcs.LGarXiv:2203.08242v12022
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
cs.LGarXiv:1702.08360v12017
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan +2
cs.LGcs.DCarXiv:2101.07511v12021
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou, Zhankui He, Julian McAuley +1
cs.IRcs.LGarXiv:2210.12316v22022
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Peter Zachares +6
cs.ROcs.LGarXiv:1907.13098v12019
Single Image 3D Interpreter Network
Jiajun Wu, Tianfan Xue, Joseph J. Lim +4
cs.CVcs.LGarXiv:1604.08685v22016
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
S. P. Morozov, A. E. Andreychenko, N. A. Pavlov +7
cs.CYcs.LGeess.IVarXiv:2005.06465v12020
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang +5
cs.CLcs.AIcs.LGarXiv:2402.09906v32024
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli, Pietro Zanuttigh
cs.CVcs.LGeess.IVarXiv:1907.13372v42019
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2
cs.LGcs.CVcs.ROarXiv:1511.03791v22015
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff +2
cs.ROcs.AIcs.LGarXiv:1905.02680v12019
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
stat.MLcs.LGarXiv:1702.06832v12017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James, Andrew J. Davison, Edward Johns
cs.ROcs.LGarXiv:1707.02267v22017
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin +6
cs.CVcs.AIcs.LGarXiv:2306.00980v32023
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech
Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau +2
cs.HCcs.AIcs.LGarXiv:1909.07208v22019
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Simon S. Du, Jason D. Lee
cs.LGcs.AImath.OCarXiv:1803.01206v22018
Self-Distillation Amplifies Regularization in Hilbert Space
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
cs.LGstat.MLarXiv:2002.05715v32020
Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
cs.CLcs.AIcs.LGarXiv:2311.08401v12023
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
cs.CLcs.LGarXiv:1609.02745v12016
Learning Stochastic Recurrent Networks
Justin Bayer, Christian Osendorfer
stat.MLcs.LGarXiv:1411.7610v32014

Machine Learning

UVeQFed: Universal Vector Quantization for Federated Learning

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

Can LLM-Generated Misinformation Be Detected?

A Geometric Analysis of Neural Collapse with Unconstrained Features

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

Multi-Task Learning as a Bargaining Game

Diving Deeper into Underwater Image Enhancement: A Survey

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

Deep Fusion Clustering Network

A Light CNN for detecting COVID-19 from CT scans of the chest

Efficient Exploration via State Marginal Matching

Combining Language and Vision with a Multimodal Skip-gram Model

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

A Primer on the Signature Method in Machine Learning

Unified Scaling Laws for Routed Language Models

Learning to Detect Malicious Clients for Robust Federated Learning

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Capsules for Object Segmentation

Meta-Learning Probabilistic Inference For Prediction

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Med-HALT: Medical Domain Hallucination Test for Large Language Models

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

Towards Sparse Hierarchical Graph Classifiers

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Client Selection in Federated Learning: Principles, Challenges, and Opportunities

Multi-graph Fusion for Multi-view Spectral Clustering

A predictive safety filter for learning-based control of constrained nonlinear dynamical systems

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Hyperbolic Deep Neural Networks: A Survey

Discrete Variational Autoencoders

Fast Interactive Object Annotation with Curve-GCN

Why is Posterior Sampling Better than Optimism for Reinforcement Learning?

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data

Query-Key Normalization for Transformers

Near-Optimal Algorithms for Minimax Optimization

NETT: Solving Inverse Problems with Deep Neural Networks

Robust Graph Learning from Noisy Data

Data Contamination: From Memorization to Exploitation

Neural Map: Structured Memory for Deep Reinforcement Learning

Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

Single Image 3D Interpreter Network

MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset

Generative Representational Instruction Tuning

Incremental Learning Techniques for Semantic Segmentation

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

Adversarial examples for generative models

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

On the Power of Over-parametrization in Neural Networks with Quadratic Activation

Self-Distillation Amplifies Regularization in Hilbert Space

Fine-tuning Language Models for Factuality

A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

Learning Stochastic Recurrent Networks