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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14,221 to 14,280 of 20,199

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu, Rong Jin, Sen Yang
math.OCcs.LGarXiv:1905.03817v12019
Model-Driven Deep Learning for Physical Layer Communications
Hengtao He, Shi Jin, Chao-Kai Wen +3
cs.ITcs.LGarXiv:1809.06059v22018
Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations
Leon Ranke, Wolfgang Hübner, Ronny Hug +2
cs.CVcs.AIcs.LGarXiv:2608.27066v12026
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4
eess.IVcs.CVcs.LGarXiv:2004.07054v32020
Learning-based Model Predictive Control for Safe Exploration
Torsten Koller, Felix Berkenkamp, Matteo Turchetta +1
eess.SYcs.AIcs.LGarXiv:1803.08287v32018
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish +1
cs.LGcs.AIarXiv:2012.13490v22020
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
Harsh Purohit, Ryo Tanabe, Kenji Ichige +4
cs.SDcs.LGeess.ASarXiv:1909.09347v12019
SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation
Li Mingqian
cs.AIcs.LGcs.MAarXiv:2608.26683v12026
Data-Free Learning of Student Networks
Hanting Chen, Yunhe Wang, Chang Xu +6
cs.LGcs.CVstat.MLarXiv:1904.01186v42019
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang +6
cs.CLcs.AIcs.CVarXiv:2212.09597v82022
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit, Tal Shaharbany, Eliya Nachmani +1
cs.CVcs.AIcs.LGarXiv:2112.00390v32021
To understand deep learning we need to understand kernel learning
Mikhail Belkin, Siyuan Ma, Soumik Mandal
stat.MLcs.LGarXiv:1802.01396v32018
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov, Stanislav Morozov, Artem Babenko
cs.LGstat.MLarXiv:1909.06312v22019
Deep MIMO Detection
Neev Samuel, Tzvi Diskin, Ami Wiesel
stat.MLcs.ITcs.LGarXiv:1706.01151v12017
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
Haoning Wu, Erli Zhang, Liang Liao +6
cs.CVcs.LGcs.MMarXiv:2211.04894v32022
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat, Marinka Zitnik, David Hallac +1
cs.SIcs.LGstat.MLarXiv:1710.10321v42017
Evaluating time series forecasting models: An empirical study on performance estimation methods
Vitor Cerqueira, Luis Torgo, Igor Mozetic
cs.LGstat.MLarXiv:1905.11744v12019
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed, Danilo Jimenez Rezende
stat.MLcs.AIcs.LGarXiv:1509.08731v12015
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis +4
cs.LGcs.AIcs.CLarXiv:2310.06452v32023
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
Hanna Meyer, Edzer Pebesma
stat.MLcs.LGarXiv:2005.07939v12020
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Tao Ge, Xin Chan, Xiaoyang Wang +3
cs.CLcs.LGarXiv:2406.20094v32024
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava +8
cs.CVcs.AIcs.LGarXiv:2111.14973v32021
Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li +2
cs.LGstat.MLarXiv:1912.12854v12019
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan +1
cs.LGstat.MLarXiv:1910.07483v22019
Discovering physical concepts with neural networks
Raban Iten, Tony Metger, Henrik Wilming +2
quant-phcs.LGphysics.data-anarXiv:1807.10300v32018
Deep Multi-View Enhancement Hashing for Image Retrieval
Chenggang Yan, Biao Gong, Yuxuan Wei +1
cs.CVcs.LGeess.IVarXiv:2002.00169v22020
When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue
Yen-Ju Lu, Yuzhe Wang, Yaohan Guan +8
cs.CLcs.AIcs.LGarXiv:2608.27176v12026
Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Units
Robin San Roman, Manel Khentout, Tu Anh Nguyen +3
cs.LGarXiv:2608.26992v12026
Amortised MAP Inference for Image Super-resolution
Casper Kaae Sønderby, Jose Caballero, Lucas Theis +2
cs.CVcs.LGstat.MLarXiv:1610.04490v32016
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky +1
cs.CVcs.LGarXiv:2309.17400v22023
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda, Jonathan Frankle, Michael Carbin
cs.LGstat.MLarXiv:2003.02389v12020
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:1707.04926v32017
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi, Kai Yang, Tao Jiang +2
cs.ITcs.LGeess.SParXiv:2002.09668v12020
Text-to-image Diffusion Models in Generative AI: A Survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang +2
cs.CVcs.AIcs.LGarXiv:2303.07909v32023
Why Is My Classifier Discriminatory?
Irene Chen, Fredrik D. Johansson, David Sontag
stat.MLcs.LGarXiv:1805.12002v22018
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search
Tianhao Zhang, Gregory Kahn, Sergey Levine +1
cs.LGcs.ROarXiv:1509.06791v22015
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Saikat Roy, Gregor Koehler, Constantin Ulrich +5
eess.IVcs.CVcs.LGarXiv:2303.09975v52023
Self-Correction for Human Parsing
Peike Li, Yunqiu Xu, Yunchao Wei +1
cs.CVcs.LGeess.IVarXiv:1910.09777v12019
Learning by tracking: Siamese CNN for robust target association
Laura Leal-Taixé, Cristian Canton Ferrer, Konrad Schindler
cs.LGcs.CVarXiv:1604.07866v32016
Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces
Kyriakos Stylianopoulos, Mattia Fabiani, Giulia Torcolacci +2
eess.SPcs.LGarXiv:2608.27137v12026
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Ke Chen, Xingjian Du, Bilei Zhu +3
cs.SDcs.AIcs.IRarXiv:2202.00874v12022
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGcs.MMarXiv:2104.09036v22021
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
stat.MLcs.AIcs.LGarXiv:1806.07297v12018
GNOT: A General Neural Operator Transformer for Operator Learning
Zhongkai Hao, Zhengyi Wang, Hang Su +6
cs.LGmath.NAphysics.comp-pharXiv:2302.14376v32023
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi, Tianyu Gao, Eshaan Nichani +4
cs.LGcs.CLarXiv:2305.17333v32023
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari, Frederik Ebert, Stephen Tian +6
cs.ROcs.CVcs.LGarXiv:1910.11215v22019
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
cs.LGcs.CVcs.NEarXiv:1506.00511v22015
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du, Zhaoning Wang, Mu Cai +1
cs.LGcs.CVarXiv:2202.01197v42022
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao +2
cs.LGcs.CRcs.IRarXiv:2407.12784v12024
Extended Isolation Forest
Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner
cs.LGastro-ph.IMstat.MLarXiv:1811.02141v32018
Language Models are Realistic Tabular Data Generators
Vadim Borisov, Kathrin Seßler, Tobias Leemann +2
cs.LGarXiv:2210.06280v22022
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
cs.LGarXiv:2405.18765v12024
AI in Finance: Challenges, Techniques and Opportunities
Longbing Cao
q-fin.CPcs.AIcs.CEarXiv:2107.09051v12021
Activation Outliers Matter: Robust Recovery for Quantized Multimodal LLMs
Tanzila Rahman, Mehran Taghian Jazi, Yunke Peng +10
cs.LGarXiv:2608.26581v12026
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He +5
cs.CVcs.CLcs.LGarXiv:1611.08002v22016
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li, Ting Kei Pong
math.OCcs.LGmath.NAarXiv:1407.0753v62014
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Shuming Ma, Hongyu Wang, Lingxiao Ma +7
cs.CLcs.LGarXiv:2402.17764v12024
Incremental Recommendation via Causal Models
Athanasios Vlontzos, David Gustafsson, Michael O'Riordan +1
stat.MLcs.LGstat.MEarXiv:2608.26804v12026
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang, Qiang Zhang, Bingbing Ni +4
cs.CVcs.LGarXiv:1904.03375v12019
Smart routes: a system for development and comparison of algorithms for solving vehicle routing problems with realistic constraints
Andrew Soroka, German Mikhelson, Alexander Mescheryakov +1
cs.LGarXiv:2608.14140v12026
Summaries:한국어

Machine Learning

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

Model-Driven Deep Learning for Physical Layer Communications

Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Learning-based Model Predictive Control for Safe Exploration

Towards Continual Reinforcement Learning: A Review and Perspectives

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation

Data-Free Learning of Student Networks

Reasoning with Language Model Prompting: A Survey

SegDiff: Image Segmentation with Diffusion Probabilistic Models

To understand deep learning we need to understand kernel learning

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Deep MIMO Detection

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Learning Structural Node Embeddings Via Diffusion Wavelets

Evaluating time series forecasting models: An empirical study on performance estimation methods

Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

Understanding the Effects of RLHF on LLM Generalisation and Diversity

Predicting into unknown space? Estimating the area of applicability of spatial prediction models

Scaling Synthetic Data Creation with 1,000,000,000 Personas

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

Pareto Multi-Task Learning

MAVEN: Multi-Agent Variational Exploration

Discovering physical concepts with neural networks

Deep Multi-View Enhancement Hashing for Image Retrieval

When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue

Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Units

Amortised MAP Inference for Image Super-resolution

Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Comparing Rewinding and Fine-tuning in Neural Network Pruning

Theoretical insights into the optimization landscape of over-parameterized shallow neural networks

Communication-Efficient Edge AI: Algorithms and Systems

Text-to-image Diffusion Models in Generative AI: A Survey

Why Is My Classifier Discriminatory?

Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

Self-Correction for Human Parsing

Learning by tracking: Siamese CNN for robust target association

Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

Mining Latent Structures for Multimedia Recommendation

Canonical Tensor Decomposition for Knowledge Base Completion

GNOT: A General Neural Operator Transformer for Operator Learning

Fine-Tuning Language Models with Just Forward Passes

RoboNet: Large-Scale Multi-Robot Learning

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

Extended Isolation Forest

Language Models are Realistic Tabular Data Generators

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

AI in Finance: Challenges, Techniques and Opportunities

Activation Outliers Matter: Robust Recovery for Quantized Multimodal LLMs

Semantic Compositional Networks for Visual Captioning

Global convergence of splitting methods for nonconvex composite optimization

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Incremental Recommendation via Causal Models

Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling

Smart routes: a system for development and comparison of algorithms for solving vehicle routing problems with realistic constraints