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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9,961 to 10,020 of 19,974

Self-concordant analysis for logistic regression
Francis Bach
cs.LGmath.STarXiv:0910.4627v12009
What Large Language Models Know and What People Think They Know
Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar +5
cs.LGcs.AIcs.CLarXiv:2401.13835v22024
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
Hongyang Li, Chonghao Sima, Jifeng Dai +19
cs.CVcs.LGcs.ROarXiv:2209.05324v42022
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods
A. Adolfsson, M. Ackerman, N. C. Brownstein
stat.MLcs.LGarXiv:1808.08317v12018
Deep Learning for Anomaly Detection in Log Data: A Survey
Max Landauer, Sebastian Onder, Florian Skopik +1
cs.LGarXiv:2207.03820v22022
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang +2
cs.CVcs.LGarXiv:1803.01837v12018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin +2
cs.CVcs.LGstat.MLarXiv:1804.01118v12018
Code Prediction by Feeding Trees to Transformers
Seohyun Kim, Jinman Zhao, Yuchi Tian +1
cs.SEcs.LGarXiv:2003.13848v42020
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
eess.AScs.CLcs.LGarXiv:1811.07453v22018
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk +2
stat.MLcs.AIcs.CRarXiv:1709.06662v22017
Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia +2
cs.LGcs.AIcs.SEarXiv:1910.05923v12019
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Lei Wu, Zhanxing Zhu, Weinan E
cs.LGcs.AIstat.MLarXiv:1706.10239v22017
Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems
Ting-Hui Cheng, Line Katrine Harder Clemmensen, Sneha Das
cs.CLcs.LGarXiv:2608.30853v12026
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
Zhenglun Kong, Peiyan Dong, Xiaolong Ma +9
cs.CVcs.AIcs.ARarXiv:2112.13890v22021
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam +1
cs.CVcs.AIcs.LGarXiv:2203.03580v22022
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
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville, Wai Weng Lo, Siamak Layeghy +1
cs.LGcs.AIcs.CRarXiv:2207.06819v52022
TopoCompress: Long Context Compression via Graph-Wired Semantic Trajectories
Daniel Agyei Asante, Yang Li
cs.CLcs.LGarXiv:2608.30811v12026
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen +5
cs.LGstat.MLarXiv:2005.07186v22020
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce +2
cs.CLcs.AIcs.LGarXiv:2401.06102v42024
Inferring clonal evolution of tumors from single nucleotide somatic mutations
Wei Jiao, Shankar Vembu, Amit G. Deshwar +2
cs.LGq-bio.PEq-bio.QMarXiv:1210.3384v42012
Foundation Models for Generalist Geospatial Artificial Intelligence
Johannes Jakubik, Sujit Roy, C. E. Phillips +30
cs.CVcs.LGarXiv:2310.18660v22023
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
Yong Zeng, Xiaoli Xu, Shi Jin +1
eess.SPcs.ITcs.LGarXiv:2003.07574v12020
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Pedro F. Proenca, Yang Gao
cs.CVcs.LGcs.ROarXiv:1907.04298v22019
When Deep Learning Met Code Search
Jose Cambronero, Hongyu Li, Seohyun Kim +2
cs.SEcs.CLcs.LGarXiv:1905.03813v42019
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi, Max Welling, Andrew Gordon Wilson
cs.LGmath.DSstat.MLarXiv:2104.09459v12021
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry, Yair Carmon
stat.MLcs.LGcs.NEarXiv:1605.08361v22016
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song +5
cs.CRcs.AIcs.LGarXiv:2206.10341v12022
$β$-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez +4
physics.flu-dyncs.LGarXiv:2304.03571v22023
Active Deep Learning for Classification of Hyperspectral Images
Peng Liu, Hui Zhang, Kie B. Eom
cs.LGcs.CVstat.MLarXiv:1611.10031v12016
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang, Max W. Y. Lam, Jun Wang +4
eess.AScs.LGcs.SDarXiv:2204.09934v12022
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
Yang Wang, Wenjie Zhang, Lin Wu +3
cs.LGstat.MLarXiv:1608.05560v12016
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson, William Chan, Jonathan Ho +1
cs.LGarXiv:2202.05830v12022
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model
Tao Guo, Song Guo, Junxiao Wang +1
cs.LGarXiv:2208.11625v12022
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Zheng Lian, Lan Chen, Licai Sun +2
cs.LGcs.CLarXiv:2203.02177v22022
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
Self-Supervised Models are Continual Learners
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda +3
cs.CVcs.LGarXiv:2112.04215v22021
Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer +1
cs.LGcs.AIarXiv:2003.00153v32020
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang +4
cs.CLcs.AIcs.LGarXiv:1908.01843v12019
A Survey on Incomplete Multi-view Clustering
Jie Wen, Zheng Zhang, Lunke Fei +4
cs.LGcs.MMarXiv:2208.08040v12022
An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Philippe Meyer, Guillaume Gricourt, Thomas Duigou +2
cs.CLcs.AIcs.LGarXiv:2608.30702v12026
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017
Type-Constrained Representation Learning in Knowledge Graphs
Denis Krompaß, Stephan Baier, Volker Tresp
cs.AIcs.LGarXiv:1508.02593v22015
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir De, Gourhari Jana +3
cs.LGphysics.soc-phstat.MLarXiv:1802.05283v42018
Extreme Compression of Large Language Models via Additive Quantization
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev +3
cs.LGcs.CLarXiv:2401.06118v42024
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo +1
cs.LGstat.MLarXiv:2010.13924v12020
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
cs.CLcs.AIcs.LGarXiv:2608.30646v12026
What It Costs to Compose, Rebuild, and Correct Precomputed Memory
Asa Shepard
cs.CLcs.LGarXiv:2608.30647v12026
GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning
Outongyi Lv, Yuanwei Zhang, Xiaoqun Zhang
cs.CLcs.AIcs.LGarXiv:2608.30632v12026
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi +2
cs.LGarXiv:1705.08422v12017
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li +4
cs.LGarXiv:2310.09751v32023
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
cs.CVcs.LGarXiv:1511.07386v22015
A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
physics.geo-phcs.AIcs.LGarXiv:1911.05975v12019
Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training
Lukas Borggren, Jenny Kunz, Marco Kuhlmann
cs.CLcs.AIcs.LGarXiv:2608.30609v12026
Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Austin Stone +10
cs.ROcs.AIcs.CLarXiv:2302.11550v12023
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
cs.LGcs.AIcs.CLarXiv:2404.09932v22024
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Michele Polese, Leonardo Bonati, Salvatore D'Oro +2
cs.NIcs.LGarXiv:2112.09559v22021
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris, Nikos Komodakis
cs.CVcs.LGarXiv:1905.01102v12019
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang +17
cs.CLcs.AIcs.LGarXiv:2203.06904v22022
A Primer on PAC-Bayesian Learning
Benjamin Guedj
stat.MLcs.LGarXiv:1901.05353v32019

Machine Learning

Self-concordant analysis for logistic regression

What Large Language Models Know and What People Think They Know

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

To Cluster, or Not to Cluster: An Analysis of Clusterability Methods

Deep Learning for Anomaly Detection in Log Data: A Survey

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Synthesizing Programs for Images using Reinforced Adversarial Learning

Code Prediction by Feeding Trees to Transformers

The PyTorch-Kaldi Speech Recognition Toolkit

Verifying Properties of Binarized Deep Neural Networks

Code Generation as a Dual Task of Code Summarization

Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes

Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

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

Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks

TopoCompress: Long Context Compression via Graph-Wired Semantic Trajectories

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Inferring clonal evolution of tumors from single nucleotide somatic mutations

Foundation Models for Generalist Geospatial Artificial Intelligence

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

When Deep Learning Met Code Search

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

No bad local minima: Data independent training error guarantees for multilayer neural networks

Neurotoxin: Durable Backdoors in Federated Learning

$β$-Variational autoencoders and transformers for reduced-order modelling of fluid flows

Active Deep Learning for Classification of Hyperspectral Images

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation

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

Self-Supervised Models are Continual Learners

Learning Near Optimal Policies with Low Inherent Bellman Error

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

A Survey on Incomplete Multi-view Clustering

An Agentic Retrobiosynthesis Framework with Learned Frontier Selection

How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

Type-Constrained Representation Learning in Knowledge Graphs

NeVAE: A Deep Generative Model for Molecular Graphs

Extreme Compression of Large Language Models via Additive Quantization

Benchmarking Deep Learning Interpretability in Time Series Predictions

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

What It Costs to Compose, Rebuild, and Correct Precomputed Memory

GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning

Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Pushing the Boundaries of Boundary Detection using Deep Learning

A Machine-Learning Approach for Earthquake Magnitude Estimation

Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

Scaling Robot Learning with Semantically Imagined Experience

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms

Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

A Primer on PAC-Bayesian Learning