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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14,521 to 14,580 of 20,454

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
Generative Monte Carlo Sampling for Constant-Cost Particle Transport
Joseph A. Farmer, Aidan Murray, Johannes Krotz +1
physics.comp-phcs.LGarXiv:2512.13965v12025
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch, Chandan Singh, Karl Kumbier +2
stat.MLcs.AIcs.LGarXiv:1901.04592v12019
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan, X. Y. Han, David L. Donoho
cs.LGcs.CVstat.MLarXiv:2008.08186v22020
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Chi-Sing Ho, Neal Jean, Catherine A. Hogan +7
q-bio.QMcs.LGstat.MLarXiv:1901.07666v22019
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh +1
cs.LGcs.CVstat.MLarXiv:2005.04345v32020
The frontier of simulation-based inference
Kyle Cranmer, Johann Brehmer, Gilles Louppe
stat.MLcs.LGstat.MEarXiv:1911.01429v32019
Continuous-variable quantum neural networks
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola +3
quant-phcs.LGcs.NEarXiv:1806.06871v12018
AI safety via debate
Geoffrey Irving, Paul Christiano, Dario Amodei
stat.MLcs.LGarXiv:1805.00899v22018
Deep Text Classification Can be Fooled
Bin Liang, Hongcheng Li, Miaoqiang Su +3
cs.CRcs.LGarXiv:1704.08006v22017
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya +10
cs.CVcs.LGarXiv:2306.00989v12023
Measuring Neural Net Robustness with Constraints
Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos +3
cs.LGcs.CVcs.NEarXiv:1605.07262v22016
Embodied Intelligence via Learning and Evolution
Agrim Gupta, Silvio Savarese, Surya Ganguli +1
cs.LGcs.NEcs.ROarXiv:2102.02202v12021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Xiaohan Ding, Xiangyu Zhang, Jungong Han +1
cs.CVcs.AIcs.LGarXiv:2103.13425v22021
Training Language Models to Self-Correct via Reinforcement Learning
Aviral Kumar, Vincent Zhuang, Rishabh Agarwal +15
cs.LGarXiv:2409.12917v22024
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet, Joost Huizinga, Joel Lehman +2
cs.LGcs.AIstat.MLarXiv:1901.10995v42019
Knowledge Distillation from A Stronger Teacher
Tao Huang, Shan You, Fei Wang +2
cs.CVcs.AIcs.LGarXiv:2205.10536v32022
Diagnosing and Enhancing VAE Models
Bin Dai, David Wipf
cs.LGcs.CVstat.MLarXiv:1903.05789v22019
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki +1
cs.AIcs.LGcs.MAarXiv:2103.04931v42021
Neural Operators for Accelerating Scientific Simulations and Design
Kamyar Azizzadenesheli, Nikola Kovachki, Zongyi Li +3
cs.LGphysics.comp-pharXiv:2309.15325v52023
Density Modeling of Images using a Generalized Normalization Transformation
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
cs.LGcs.CVarXiv:1511.06281v42015
Security Evaluation of Pattern Classifiers under Attack
Battista Biggio, Giorgio Fumera, Fabio Roli
cs.LGcs.CRarXiv:1709.00609v12017
A tail inequality for quadratic forms of subgaussian random vectors
Daniel Hsu, Sham M. Kakade, Tong Zhang
math.PRcs.LGarXiv:1110.2842v12011
Graph Convolutional Reinforcement Learning
Jiechuan Jiang, Chen Dun, Tiejun Huang +1
cs.LGcs.AIcs.MAarXiv:1810.09202v52018
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang, Karthik Kashinath, Mustafa Mustafa +2
physics.comp-phcs.LGstat.MLarXiv:1911.08655v42019
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Suchet Bargoti, James Underwood
cs.ROcs.CVcs.LGarXiv:1610.08120v12016
COPOD: Copula-Based Outlier Detection
Zheng Li, Yue Zhao, Nicola Botta +2
stat.MLcs.IRcs.LGarXiv:2009.09463v12020
RUBi: Reducing Unimodal Biases in Visual Question Answering
Remi Cadene, Corentin Dancette, Hedi Ben-younes +2
cs.CVcs.CLcs.LGarXiv:1906.10169v22019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang +3
cs.LGmath.OCstat.MLarXiv:1903.05662v42019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou, Yuan Cao, Dongruo Zhou +1
cs.LGcs.AImath.OCarXiv:1811.08888v32018
Revisiting Natural Gradient for Deep Networks
Razvan Pascanu, Yoshua Bengio
cs.LGmath.NAarXiv:1301.3584v72013
Invocation-Level Reliability of Tool-Using Agents
Afiya Noorain, Subhranshu Mohanty, Amritesh Banerjee +1
cs.AIcs.CLcs.LGarXiv:2608.26189v12026
Ultra-Scalable Spectral Clustering and Ensemble Clustering
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu +2
cs.LGstat.MLarXiv:1903.01057v22019
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang +2
cs.IRcs.LGarXiv:2104.13030v32021
Quantum-enhanced machine learning
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
quant-phcs.AIcs.LGarXiv:1610.08251v12016
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar +4
cs.ROcs.CVcs.LGarXiv:1211.1690v12012
Multi-view Low-rank Sparse Subspace Clustering
Maria Brbic, Ivica Kopriva
cs.CVcs.LGmath.OCarXiv:1708.08732v12017
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
cs.CVcs.LGarXiv:1810.08468v12018
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis +2
cs.CVcs.LGarXiv:1906.05186v12019
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, Fred A. Hamprecht, Martin Storath
cs.LGcs.CVarXiv:1711.07289v32017
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu +6
cs.CVcs.LGarXiv:2208.09392v12022
Summaries:한국어
Isolating Sources of Disentanglement in Variational Autoencoders
Ricky T. Q. Chen, Xuechen Li, Roger Grosse +1
cs.LGcs.AIstat.MLarXiv:1802.04942v52018

Machine Learning

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

Generative Monte Carlo Sampling for Constant-Cost Particle Transport

Interpretable machine learning: definitions, methods, and applications

Prevalence of Neural Collapse during the terminal phase of deep learning training

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

The frontier of simulation-based inference

Continuous-variable quantum neural networks

AI safety via debate

Deep Text Classification Can be Fooled

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

Measuring Neural Net Robustness with Constraints

Embodied Intelligence via Learning and Evolution

Diverse Branch Block: Building a Convolution as an Inception-like Unit

Training Language Models to Self-Correct via Reinforcement Learning

Go-Explore: a New Approach for Hard-Exploration Problems

Knowledge Distillation from A Stronger Teacher

Diagnosing and Enhancing VAE Models

Monte Carlo Tree Search: A Review of Recent Modifications and Applications

Neural Operators for Accelerating Scientific Simulations and Design

Density Modeling of Images using a Generalized Normalization Transformation

Security Evaluation of Pattern Classifiers under Attack

A tail inequality for quadratic forms of subgaussian random vectors

Graph Convolutional Reinforcement Learning

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

COPOD: Copula-Based Outlier Detection

RUBi: Reducing Unimodal Biases in Visual Question Answering

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks

Revisiting Natural Gradient for Deep Networks

Invocation-Level Reliability of Tool-Using Agents

Ultra-Scalable Spectral Clustering and Ensemble Clustering

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation

Quantum-enhanced machine learning

Learning Monocular Reactive UAV Control in Cluttered Natural Environments

Multi-view Low-rank Sparse Subspace Clustering

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

Boosting Few-Shot Visual Learning with Self-Supervision

Learning Steerable Filters for Rotation Equivariant CNNs

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Isolating Sources of Disentanglement in Variational Autoencoders