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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19,141 to 19,200 of 20,205

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun, Jun Liu, Jian Wu +4
cs.IRcs.LGarXiv:1904.06690v22019
Summaries:한국어
Adversarial Machine Learning at Scale
Alexey Kurakin, Ian Goodfellow, Samy Bengio
cs.CVcs.CRcs.LGarXiv:1611.01236v22016
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.IRarXiv:1003.0146v22010
Local Gains and Fixed-Assignment Set Losses in Shared Set Decoders
Ze Zhang, Yang Zhang
cs.CVcs.LGarXiv:2608.14717v12026
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang +4
cs.CVcs.LGarXiv:1807.11626v32018
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen +3
cs.LGstat.MLarXiv:2201.12740v32022
CFR without Unbiasedness: Deterministic Guarantees for Persistent Public-Chance Schedules
Jiaxing Guo, Lei Ye
cs.GTcs.LGarXiv:2608.14761v12026
The Note-Chord-Voice Framework: Structured Source Separation and Causal Inference for EV Charging Data
Jiajie Chen, Jinfeng Li
eess.SPcs.LGcs.SDarXiv:2608.14756v12026
Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge
Michał Tomaszewski
cs.LGarXiv:2608.14894v12026
Is Grokking a Loss of Normal Hyperbolicity of the Interpolation Manifold?
Suvinava Basak
cs.LGarXiv:2608.14803v12026
Universal and Transferable Adversarial Attacks on Aligned Language Models
Andy Zou, Zifan Wang, Nicholas Carlini +3
cs.CLcs.AIcs.CRarXiv:2307.15043v22023
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
Harshil Lodhiya
cs.LGcs.AIarXiv:2608.14773v12026
A Constant-Competitive Algorithm for Dynamic Mixture-of-Experts Serving
Ian D'Ambrosio
cs.DScs.LGarXiv:2608.16947v12026
Every Expert Counts: ExactMoE for Memory-Efficient W4A16 Inference
Amjad Saab
cs.LGarXiv:2608.15383v12026
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li, Zhichao Han, Xiao-Ming Wu
cs.LGstat.MLarXiv:1801.07606v12018
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu, Chengyue Gong, Qiang Liu
cs.LGarXiv:2209.03003v12022
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre +4
cs.LGcs.NEstat.MLarXiv:1509.09292v22015
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
cs.CVcs.AIcs.LGarXiv:1901.07031v12019
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2105.01601v42021
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye, Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1802.00420v42018
Do Geometry-Aware Positional Encodings Help Transformers in Spatial Imperfect-Information Games?
Wenji Fu
cs.LGcs.AIstat.MLarXiv:2608.14982v12026
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N. Wei, David Duvenaud +7
cs.LGphysics.chem-pharXiv:1610.02415v32016
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow +3
cs.LGcs.AIcs.CVarXiv:1905.02249v22019
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris, Praveer Singh, Nikos Komodakis
cs.CVcs.LGarXiv:1803.07728v12018
Training Compute-Optimal Large Language Models
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch +19
cs.CLcs.LGarXiv:2203.15556v12022
Gradient Episodic Memory for Continual Learning
David Lopez-Paz, Marc'Aurelio Ranzato
cs.LGcs.AIarXiv:1706.08840v62017
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
Continual Lifelong Learning with Neural Networks: A Review
German I. Parisi, Ronald Kemker, Jose L. Part +2
cs.LGq-bio.NCstat.MLarXiv:1802.07569v42018
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst +24
cs.LGcs.AIstat.MLarXiv:1806.01261v32018
Dynamic Entanglement-Weighted Pruning for Quantum Federated Unlearning in Supply-Chain Risk Prediction
Aditya Kumar, Sumit Chongder
quant-phcs.LGarXiv:2608.17069v12026
Reinforcement Learning as (Discrete) Potential Theory
Christopher Connolly
cs.LGcs.GTarXiv:2608.17181v12026
Complex Embeddings for Simple Link Prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel +2
cs.AIcs.LGstat.MLarXiv:1606.06357v12016
rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment
Lars Simon Zehnder
cs.LGcs.DCcs.PFarXiv:2608.17641v22026
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
cs.CVcs.AIcs.LGarXiv:1210.5644v12012
Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat +3
cs.CVcs.AIcs.LGarXiv:2101.01169v52021
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang
stat.MLcs.AIcs.LGarXiv:1703.04730v32017
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
cs.CVcs.LGeess.IVarXiv:2006.09661v12020
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu +15
cs.CVcs.AIcs.LGarXiv:2408.00714v22024
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron +1
cs.CVcs.LGstat.MLarXiv:2209.14988v12022
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall +6
cs.CVcs.LGarXiv:2006.10739v12020
Mistral 7B
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch +15
cs.CLcs.AIcs.LGarXiv:2310.06825v12023
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
cs.CLcs.AIcs.LGarXiv:1607.06520v12016
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao, Li Dong, Songhao Piao +1
cs.CVcs.LGarXiv:2106.08254v22021
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Wenliang Dai, Junnan Li, Dongxu Li +6
cs.CVcs.LGarXiv:2305.06500v22023
Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth
Ivan Viakhirev, Kirill Borodin, Amirah Almutairi +3
cs.LGcs.CLarXiv:2608.18222v12026
End-to-End Training of Deep Visuomotor Policies
Sergey Levine, Chelsea Finn, Trevor Darrell +1
cs.LGcs.CVcs.ROarXiv:1504.00702v52015
Self-Attentive Sequential Recommendation
Wang-Cheng Kang, Julian McAuley
cs.IRcs.LGarXiv:1808.09781v12018
WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing
Wenbo Zhang, Xiang Ren
cs.CLcs.LGarXiv:2608.18486v12026
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1607.01719v12016
Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
Sina Mansouri, Mohit Marvania, Abolfazl Safikhani
cs.CLcs.LGstat.MLarXiv:2608.18102v12026
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda +7
cs.LGcs.AIcs.CLarXiv:2305.20050v12023
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas +1
stat.MLcs.LGarXiv:1805.08318v22018
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu +8
eess.AScs.LGcs.SDarXiv:2005.08100v12020
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang +2
cs.IRcs.LGcs.SIarXiv:1905.08108v22019
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu +1
cs.CVcs.LGarXiv:1805.01978v12018
Recurrent Models of Visual Attention
Volodymyr Mnih, Nicolas Heess, Alex Graves +1
cs.LGcs.CVstat.MLarXiv:1406.6247v12014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio, Nicholas Léonard, Aaron Courville
cs.LGarXiv:1308.3432v12013
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow +3
cs.CRcs.LGarXiv:1602.02697v42016
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu, Karan Goel, Christopher Ré
cs.LGarXiv:2111.00396v32021
You Are What You Prompt: Prompt Quality, Domain Shift, and Uncertainty in Agrifood Vision-Language Models
Andrea Morales-Garzón, Salvador López-Joya, Miguel López-Pérez +1
cs.CLcs.LGarXiv:2608.18116v12026

Machine Learning

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Adversarial Machine Learning at Scale

A Contextual-Bandit Approach to Personalized News Article Recommendation

Local Gains and Fixed-Assignment Set Losses in Shared Set Decoders

MnasNet: Platform-Aware Neural Architecture Search for Mobile

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

CFR without Unbiasedness: Deterministic Guarantees for Persistent Public-Chance Schedules

The Note-Chord-Voice Framework: Structured Source Separation and Causal Inference for EV Charging Data

Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge

Is Grokking a Loss of Normal Hyperbolicity of the Interpolation Manifold?

Universal and Transferable Adversarial Attacks on Aligned Language Models

ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning

A Constant-Competitive Algorithm for Dynamic Mixture-of-Experts Serving

Every Expert Counts: ExactMoE for Memory-Efficient W4A16 Inference

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Convolutional Networks on Graphs for Learning Molecular Fingerprints

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

MLP-Mixer: An all-MLP Architecture for Vision

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Do Geometry-Aware Positional Encodings Help Transformers in Spatial Imperfect-Information Games?

Automatic chemical design using a data-driven continuous representation of molecules

MixMatch: A Holistic Approach to Semi-Supervised Learning

Unsupervised Representation Learning by Predicting Image Rotations

Training Compute-Optimal Large Language Models

Gradient Episodic Memory for Continual Learning

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Continual Lifelong Learning with Neural Networks: A Review

Relational inductive biases, deep learning, and graph networks

Dynamic Entanglement-Weighted Pruning for Quantum Federated Unlearning in Supply-Chain Risk Prediction

Reinforcement Learning as (Discrete) Potential Theory

Complex Embeddings for Simple Link Prediction

rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Transformers in Vision: A Survey

Understanding Black-box Predictions via Influence Functions

Implicit Neural Representations with Periodic Activation Functions

SAM 2: Segment Anything in Images and Videos

DreamFusion: Text-to-3D using 2D Diffusion

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Mistral 7B

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

BEiT: BERT Pre-Training of Image Transformers

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth

End-to-End Training of Deep Visuomotor Policies

Self-Attentive Sequential Recommendation

WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text

Let's Verify Step by Step

Self-Attention Generative Adversarial Networks

Conformer: Convolution-augmented Transformer for Speech Recognition

Neural Graph Collaborative Filtering

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Recurrent Models of Visual Attention

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Practical Black-Box Attacks against Machine Learning

Efficiently Modeling Long Sequences with Structured State Spaces

You Are What You Prompt: Prompt Quality, Domain Shift, and Uncertainty in Agrifood Vision-Language Models