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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781 to 840 of 20,193

Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity
Zavier Li
cs.LGmath.OCarXiv:2609.12991v12026
Summaries:한국어
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
It Takes Two: Your GRPO Is Secretly DPO
Yihong Wu, Liheng Ma, Lei Ding +9
cs.LGcs.CLarXiv:2510.00977v32025
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:1810.03237v12018
Verifier-free Test-Time Sampling for Vision-Language-Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim +2
cs.ROcs.AIcs.LGarXiv:2510.05681v22025
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
Yuxiao Qu, Anikait Singh, Yoonho Lee +4
cs.AIcs.CLcs.LGarXiv:2510.02263v12025
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch +5
cs.LGarXiv:2106.04799v12021
Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
Shivang Rawat, Mirko Morello, Flaviano Morone +1
cs.LGcs.NEq-bio.NCarXiv:2609.04134v12026
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity
Joana Lorenz, Maria Inês Silva, David Aparício +2
cs.LGstat.MLarXiv:2005.14635v22020
WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
Stephan Rasp, Boris Babenko, Dominic Masters +22
cs.LGarXiv:2609.03582v12026
Summaries:한국어
Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning
Michael Khavkin, Kichang Lee, Jaeho Jin +2
cs.LGarXiv:2609.03851v12026
SWIM: Student Writing Simulation via Proficiency-Conditioned Generation
Heejin Do, Jakub Kontak, Mrinmaya Sachan
cs.CLcs.LGarXiv:2609.03215v12026
Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners
David Milec, Spyridon Samothrakis, Michael Fairbank +1
cs.LGcs.AIarXiv:2609.03660v12026
EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models
Dingkun Liu, Yuheng Chen, Zhu Chen +5
cs.LGcs.CVarXiv:2601.17883v32026
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Hongye Jin, Xiaotian Han, Jingfeng Yang +5
cs.CLcs.AIcs.LGarXiv:2401.01325v32024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu, Tri Dao
cs.LGcs.AIarXiv:2312.00752v22023
Summaries:한국어
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
cs.LGcs.AIcs.CLarXiv:2302.06675v42023
Matryoshka Representation Learning
Aditya Kusupati, Gantavya Bhatt, Aniket Rege +8
cs.LGcs.CVarXiv:2205.13147v42022
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang, Shaoshuai Shi, Zhe Wang +2
cs.CVcs.LGarXiv:2103.05346v22021
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
cs.LGcs.AIstat.MLarXiv:2006.07500v32020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang +2
cs.CVcs.LGstat.MLarXiv:2003.10780v12020
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei, Lei Feng, Xiangyu Chen +1
cs.CVcs.LGstat.MLarXiv:2003.02752v32020
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi, Donatella Firmani, Antonio Matinata +2
cs.LGcs.DBstat.MLarXiv:2002.00819v42020
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni +4
cs.CVcs.LGarXiv:1912.01805v12019
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield +3
cs.LGstat.MLarXiv:1908.09710v32019
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn, Sungmin Cha, Donggyu Lee +1
cs.LGstat.MLarXiv:1905.11614v32019
Simplifying Graph Convolutional Networks
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza +3
cs.LGstat.MLarXiv:1902.07153v22019
Formal Limitations on the Measurement of Mutual Information
David McAllester, Karl Stratos
cs.ITcs.LGstat.MLarXiv:1811.04251v42018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner, Aaron Klein, Frank Hutter
cs.LGstat.MLarXiv:1807.01774v12018
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler +2
cs.CRcs.LGcs.SDarXiv:2007.06622v32020
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Heechang Ryu, Hayong Shin, Jinkyoo Park
cs.LGcs.AIcs.MAarXiv:1909.12557v22019
A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines
Sompote Youwai, Chana Phutthananon, Warat Kongkitkul
cs.LGarXiv:2609.03337v12026
Shaping capabilities with token-level data filtering
Neil Rathi, Alec Radford
cs.LGcs.AIcs.CLarXiv:2601.21571v22026
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Behric +8
cs.LGcs.AIarXiv:2601.20802v22026
Stronger Normalization-Free Transformers
Mingzhi Chen, Taiming Lu, Jiachen Zhu +2
cs.LGcs.AIcs.CLarXiv:2512.10938v22025
SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent
Yandan Yang, Baoxiong Jia, Shujie Zhang +1
cs.GRcs.CVcs.LGarXiv:2509.20414v22025
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Bo Liu, Leon Guertler, Simon Yu +9
cs.AIcs.CLcs.LGarXiv:2506.24119v32025
Improving and Simplifying Pattern Exploiting Training
Derek Tam, Rakesh R Menon, Mohit Bansal +2
cs.CLcs.AIcs.LGarXiv:2103.11955v32021
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath +5
cs.LGcs.AIcs.CLarXiv:2103.03874v22021
Improving GANs Using Optimal Transport
Tim Salimans, Han Zhang, Alec Radford +1
cs.LGstat.MLarXiv:1803.05573v12018
Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
James Chua, Jan Betley, Mia Taylor +1
cs.LGcs.AIcs.CLarXiv:2506.13206v22025
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider +2
cs.LGstat.MLarXiv:1802.07191v32018
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Mustafa Shukor, Dana Aubakirova, Francesco Capuano +11
cs.LGcs.ROarXiv:2506.01844v12025
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Jason Lee, Elman Mansimov, Kyunghyun Cho
cs.LGcs.CLstat.MLarXiv:1802.06901v32018
Neural Voice Cloning with a Few Samples
Sercan O. Arik, Jitong Chen, Kainan Peng +2
cs.CLcs.LGcs.SDarXiv:1802.06006v32018
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
cs.LGcs.AIcs.ROarXiv:2102.06177v22021
Vision Language Models are Biased
An Vo, Khai-Nguyen Nguyen, Mohammad Reza Taesiri +3
cs.LGcs.CVarXiv:2505.23941v42025
Efficient Exploration through Bayesian Deep Q-Networks
Kamyar Azizzadenesheli, Animashree Anandkumar
cs.AIcs.LGstat.MLarXiv:1802.04412v42018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li, Yves Grandvalet, Franck Davoine
cs.LGarXiv:1802.01483v22018
Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone +6
cs.LGcs.CLarXiv:2101.05779v32021
Learning coordinated badminton skills for legged manipulators
Yuntao Ma, Andrei Cramariuc, Farbod Farshidian +1
cs.ROcs.LGarXiv:2505.22974v22025
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
Stephane Fotso
stat.MLcs.LGarXiv:1801.05512v12018
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio +3
cs.ARcs.LGarXiv:2012.11233v12020
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang, Kai Yuan, Qiuguo Zhu +2
cs.ROcs.AIcs.LGarXiv:2012.05810v12020
On the Binding Problem in Artificial Neural Networks
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:2012.05208v12020
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman +2
cs.LGcs.CVeess.IVarXiv:2012.02364v22020
Improved Contrastive Divergence Training of Energy Based Models
Yilun Du, Shuang Li, Joshua Tenenbaum +1
cs.LGarXiv:2012.01316v42020
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Yiping Wang, Qing Yang, Zhiyuan Zeng +11
cs.LGcs.AIcs.CLarXiv:2504.20571v32025
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio +3
cs.LGmath.DSstat.MLarXiv:2011.09468v42020
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal, Andrei A. Rusu +6
stat.MLcs.AIcs.LGarXiv:1707.08475v22017

Machine Learning

Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

It Takes Two: Your GRPO Is Secretly DPO

Task-Embedded Control Networks for Few-Shot Imitation Learning

Verifier-free Test-Time Sampling for Vision-Language-Action Models

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems

Pretraining Representations for Data-Efficient Reinforcement Learning

Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks

Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

WeatherNext 3: Increasing resolution and performance of global weather models with raw observations

Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

SWIM: Student Writing Simulation via Proficiency-Conditioned Generation

Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Symbolic Discovery of Optimization Algorithms

Matryoshka Representation Learning

ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

Domain Generalization using Causal Matching

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective

Combating noisy labels by agreement: A joint training method with co-regularization

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Adversarial Domain Adaptation with Domain Mixup

Variational Graph Recurrent Neural Networks

Uncertainty-based Continual Learning with Adaptive Regularization

Simplifying Graph Convolutional Networks

Formal Limitations on the Measurement of Mutual Information

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines

Shaping capabilities with token-level data filtering

Reinforcement Learning via Self-Distillation

Stronger Normalization-Free Transformers

SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

Improving and Simplifying Pattern Exploiting Training

Measuring Mathematical Problem Solving With the MATH Dataset

Improving GANs Using Optimal Transport

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Neural Voice Cloning with a Few Samples

Multi-Task Reinforcement Learning with Context-based Representations

Vision Language Models are Biased

Efficient Exploration through Bayesian Deep Q-Networks

Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Structured Prediction as Translation between Augmented Natural Languages

Learning coordinated badminton skills for legged manipulators

Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Multi-expert learning of adaptive legged locomotion

On the Binding Problem in Artificial Neural Networks

Deep Learning for Medical Anomaly Detection -- A Survey

Improved Contrastive Divergence Training of Energy Based Models

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Gradient Starvation: A Learning Proclivity in Neural Networks

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning