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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24,961 to 25,020 of 33,311

Continual Graph Multi-Agent Reinforcement Learning
Tommaso Marzi, Ahmed Hendawy, Jan Peters +3
cs.LGarXiv:2610.10302v12026
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Edward Raff, Jared Sylvester, Charles Nicholas
stat.MLcs.LGarXiv:1709.01471v22017
Crystalite: A Lightweight Transformer for Efficient Crystal Modeling
Tin Hadži Veljković, Joshua Rosenthal, Ivor Lončarić +1
cs.LGcs.AIarXiv:2604.02270v22026
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng, Ningyu Zhang, Jiaojian Kang +3
cs.CLcs.AIcs.IRarXiv:1910.11621v22019
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1806.08730v12018
Unsupervised Question Decomposition for Question Answering
Ethan Perez, Patrick Lewis, Wen-tau Yih +2
cs.CLcs.AIcs.LGarXiv:2002.09758v32020
Single-Channel Multi-Speaker Separation using Deep Clustering
Yusuf Isik, Jonathan Le Roux, Zhuo Chen +2
cs.LGcs.SDstat.MLarXiv:1607.02173v12016
Revisiting Explainable AI through Model-Independent Concept Dictionaries
Thomas Schnake, Doreen Schöppenthau, Alexander Meyer +3
cs.LGstat.MLarXiv:2610.10301v12026
Invariant Representations without Adversarial Training
Daniel Moyer, Shuyang Gao, Rob Brekelmans +2
cs.LGstat.MLarXiv:1805.09458v42018
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Jiajun Chen, Huarui He, Feng Wu +1
cs.LGcs.CLarXiv:2103.03642v12021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGarXiv:2008.04495v72020
Discovering and Achieving Goals via World Models
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis +2
cs.LGcs.AIcs.CVarXiv:2110.09514v12021
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar +1
cs.CVcs.LGarXiv:1809.05934v22018
Kernel Identification Through Transformers
Fergus Simpson, Ian Davies, Vidhi Lalchand +3
stat.MLcs.LGarXiv:2106.08185v22021
Robust Self-Supervised Audio-Visual Speech Recognition
Bowen Shi, Wei-Ning Hsu, Abdelrahman Mohamed
cs.SDcs.CVcs.LGarXiv:2201.01763v32022
Revisiting Diffusion Model Predictions Through Dimensionality
Qing Jin, Chaoyang Wang
cs.LGcs.CVarXiv:2601.21419v22026
A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods
Marco Riedenauer, Daniel Kienzle, Pratik Mayekar +1
cs.CVcs.LGarXiv:2610.09677v12026
Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals +2
cs.CLcs.LGstat.MLarXiv:1807.03819v32018
Generalized End-to-End Loss for Speaker Verification
Li Wan, Quan Wang, Alan Papir +1
eess.AScs.CLcs.LGarXiv:1710.10467v52017
Learning Operators with Coupled Attention
Georgios Kissas, Jacob Seidman, Leonardo Ferreira Guilhoto +3
cs.LGcs.AIphysics.comp-pharXiv:2201.01032v12022
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
Ruihan Zhang, Prashan Madumal, Tim Miller +2
cs.CVcs.AIcs.LGarXiv:2006.15417v42020
RWKV-7 "Goose" with Expressive Dynamic State Evolution
Bo Peng, Ruichong Zhang, Daniel Goldstein +15
cs.CLcs.AIcs.LGarXiv:2503.14456v22025
Sparse Planning in Visual World Models via Cost Gradients
Yingchen Xu, Edward Grefenstette
cs.LGarXiv:2610.10274v12026
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan +5
cs.LGarXiv:2310.09656v32023
Riemannian Structure and Optimization for a Class of Low-Parametric Orthogonal Matrices
Ali Aliev, Maxim Rakhuba
cs.LGcs.AIcs.NAarXiv:2609.27982v12026
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
Confidence-Aware Multi-Teacher Knowledge Distillation
Hailin Zhang, Defang Chen, Can Wang
cs.LGcs.AIarXiv:2201.00007v32021
Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
Jiahao Wu, Ning Lu, Shengcai Liu +6
cs.LGcs.AIarXiv:2603.25184v32026
Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler, Markus Eisenbach, Horst-Michael Gross
cs.CVcs.LGarXiv:2112.11699v22021
Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent
Aleksandar Botev, Guy Lever, David Barber
stat.MLcs.LGarXiv:1607.01981v22016
Evaluation Metrics for Unsupervised Learning Algorithms
Julio-Omar Palacio-Niño, Fernando Berzal
cs.LGstat.MLarXiv:1905.05667v22019
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
Andrew Wagenmaker, Mitsuhiko Nakamoto, Yunchu Zhang +5
cs.ROcs.LGarXiv:2506.15799v22025
The Limits of Binding in Dual Encoders
Kin Ian Lo
cs.LGcs.CLcs.CVarXiv:2608.15971v12026
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Chan Hee Song, Jiaman Wu, Clayton Washington +3
cs.AIcs.CLcs.CVarXiv:2212.04088v32022
Rethinking the Diffusion Model from a Langevin Perspective
Candi Zheng, Yuan Lan
cs.LGcs.AIcs.CVarXiv:2604.10465v12026
Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction
Rares Dimitrie Grozavescu, Mark Girolami
cs.LGmath.STstat.MLarXiv:2609.37917v12026
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer +1
cs.LGcs.AIcs.SYarXiv:2112.03212v32021
Finite-Sample Approximation of Hessian-Guided Perturbed Wasserstein Gradient Flows
Ryotaro Kawata, Atsushi Nitanda, Taiji Suzuki
cs.LGstat.MLarXiv:2610.10218v12026
Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents
Luiz C. Borro, Luiz A. B. Macarini, Gordon Tindall +2
cs.LGarXiv:2603.19935v12026
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data
Atindra Jha, Margaret Li, Jure Leskovec +2
cs.LGcs.CLarXiv:2609.11917v12026
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens, Roger Grosse
cs.LGcs.NEstat.MLarXiv:1503.05671v72015
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1810.12065v42018
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Runqian Wang, Yilun Du
cs.LGcs.AIcs.CVarXiv:2510.02300v32025
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Jiefeng Chen, Yixuan Li, Xi Wu +2
cs.LGstat.MLarXiv:2006.15207v42020
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
Jiaqi Wei, Yuejin Yang, Xiang Zhang +24
cs.LGarXiv:2508.14111v22025
Towards Coherent and Consistent Use of Entities in Narrative Generation
Pinelopi Papalampidi, Kris Cao, Tomas Kocisky
cs.CLcs.LGarXiv:2202.01709v12022
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi, Victoria Dean, Deepak Pathak +1
cs.LGarXiv:2111.13119v12021
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum +2
cs.LGcs.CVcs.CYarXiv:2212.03860v32022
SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization
Zhengcheng Wang, Zichuan Lin, Yijun Yang +2
cs.LGarXiv:2512.02631v12025
Learning to Detect Language Model Training Data via Active Reconstruction
Junjie Oscar Yin, John X. Morris, Vitaly Shmatikov +2
cs.LGcs.AIcs.CLarXiv:2602.19020v12026
Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction
Shivang Chopra, Fotis Iliopoulos, Zsolt Kira +1
cs.LGcs.AIarXiv:2609.37905v12026
Classification-based Financial Markets Prediction using Deep Neural Networks
Matthew Dixon, Diego Klabjan, Jin Hoon Bang
cs.LGcs.CEarXiv:1603.08604v22016
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
cs.LGcs.AIstat.MLarXiv:1801.04016v12018
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
Mind Lab, :, Vin Bo +64
cs.LGcs.CLarXiv:2606.02437v22026
Strongly Adaptive Online Learning
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
cs.LGarXiv:1502.07073v32015
Limited Structural Reliability in Public Educational Prediction Benchmarks: A Four-Dimension Audit of Seven Datasets
Yan Ma, Lizhuo Zhang
cs.LGarXiv:2609.29625v12026
OrthoGen: A Generative Orthogonal Learner for Time-Varying Treatments
Tomàs Garriga, Valentyn Melnychuk, Konstantin Hess +4
cs.LGarXiv:2610.10210v12026
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks
Jingyao Li, Pengguang Chen, Bin Xia +2
cs.LGcs.PLcs.SEarXiv:2312.15960v52023
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
stat.MLcs.DCcs.LGarXiv:1908.08098v32019
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi +3
cs.LGcs.AIarXiv:2511.04217v12025

Machine Learning

Continual Graph Multi-Agent Reinforcement Learning

Learning the PE Header, Malware Detection with Minimal Domain Knowledge

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

The Natural Language Decathlon: Multitask Learning as Question Answering

Unsupervised Question Decomposition for Question Answering

Single-Channel Multi-Speaker Separation using Deep Clustering

Revisiting Explainable AI through Model-Independent Concept Dictionaries

Invariant Representations without Adversarial Training

Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

Discovering and Achieving Goals via World Models

Maximum-Entropy Fine-Grained Classification

Kernel Identification Through Transformers

Robust Self-Supervised Audio-Visual Speech Recognition

Revisiting Diffusion Model Predictions Through Dimensionality

A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods

Universal Transformers

Generalized End-to-End Loss for Speaker Verification

Learning Operators with Coupled Attention

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

RWKV-7 "Goose" with Expressive Dynamic State Evolution

Sparse Planning in Visual World Models via Cost Gradients

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Riemannian Structure and Optimization for a Class of Low-Parametric Orthogonal Matrices

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

Confidence-Aware Multi-Teacher Knowledge Distillation

Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

Few-Shot Object Detection: A Comprehensive Survey

Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent

Evaluation Metrics for Unsupervised Learning Algorithms

Steering Your Diffusion Policy with Latent Space Reinforcement Learning

The Limits of Binding in Dual Encoders

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Rethinking the Diffusion Model from a Langevin Perspective

Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction

Physically Consistent Neural Networks for building thermal modeling: theory and analysis

Finite-Sample Approximation of Hessian-Guided Perturbed Wasserstein Gradient Flows

Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents

Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

On the Convergence Rate of Training Recurrent Neural Networks

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models

ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

Towards Coherent and Consistent Use of Entities in Narrative Generation

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization

Learning to Detect Language Model Training Data via Active Reconstruction

Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction

Classification-based Financial Markets Prediction using Deep Neural Networks

Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Strongly Adaptive Online Learning

Limited Structural Reliability in Public Educational Prediction Benchmarks: A Four-Dimension Audit of Seven Datasets

OrthoGen: A Generative Orthogonal Learner for Time-Varying Treatments

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

BRIDGE: Byzantine-resilient Decentralized Gradient Descent

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms