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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22,501 to 22,560 of 33,197

Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Christian Walder, Deep Karkhanis
cs.LGcs.AIcs.CLarXiv:2505.15201v52025
Exponential separations between classical and quantum learners
Casper Gyurik, Vedran Dunjko
quant-phcs.LGarXiv:2306.16028v22023
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
cs.LGcs.CGmath.FAarXiv:1201.6530v32012
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Ziyi Lin, Chris Liu, Renrui Zhang +13
cs.CVcs.AIcs.CLarXiv:2311.07575v12023
Decentralized Federated Learning: Balancing Communication and Computing Costs
Wei Liu, Li Chen, Wenyi Zhang
cs.LGcs.DCarXiv:2107.12048v42021
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Luca Beurer-Kellner, Marc Fischer, Martin Vechev
cs.LGcs.CLarXiv:2403.06988v12024
Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems
Anna Zimmel, Fleur Hendriks, Markus Holzleitner +4
cs.LGcs.AIcs.CEarXiv:2610.12449v12026
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell, Jason Yim, Regina Barzilay +2
stat.MLcs.LGq-bio.QMarXiv:2402.04997v22024
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y. Guan, Barret Zoph +2
cs.LGcs.CLcs.CVarXiv:1802.03268v22018
A Survey of Direct Preference Optimization
Shunyu Liu, Wenkai Fang, Zetian Hu +9
cs.LGarXiv:2503.11701v12025
Stable Recurrent Models
John Miller, Moritz Hardt
cs.LGstat.MLarXiv:1805.10369v42018
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
Taejin Park, Ivan Medennikov, Kunal Dhawan +6
eess.AScs.CLcs.LGarXiv:2409.06656v32024
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake +1
cs.LGcs.CLcs.CRarXiv:1910.08902v12019
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon, John Bronskill, Matthias Bauer +2
stat.MLcs.LGarXiv:1805.09921v42018
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
eess.SYcs.LGmath.OCarXiv:1701.03974v22017
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
Eunjeong Jeong, Seungeun Oh, Hyesung Kim +3
cs.LGcs.NIstat.MLarXiv:1811.11479v22018
When is there a representer theorem? Vector versus matrix regularizers
Andreas Argyriou, Charles Micchelli, Massimiliano Pontil
cs.LGarXiv:0809.1590v12008
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi, Di Wu, Zhangyang Wang +1
q-bio.BMcs.LGstat.MLarXiv:1806.07537v22018
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz +4
cs.LGcs.CLcs.NEarXiv:1701.06538v12017
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li, Qifeng Chen, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1810.10659v12018
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
Tapas Nayak, Hwee Tou Ng
cs.CLcs.LGarXiv:1911.09886v12019
An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data
Mahshid Rezakhani, Tolunay Seyfi, Fatemeh Afghah
cs.LGcs.NIarXiv:2609.03505v12026
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo +4
cs.LGcs.AIstat.MLarXiv:2404.03828v22024
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
Multi-Agent Diverse Generative Adversarial Networks
Arnab Ghosh, Viveka Kulharia, Vinay Namboodiri +2
cs.CVcs.AIcs.GRarXiv:1704.02906v32017
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos
Jianrui Zhang, Mu Cai, Yong Jae Lee
cs.CVcs.AIcs.CLarXiv:2410.02763v12024
Go Wider Instead of Deeper
Fuzhao Xue, Ziji Shi, Futao Wei +3
cs.LGcs.AIcs.CVarXiv:2107.11817v32021
Decoding Speculative Decoding
Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
cs.LGcs.CLarXiv:2402.01528v42024
Wavelet Convolutional Neural Networks
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
cs.CVcs.LGarXiv:1805.08620v12018
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco, Christopher Musco
cs.DScs.LGmath.NAarXiv:1504.05477v42015
Unapologetically Distributed: A Call for Decentralized Document Analysis
Adrià Molina, Oriol Ramos Terrades, Josep Lladós
cs.CVcs.LGarXiv:2609.39684v12026
Neural Modular Control for Embodied Question Answering
Abhishek Das, Georgia Gkioxari, Stefan Lee +2
cs.AIcs.CLcs.CVarXiv:1810.11181v22018
USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
Shaojin Wu, Mengqi Huang, Yufeng Cheng +5
cs.CVcs.LGarXiv:2508.18966v12025
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond
Zunhai Su, Rui Yang, Chao Zhang +11
cs.LGcs.CLarXiv:2605.19660v12026
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Yinggan Xu, Kajetan Schweighofer, Risto Miikkulainen +1
cs.LGcs.AIarXiv:2602.03120v22026
Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints
Thomas MacDougall, Maksim Kuznetsov, Roman Schutski +5
cs.LGcs.AIcs.CLarXiv:2607.18144v12026
Meta-learning with differentiable closed-form solvers
Luca Bertinetto, João F. Henriques, Philip H. S. Torr +1
cs.CVcs.LGstat.MLarXiv:1805.08136v32018
A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents
Ismail El Hamraoui, Sagar Jose, Nicolas Bureau +1
cs.AIcs.LGcs.MAarXiv:2608.14109v12026
Capsule Lens: Locating and Tracking Concept Geometry in Model Representations
Yiming Tang, Harshvardhan Saini, Samyak Jha +3
cs.LGcs.CVarXiv:2609.05575v12026
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon +3
cs.LGcs.AIarXiv:2501.10893v12025
Bilinear Attention Networks
Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang
cs.CVcs.AIcs.CLarXiv:1805.07932v22018
Music transcription modelling and composition using deep learning
Bob L. Sturm, João Felipe Santos, Oded Ben-Tal +1
cs.SDcs.LGarXiv:1604.08723v12016
Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
Yucheng Zhou, Hao Li, Jianbing Shen
eess.IVcs.CVcs.LGarXiv:2602.07022v12026
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
Jiang Li, Xiaoping Wang, Guoqing Lv +1
cs.CLcs.LGcs.MMarXiv:2207.12261v42022
Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Emre Ardıç, Yakup Genç
cs.CVcs.LGarXiv:2604.26116v12026
Relevance-based Word Embedding
Hamed Zamani, W. Bruce Croft
cs.IRcs.CLcs.LGarXiv:1705.03556v22017
QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
Nan Zhang, Eugene Kwek, Yusen Zhang +4
cs.LGcs.AIarXiv:2602.02581v12026
Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents
Utsav Garg, Sungjin Hong, Jason Jung +6
cs.AIcs.LGarXiv:2606.31648v12026
MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models
Hanyang Yu, Haitao Lin, Jingbo Zhang +4
cs.CVcs.LGcs.ROarXiv:2606.13515v12026
DAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models
Yohan Choi, Min-Jun Kim, Jin-Sung Kim +2
cs.ROcs.AIcs.CVarXiv:2609.29092v12026
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
Ziqian Zhong, Ziming Liu, Max Tegmark +1
cs.LGarXiv:2306.17844v22023
R3M: A Universal Visual Representation for Robot Manipulation
Suraj Nair, Aravind Rajeswaran, Vikash Kumar +2
cs.ROcs.AIcs.CVarXiv:2203.12601v32022
Language-driven Semantic Segmentation
Boyi Li, Kilian Q. Weinberger, Serge Belongie +2
cs.CVcs.CLcs.LGarXiv:2201.03546v22022
Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization
Srijan Sood, Kassiani Papasotiriou, Marius Vaiciulis +1
q-fin.PMcs.AIcs.LGarXiv:2602.17098v12026
Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka +1
stat.MLcs.LGarXiv:1810.10775v22018
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew Brown +7
cs.CVcs.AIcs.GRarXiv:2311.10709v22023
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li +2
cs.CVcs.AIcs.LGarXiv:2403.06135v12024
Tree Tensor Networks for Generative Modeling
Song Cheng, Lei Wang, Tao Xiang +1
stat.MLcond-mat.stat-mechcs.LGarXiv:1901.02217v12019
Density Ratio Estimation with Stein Displacement Fields
Song Liu
stat.MLcs.LGarXiv:2610.12437v12026
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks
Tai-Yu Ma, Sébastien Faye
cs.LGcs.NEarXiv:2106.04986v22021

Machine Learning

Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

Exponential separations between classical and quantum learners

Random Feature Maps for Dot Product Kernels

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Decentralized Federated Learning: Balancing Communication and Computing Costs

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Efficient Neural Architecture Search via Parameter Sharing

A Survey of Direct Preference Optimization

Stable Recurrent Models

Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations

Meta-Learning Probabilistic Inference For Prediction

An Online Convex Optimization Approach to Dynamic Network Resource Allocation

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

When is there a representer theorem? Vector versus matrix regularizers

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction

An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Multi-Agent Diverse Generative Adversarial Networks

Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Go Wider Instead of Deeper

Decoding Speculative Decoding

Wavelet Convolutional Neural Networks

Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition

Unapologetically Distributed: A Call for Decentralized Document Analysis

Neural Modular Control for Embodied Question Answering

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning

OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond

Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints

Meta-learning with differentiable closed-form solvers

A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents

Capsule Lens: Locating and Tracking Concept Geometry in Model Representations

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Bilinear Attention Networks

Music transcription modelling and composition using deep learning

Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss

GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

Relevance-based Word Embedding

QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents

MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models

DAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

R3M: A Universal Visual Representation for Robot Manipulation

Language-driven Semantic Segmentation

Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization

Adversarially Robust Optimization with Gaussian Processes

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

MACE: Mass Concept Erasure in Diffusion Models

Tree Tensor Networks for Generative Modeling

Density Ratio Estimation with Stein Displacement Fields

Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks