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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27,541 to 27,600 of 33,107

Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li +5
cs.CVcs.AIcs.CLarXiv:2404.01291v22024
A Brief Introduction to Machine Learning for Engineers
Osvaldo Simeone
cs.LGcs.ITstat.MLarXiv:1709.02840v32017
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend, Niklas Koep, Sebastian Weichwald
cs.MScs.LGmath.OCarXiv:1603.03236v42016
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington +4
cs.LGstat.MLarXiv:2007.15801v22020
Unified Image and Video Saliency Modeling
Richard Droste, Jianbo Jiao, J. Alison Noble
cs.CVcs.LGarXiv:2003.05477v32020
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi +2
cs.LGcs.NAmath.NAarXiv:2410.08709v42024
Feedback Recurrent Autoencoder for Video Compression
Adam Golinski, Reza Pourreza, Yang Yang +2
cs.LGcs.CVstat.MLarXiv:2004.04342v12020
Hierarchy-Aware Semantic Losses for Knowledge Graph Link Prediction
Filip Kronström, Ross D. King
cs.LGarXiv:2608.22981v12026
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
Zijian Hu, Zhengyu Yang, Xuefeng Hu +1
cs.CVcs.LGarXiv:2103.16725v22021
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li, Tongliang Liu, Bo Han +2
cs.LGarXiv:2102.02400v42021
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs +2
cs.LGphysics.chem-phstat.MLarXiv:2105.09016v42021
SDECast: Probabilistic Weather Forecasting in Continuous Time with Neural SDEs
Maria Marchenko, Martin Andrae, Fredrik Lindsten +1
stat.MLcs.LGphysics.ao-pharXiv:2610.03313v12026
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik +2
cs.CVcs.GRcs.LGarXiv:2212.07555v32022
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture
Md Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad
cs.CVcs.LGarXiv:2105.03934v12021
World Model on Million-Length Video And Language With Blockwise RingAttention
Hao Liu, Wilson Yan, Matei Zaharia +1
cs.LGarXiv:2402.08268v42024
QATFactory: A Versatile, Deployment-Aligned Framework for Quantization-aware Training and Distillation of LLMs
Weili Xu, Jisen Li, Yuqing Jian +8
cs.LGarXiv:2609.39223v22026
Building Production-Ready Probes For Gemini
János Kramár, Joshua Engels, Zheng Wang +4
cs.LGcs.AIcs.CLarXiv:2601.11516v42026
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola +6
cs.LGcs.CLarXiv:2501.19309v12025
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
Yiran Guo, Lijie Xu, Jie Liu +2
cs.LGcs.AIcs.CLarXiv:2505.23564v22025
How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond
Ahmet Alacaoglu
math.OCcs.LGarXiv:2609.08380v12026
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov, Maxwell D. Collins, Yukun Zhu +4
cs.CVcs.LGarXiv:1612.02297v22016
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Florian Grötschla, Luis Müller, Jan Tönshoff +2
cs.MAcs.LGarXiv:2507.08616v12025
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan
eess.IVcs.LGphysics.app-pharXiv:2007.00084v12020
Healthcare AI GYM for Medical Agents
Minbyul Jeong
cs.LGcs.AIarXiv:2605.02943v12026
Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent
Quang-Duy Tran, Trung Le, Bao Duong +2
cs.LGarXiv:2609.08354v12026
EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matching
Kirien Whan, Nikolaj T. Mücke, Karin van der Wiel
cs.LGphysics.ao-pharXiv:2610.09715v12026
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun +4
cs.LGcs.GTcs.NIarXiv:2009.10269v12020
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis +1
cs.LGcs.AIarXiv:2110.05357v22021
Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules
Weichi Yao, Cameron Gruich, Bryan R. Goldsmith +1
physics.chem-phcs.LGq-bio.QMarXiv:2609.08333v32026
Riemannian Diffusion Models
Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose +2
cs.LGarXiv:2208.07949v12022
Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces
Kyriakos Stylianopoulos, Mattia Fabiani, Giulia Torcolacci +2
eess.SPcs.LGarXiv:2608.27137v12026
Recursive Harness Distillation across Agents for Robot Manipulation
Seungyeon Kim, Junhoo Lee, Minkyu Kim +2
cs.ROcs.AIcs.CVarXiv:2609.33378v12026
Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment
Kooroush Farahkhah, Umut Lagap, Taha Rezaei +1
cs.CVcs.LGarXiv:2608.30633v12026
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
Miloš Košprdić, Adela Ljajić, Bojana Bašaragin +2
cs.IRcs.AIcs.CLarXiv:2402.18589v12024
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi +20
cs.CLcs.AIcs.IRarXiv:2106.08087v62021
Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui +2
cs.LGarXiv:2105.03818v32021
The limitation of neural nets for approximation and optimization
Tommaso Giovannelli, Oumaima Sohab, Luis Nunes Vicente
cs.LGmath.OCstat.MLarXiv:2311.12253v12023
Measuring the Depth of LLM Unlearning via Activation Patching
Jaeung Lee, Dohyun Kim, Jaemin Jo
cs.CLcs.AIcs.LGarXiv:2605.24614v12026
Rethinking the Role of Efficient Attention in Hybrid Architectures
Ziqing Qiao, Yinuo Xu, Chaojun Xiao +6
cs.CLcs.LGarXiv:2606.15378v12026
Relevant Walk Search for Explaining Graph Neural Networks
Ping Xiong, Thomas Schnake, Michael Gastegger +3
cs.LGarXiv:2605.23673v12026
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
Arnon Mazza, Elad Levi
cs.CLcs.AIcs.LGarXiv:2604.25203v12026
Generalized Matheron Variational Implicit Processes
Luis A. Ortega, Andrés R. Masegosa, Thomas D. Nielsen
cs.LGarXiv:2610.07938v12026
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos +5
cs.CVcs.LGstat.MLarXiv:1907.07484v22019
Blackwell Approachability and Low-Regret Learning are Equivalent
Jacob Abernethy, Peter L. Bartlett, Elad Hazan
cs.LGcs.GTarXiv:1011.1936v12010
PubMed-OCR: PMC Open Access OCR Annotations
Hunter Heidenreich, Yosheb Getachew, Olivia Dinica +1
cs.CVcs.CLcs.DLarXiv:2601.11425v12026
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun +3
physics.comp-phcs.LGarXiv:2007.00016v22020
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu, Yuexiang Zhai, Jihan Yang +6
cs.AIcs.CVcs.LGarXiv:2501.17161v22025
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis +4
cs.LGcs.AIcs.CLarXiv:2310.06452v32023
Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?
Fumihiko Tachibana, Daisuke Miyashita, Jun Deguchi
cs.LGcs.AIcs.CLarXiv:2609.09768v12026
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren +7
cs.CLcs.AIcs.LGarXiv:2504.10160v12025
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
Qi Pang, Shengyuan Hu, Wenting Zheng +1
cs.CRcs.CLcs.LGarXiv:2402.16187v32024
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su, Xizhou Zhu, Yue Cao +4
cs.CVcs.CLcs.LGarXiv:1908.08530v42019
Learning from All Vehicles
Dian Chen, Philipp Krähenbühl
cs.ROcs.CVcs.LGarXiv:2203.11934v32022
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
Yansong Ning, Jun Fang, Naiqiang Tan +1
cs.AIcs.LGarXiv:2602.04284v22026
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park, Alexei A. Efros, Richard Zhang +1
cs.CVcs.LGarXiv:2007.15651v32020
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Weipu Zhang, Gang Wang, Jian Sun +2
cs.LGarXiv:2310.09615v12023
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis
Licai Sun, Zheng Lian, Bin Liu +1
cs.LGcs.CLcs.CVarXiv:2208.07589v22022
Dynamic Evaluation of Large Language Models by Meta Probing Agents
Kaijie Zhu, Jindong Wang, Qinlin Zhao +2
cs.CLcs.AIcs.LGarXiv:2402.14865v22024
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Qingqing Huang, Daniel S. Park, Tao Wang +12
cs.SDcs.LGeess.ASarXiv:2302.03917v22023
Feature Space Adaptation for Effortless Gaussian Process Flows
Thomas Cowperthwaite, Louis Sharrock, Lachlan Astfalck +1
stat.MLcs.LGstat.MEarXiv:2610.11459v12026

Machine Learning

Evaluating Text-to-Visual Generation with Image-to-Text Generation

A Brief Introduction to Machine Learning for Engineers

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Finite Versus Infinite Neural Networks: an Empirical Study

Unified Image and Video Saliency Modeling

Distillation of Discrete Diffusion through Dimensional Correlations

Feedback Recurrent Autoencoder for Video Compression

Hierarchy-Aware Semantic Losses for Knowledge Graph Link Prediction

SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification

Provably End-to-end Label-Noise Learning without Anchor Points

E(n) Equivariant Normalizing Flows

SDECast: Probabilistic Weather Forecasting in Continuous Time with Neural SDEs

IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

World Model on Million-Length Video And Language With Blockwise RingAttention

QATFactory: A Versatile, Deployment-Aligned Framework for Quantization-aware Training and Distillation of LLMs

Building Production-Ready Probes For Gemini

Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond

Spatially Adaptive Computation Time for Residual Networks

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs

Deep neural networks for the evaluation and design of photonic devices

Healthcare AI GYM for Medical Agents

Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent

EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matching

An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules

Riemannian Diffusion Models

Over-The-Air Extreme Learning Machines with Nonlinear Stacked Intelligent Metasurfaces

Recursive Harness Distillation across Agents for Robot Manipulation

Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment

Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Heterogeneous Risk Minimization

The limitation of neural nets for approximation and optimization

Measuring the Depth of LLM Unlearning via Activation Patching

Rethinking the Role of Efficient Attention in Hybrid Architectures

Relevant Walk Search for Explaining Graph Neural Networks

BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate

Generalized Matheron Variational Implicit Processes

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Blackwell Approachability and Low-Regret Learning are Equivalent

PubMed-OCR: PMC Open Access OCR Annotations

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Understanding the Effects of RLHF on LLM Generalisation and Diversity

Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Learning from All Vehicles

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents

Contrastive Learning for Unpaired Image-to-Image Translation

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

Dynamic Evaluation of Large Language Models by Meta Probing Agents

Noise2Music: Text-conditioned Music Generation with Diffusion Models

Feature Space Adaptation for Effortless Gaussian Process Flows