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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18,661 to 18,720 of 20,219

Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel +38
cs.LGcs.CLarXiv:2110.08207v32021
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
Shuhao Zhang, Jiarui Li, Qi Cao +2
cs.CRcs.LGarXiv:2605.30837v22026
Natural Adversarial Examples
Dan Hendrycks, Kevin Zhao, Steven Basart +2
cs.LGcs.CVstat.MLarXiv:1907.07174v42019
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
Yuan Yao, Jin Song, Huixia Li +3
cs.LGarXiv:2606.00558v22026
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
Jing Sun
cs.LGcs.AIarXiv:2604.13517v42026
Confidence-Adaptive SwiGLU for Mixture-of-Experts
Shaohua Li, Xiuchao Sui, Xiaobing Sun +4
cs.LGcs.CLarXiv:2606.00761v12026
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang +1
eess.SPcs.LGarXiv:1911.08415v22019
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
cs.LGcs.AIcs.CVarXiv:2104.02395v32021
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
Liuyuan Wen, Xun Zhu, Lihao Huang +2
cs.LGcs.AIarXiv:2606.03645v12026
Functional Attention: From Pairwise Affinities to Functional Correspondences
Jiefang Xiao, Maolin Gao, Simon Weber +2
cs.LGarXiv:2605.31559v12026
Honest Lying: Understanding Memory Confabulation in Reflexive Agents
Prakhar Dixit, Sadia Kamal, Tim Oates
cs.LGcs.AIarXiv:2605.29463v22026
PaintBench: Deterministic Evaluation of Precise Visual Editing
Kai Xu, Ellis Brown, Shrikar Madhu +3
cs.GRcs.CVcs.LGarXiv:2606.00188v12026
Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu +1
cs.CVcs.LGarXiv:1904.05068v22019
Stacked Attention Networks for Image Question Answering
Zichao Yang, Xiaodong He, Jianfeng Gao +2
cs.LGcs.CLcs.CVarXiv:1511.02274v22015
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan +4
cs.LGstat.MLarXiv:1907.00235v32019
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves +2
cs.CVcs.LGcs.NEarXiv:1502.04623v22015
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, Zengfeng Huang +2
cs.LGstat.MLarXiv:2007.02133v12020
Tutorial on Variational Autoencoders
Carl Doersch
stat.MLcs.LGarXiv:1606.05908v32016
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.LGcs.AIstat.MLarXiv:1811.04551v52018
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz +3
cs.LGstat.MLarXiv:1606.04934v22016
KAN: Kolmogorov-Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya +5
cs.LGcond-mat.dis-nncs.AIarXiv:2404.19756v52024
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez
cs.CLcs.AIcs.LGarXiv:2606.00467v12026
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang +2
eess.AScs.CLcs.LGarXiv:2009.09761v32020
Deep Bayesian Active Learning with Image Data
Yarin Gal, Riashat Islam, Zoubin Ghahramani
cs.LGcs.CVstat.MLarXiv:1703.02910v12017
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +424
cs.CVcs.AIcs.LGarXiv:1811.02629v32018
Measuring the Symmetry--Data Exchange Rate
Ahmed M. Adly
stat.MEcs.LGarXiv:2606.01090v12026
Challenges in Representation Learning: A report on three machine learning contests
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25
stat.MLcs.LGarXiv:1307.0414v12013
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret, Ariel Kleiner, Hossein Mobahi +1
cs.LGstat.MLarXiv:2010.01412v32020
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets +9
cs.CVcs.AIcs.CLarXiv:1904.01201v22019
DOT-MoE: Differentiable Optimal Transport for MoEfication
Udbhav Bamba, Arnav Chavan, Aryamaan Thakur +2
cs.LGcs.AIarXiv:2606.01666v12026
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine +4
cs.CVcs.AIcs.LGarXiv:2106.12423v42021
Summaries:한국어
A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL
Lei Yang, Siyu Ding, Deyi Xiong
cs.LGcs.CLarXiv:2606.02398v12026
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell, Jaehoon Lee, Kelvin Xu +1
cs.LGcs.CLarXiv:2408.03314v12024
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1
cs.AIcs.CLcs.LGarXiv:2606.01462v12026
Gradient Surgery for Multi-Task Learning
Tianhe Yu, Saurabh Kumar, Abhishek Gupta +3
cs.LGcs.CVcs.ROarXiv:2001.06782v42020
Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
Daniel Peñaherrera, Rishal Aggarwal, David Ryan Koes
cs.LGq-bio.BMarXiv:2605.31498v32026
Free-Form Image Inpainting with Gated Convolution
Jiahui Yu, Zhe Lin, Jimei Yang +3
cs.CVcs.GRcs.LGarXiv:1806.03589v22018
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye +16
cs.AIcs.CLcs.LGarXiv:2307.16789v22023
Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher
Arda Uzunoglu, Alvin Zhang, Daniel Khashabi
cs.LGcs.CLarXiv:2606.01000v12026
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang +1
cs.SEcs.CLcs.LGarXiv:2305.01210v32023
Mixtral of Experts
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux +23
cs.LGcs.CLarXiv:2401.04088v12024
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He, Jianfeng Gao, Weizhu Chen
cs.CLcs.LGarXiv:2111.09543v42021
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11
cs.CLcs.LGcs.SDarXiv:1703.10135v22017
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao, Qian Zhang +3
cs.CVcs.LGarXiv:2401.09417v32024
Solving high-dimensional partial differential equations using deep learning
Jiequn Han, Arnulf Jentzen, Weinan E
math.NAcs.LGmath.OCarXiv:1707.02568v32017
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie +5
cs.CVcs.LGeess.IVarXiv:1911.11236v32019
Jailbroken: How Does LLM Safety Training Fail?
Alexander Wei, Nika Haghtalab, Jacob Steinhardt
cs.LGcs.CRarXiv:2307.02483v12023
Summaries:한국어
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.01838v12026
Return of Frustratingly Easy Domain Adaptation
Baochen Sun, Jiashi Feng, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1511.05547v22015
$Ψ$-Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues
Peixuan Han, Hongyi Du, Jiayu Liu +3
cs.LGarXiv:2606.02754v12026
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
Xinyu Che, Junqi Xiong, Yunfei Ge +10
cs.CLcs.AIcs.LGarXiv:2606.01993v12026
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai, Lina Yao, Can Li +2
cs.LGstat.MLarXiv:2007.02842v22020
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
Georgios Tsoumplekas, Stella Bounareli, Vasileios Argyriou
cs.CVcs.LGarXiv:2606.03792v12026
Large Language Models Hack Rewards, and Society
Wei Liu, Xinyi Mou, Hanqi Yan +2
cs.LGcs.AIcs.CLarXiv:2606.04075v22026
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren +4
cs.CVcs.LGstat.MLarXiv:1803.04189v32018
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo +1
cs.CVcs.LGarXiv:1912.01865v22019
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho, William Chan, Chitwan Saharia +8
cs.CVcs.LGarXiv:2210.02303v12022
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba +2
cs.CLcs.AIcs.CVarXiv:2305.14325v12023
Hyperparameters and Tuning Strategies for Random Forest
Philipp Probst, Marvin Wright, Anne-Laure Boulesteix
stat.MLcs.LGarXiv:1804.03515v22018

Machine Learning

Multitask Prompted Training Enables Zero-Shot Task Generalization

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

Natural Adversarial Examples

Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO

Confidence-Adaptive SwiGLU for Mixture-of-Experts

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Ensemble deep learning: A review

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models

Functional Attention: From Pairwise Affinities to Functional Correspondences

Honest Lying: Understanding Memory Confabulation in Reflexive Agents

PaintBench: Deterministic Evaluation of Precise Visual Editing

Relational Knowledge Distillation

Stacked Attention Networks for Image Question Answering

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

DRAW: A Recurrent Neural Network For Image Generation

Simple and Deep Graph Convolutional Networks

Tutorial on Variational Autoencoders

Learning Latent Dynamics for Planning from Pixels

Improving Variational Inference with Inverse Autoregressive Flow

KAN: Kolmogorov-Arnold Networks

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Deep Bayesian Active Learning with Image Data

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Measuring the Symmetry--Data Exchange Rate

Challenges in Representation Learning: A report on three machine learning contests

Sharpness-Aware Minimization for Efficiently Improving Generalization

Habitat: A Platform for Embodied AI Research

DOT-MoE: Differentiable Optimal Transport for MoEfication

Alias-Free Generative Adversarial Networks

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

Gradient Surgery for Multi-Task Learning

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators

Free-Form Image Inpainting with Gated Convolution

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Mixtral of Experts

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Tacotron: Towards End-to-End Speech Synthesis

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Solving high-dimensional partial differential equations using deep learning

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Jailbroken: How Does LLM Safety Training Fail?

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

Return of Frustratingly Easy Domain Adaptation

$Ψ$-Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting

Large Language Models Hack Rewards, and Society

Noise2Noise: Learning Image Restoration without Clean Data

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Imagen Video: High Definition Video Generation with Diffusion Models

Improving Factuality and Reasoning in Language Models through Multiagent Debate

Hyperparameters and Tuning Strategies for Random Forest