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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15,001 to 15,060 of 20,199

Dense Associative Memory for Pattern Recognition
Dmitry Krotov, John J Hopfield
cs.NEcond-mat.dis-nncs.LGarXiv:1606.01164v22016
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
cs.CVcs.LGarXiv:2207.14626v22022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio, Moksh Jain, Maksym Korablyov +2
cs.LGarXiv:2106.04399v22021
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger, William A. P. Smith, Ayush Tewari +10
cs.CVcs.GRcs.LGarXiv:1909.01815v22019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT, Takanori Maehara
stat.MLcs.ITcs.LGarXiv:1905.09550v22019
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Chen Fang +2
cs.CVcs.LGarXiv:1612.00835v22016
A System for Massively Parallel Hyperparameter Tuning
Liam Li, Kevin Jamieson, Afshin Rostamizadeh +4
cs.LGstat.MLarXiv:1810.05934v52018
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach, Anton Raichuk, Piotr Stańczyk +8
cs.LGstat.MLarXiv:1907.11180v22019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
cs.CLcs.CVcs.LGarXiv:1909.03683v12019
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
Sebastian Caldas, Jakub Konečny, H. Brendan McMahan +1
cs.LGcs.DCstat.MLarXiv:1812.07210v22018
To Trust Or Not To Trust A Classifier
Heinrich Jiang, Been Kim, Melody Y. Guan +1
stat.MLcs.LGarXiv:1805.11783v22018
Label-Consistent Backdoor Attacks
Alexander Turner, Dimitris Tsipras, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1912.02771v22019
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li, Chenxin Xiong, Ali Thabet +1
cs.LGcs.CVstat.MLarXiv:2006.07739v12020
GeDi: Generative Discriminator Guided Sequence Generation
Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann +4
cs.CLcs.LGarXiv:2009.06367v22020
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter +1
cs.LGstat.MLarXiv:2004.13701v12020
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang, Yanda Meng, Yitian Zhao +4
cs.CVcs.AIcs.LGarXiv:2203.12081v12022
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder +2
cs.ROcs.AIcs.LGarXiv:1710.06542v12017
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao, Junhua Mao, Jie Zhou +3
cs.CVcs.CLcs.LGarXiv:1505.05612v32015
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit +2
cs.CLcs.AIcs.LGarXiv:2304.05335v12023
Language Models can Solve Computer Tasks
Geunwoo Kim, Pierre Baldi, Stephen McAleer
cs.CLcs.AIcs.HCarXiv:2303.17491v32023
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai, Ruiwen Li, Jihwan Jeong +3
cs.LGcs.CVarXiv:2101.10423v42021
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert, Massimiliano Pontil +1
cs.LGstat.MLarXiv:1903.11960v42019
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
cs.LGcs.CVarXiv:2208.11970v12022
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo +4
cs.CLcs.LGarXiv:2310.06839v22023
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks
Ron Levie, Çağkan Yapar, Gitta Kutyniok +1
eess.SPcs.ITcs.LGarXiv:1911.09002v32019
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada +2
cs.LGcs.AIcs.PFarXiv:2111.15366v12021
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez +5
cs.LGcs.CRcs.DCarXiv:2211.08413v52022
Revelation Control
Qinyou Wang
cs.LGcs.AIstat.MLarXiv:2608.23860v12026
Summaries:한국어
FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference
Gongwei Lee, Ji Liu, Juncheng Jia +1
cs.LGcs.AIcs.DCarXiv:2608.24945v12026
Summaries:한국어
Dimensionless Controls of Plasticity Under Alternating Tasks: From Evolutionary Biology to Continual Learning
Owen Skriloff
math.OCcs.LGarXiv:2608.23889v12026
Summaries:한국어
Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN
Eliuvish Han Cui
stat.APcs.AIcs.LGarXiv:2608.22223v12026
AQLoRA: A Zero-Search Recipe for Fast Quantized LoRA Fine-Tuning
Md Romyull Islam
cs.LGarXiv:2608.23816v12026
PuzzleKV: Page-Wise Low-Rank Decomposition for KV Cache Compression
Zizhong Wang, Jieying Wang, Zhao Zhang +1
cs.LGarXiv:2608.23843v12026
KellyBoost: Growth-Optimal Portfolio Construction with Gradient-Boosted Trees
Jiayu Li
q-fin.PMcs.LGarXiv:2608.23393v12026
Stochastic Separability of Embedding Manifolds
Liqing Zhang
cs.LGcs.CVarXiv:2608.22874v12026
Rollout-Decoded Reconstruction for Long-Horizon Prediction in Latent World Models
Rishi Shah, Rishav Shrestha
cs.LGarXiv:2608.25017v12026
Why Does Robustness Reduce Superposition?
Adam Elimadi
cs.LGcs.AIarXiv:2608.22155v12026
ExFold: Unified Expert Folding for Training-Free MoE Prefill-Decode Acceleration
Juntong Wu, Yifei Liu, Junyi Chen +6
cs.LGcs.AIarXiv:2608.24938v12026
When Does Frequency Decomposition Benefit Physics-Informed Neural Networks? A Preliminary Ablation Study
Shubham Rai
cs.LGcs.AIarXiv:2608.24940v12026
Response Renormalization for Critical Deep Equilibrium Models
Jose Luis Lima de Jesus Silva
cs.LGcs.NEarXiv:2608.23725v12026
Learning to Grade Efficiently: A Bandit-Driven Prompt-Selection Framework for Low-Cost LLM Essay Scoring
Olga Manakina, Igor Bogdanov
cs.LGcs.AIcs.CLarXiv:2608.23814v12026
Discovering Cross-Language Reasoning Invariance in LLMs with Geometry-Invariant Sparse Autoencoders
Igor Bogdanov, Changcheng Huang
cs.LGcs.AIcs.CLarXiv:2608.23809v12026
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
Joshua Penman
cs.AIcs.CLcs.CRarXiv:2608.23873v12026
Partial-Moment PINNs for Caldeira--Leggett Parameter Learning in Quantum Brownian Motion
Krishna Bhatia
quant-phcs.LGarXiv:2608.23093v12026
A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction
Yuexin Ma, Jingqi Hou, Yuxuan Kang +1
cs.LGarXiv:2608.23276v12026
When a neural surrogate cannot accelerate a solver: runtime share, closed-loop drift, and the economics of uncertainty gating in a stiff coupled simulation
L. Thümmler, T. Kuroda
astro-ph.IMastro-ph.HEcs.LGarXiv:2608.23075v12026
ReCoG: Reciprocal Co-Evolution for Multimodal Graph Learning
Rui Xue, Tianfu Wu
cs.LGarXiv:2608.22786v12026
Minimax Alternating Regret for the Experts Problem and Online Convex Optimization
Mengxiao Zhang
stat.MLcs.LGarXiv:2608.25182v12026
Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling
Wujun Lv, Xiaoyu Wang, Yingli Wang +1
stat.MLcs.LGmath.AParXiv:2608.25052v12026
HCC+: Hyperbolic Guarding for Certified Attention Retrieval
Liangchen Ge
cs.DScs.LGarXiv:2608.24971v12026
Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching
Jiarui Cao
cs.LGcs.AIarXiv:2608.25138v12026
Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions
Yiheng Feng
stat.MLcs.LGstat.MEarXiv:2608.24964v12026
Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees
Caixing Wang, Zhibo Chen, Yue Wang
stat.MLcs.LGarXiv:2608.25513v12026
Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
Peng Liu, Huibing Zeng, Yiqun Zhang +2
cs.LGcs.AIcs.ETarXiv:2608.24973v12026
Trust the Mass: Forced Weights in KV-Cache Eviction
Jack Shi, Jerry Gu
cs.LGcs.CLarXiv:2608.25230v12026
When Does Self-Supervised Pretraining Help Tabular Models? A Study of Label Scarcity and Missing Data
Sahand Mazrouei
cs.LGarXiv:2608.24381v12026
The Sharp Tail of Uniform Stability
Pahan Dewasurendra
cs.LGarXiv:2608.24098v12026
BVR Sim: An Open and High-Throughput Environment for Heterogeneous Air-Combat Reinforcement Learning
Haocheng Sun, Mulai Tan
cs.MAcs.LGarXiv:2608.25419v12026
Reflection Steering: Disentangling Reflection from Reasoning in Activation Space for Token-Efficient Inference
Jiarui Hu, Zhiyuan Wen, Xiaoyun Liu +2
cs.LGcs.CLarXiv:2608.25542v12026
ShuttleArena: Interpretable Self-Play in Physics-Based Badminton
Peize Ding
cs.LGarXiv:2608.25246v12026

Machine Learning

Dense Associative Memory for Pattern Recognition

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

3D Morphable Face Models -- Past, Present and Future

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Scribbler: Controlling Deep Image Synthesis with Sketch and Color

A System for Massively Parallel Hyperparameter Tuning

Google Research Football: A Novel Reinforcement Learning Environment

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

To Trust Or Not To Trust A Classifier

Label-Consistent Backdoor Attacks

DeeperGCN: All You Need to Train Deeper GCNs

GeDi: Generative Discriminator Guided Sequence Generation

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Asymmetric Actor Critic for Image-Based Robot Learning

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering

Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

Language Models can Solve Computer Tasks

Online Continual Learning in Image Classification: An Empirical Survey

Learning Discrete Structures for Graph Neural Networks

Understanding Diffusion Models: A Unified Perspective

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks

AI and the Everything in the Whole Wide World Benchmark

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Revelation Control

FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference

Dimensionless Controls of Plasticity Under Alternating Tasks: From Evolutionary Biology to Continual Learning

Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN

AQLoRA: A Zero-Search Recipe for Fast Quantized LoRA Fine-Tuning

PuzzleKV: Page-Wise Low-Rank Decomposition for KV Cache Compression

KellyBoost: Growth-Optimal Portfolio Construction with Gradient-Boosted Trees

Stochastic Separability of Embedding Manifolds

Rollout-Decoded Reconstruction for Long-Horizon Prediction in Latent World Models

Why Does Robustness Reduce Superposition?

ExFold: Unified Expert Folding for Training-Free MoE Prefill-Decode Acceleration

When Does Frequency Decomposition Benefit Physics-Informed Neural Networks? A Preliminary Ablation Study

Response Renormalization for Critical Deep Equilibrium Models

Learning to Grade Efficiently: A Bandit-Driven Prompt-Selection Framework for Low-Cost LLM Essay Scoring

Discovering Cross-Language Reasoning Invariance in LLMs with Geometry-Invariant Sparse Autoencoders

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

Partial-Moment PINNs for Caldeira--Leggett Parameter Learning in Quantum Brownian Motion

A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction

When a neural surrogate cannot accelerate a solver: runtime share, closed-loop drift, and the economics of uncertainty gating in a stiff coupled simulation

ReCoG: Reciprocal Co-Evolution for Multimodal Graph Learning

Minimax Alternating Regret for the Experts Problem and Online Convex Optimization

Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling

HCC+: Hyperbolic Guarding for Certified Attention Retrieval

Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching

Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions

Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees

Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation

Trust the Mass: Forced Weights in KV-Cache Eviction

When Does Self-Supervised Pretraining Help Tabular Models? A Study of Label Scarcity and Missing Data

The Sharp Tail of Uniform Stability

BVR Sim: An Open and High-Throughput Environment for Heterogeneous Air-Combat Reinforcement Learning

Reflection Steering: Disentangling Reflection from Reasoning in Activation Space for Token-Efficient Inference

ShuttleArena: Interpretable Self-Play in Physics-Based Badminton