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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16,801 to 16,860 of 20,308

Learning Generalizable Behaviors for Terminal Agents
Yihang Yao, Bo Pang, Xuan Phi Nguyen +3
cs.LGarXiv:2608.22631v12026
Revisiting Small Batch Training for Deep Neural Networks
Dominic Masters, Carlo Luschi
cs.LGcs.CVstat.MLarXiv:1804.07612v12018
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou, Zhiwei Liu, Li Sun +3
cs.SIcs.CRcs.LGarXiv:2008.08692v12020
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling
Kavana Venkatesh, Yinhan He, Jundong Li +1
cs.MAcs.LGarXiv:2602.06030v22026
Interpretable AI with Local Distillation
Erin Craig, Yiling Huang, Snigdha Panigrahi
stat.MEcs.LGstat.MLarXiv:2608.23538v12026
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt, Matthew D. Hoffman, David M. Blei
stat.MLcs.LGarXiv:1704.04289v22017
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
Hyeonbeom Choi, Daechul Ahn, Youhan Lee +3
cs.ROcs.AIcs.LGarXiv:2602.04208v22026
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, Varun Tolani, James Davidson +3
cs.CVcs.AIcs.LGarXiv:1702.03920v32017
When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics
Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi +1
cs.LGarXiv:2608.23161v12026
Rigging the Lottery: Making All Tickets Winners
Utku Evci, Trevor Gale, Jacob Menick +2
cs.LGcs.CVstat.MLarXiv:1911.11134v32019
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein +1
cs.CLcs.LGarXiv:2105.03824v42021
MemFly: On-the-Fly Memory Optimization via Information Bottleneck
Zhenyuan Zhang, Xianzhang Jia, Zhiqin Yang +4
cs.AIcs.LGarXiv:2602.07885v22026
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
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Pouya Bashivan, Irina Rish, Mohammed Yeasin +1
cs.LGcs.CVarXiv:1511.06448v32015
Uncovering Cross-Objective Interference in Multi-Objective Alignment
Yining Lu, Meng Jiang
cs.CLcs.LGarXiv:2602.06869v22026
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1505.01749v32015
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
David Charatan, Sizhe Li, Andrea Tagliasacchi +1
cs.CVcs.LGarXiv:2312.12337v42023
ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca +17
cs.CLcs.AIcs.CYarXiv:2302.10724v42023
DIME: Query-Efficient Framework for Membership Inference on Diffusion Models
Tue Do, Daniel Alabi
cs.LGcs.CRarXiv:2608.22824v12026
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
cs.LGcs.AIcs.CLarXiv:1505.02074v42015
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
Efficient Regression Models for Scan Statistics
Gazi Abdur Rakib, Tristan Ashton, Ryan A. Loomis +4
stat.MEcs.LGarXiv:2608.22201v12026
Three dimensional Deep Learning approach for remote sensing image classification
Amina Ben Hamida, A Benoit, Patrick Lambert +1
cs.CVcs.LGstat.MLarXiv:1806.05824v12018
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
Zelin He, Boran Han, Xiyuan Zhang +10
cs.LGcs.AIcs.CLarXiv:2602.19455v12026
Optoelectronic Reservoir Computing
Yvan Paquot, François Duport, Anteo Smerieri +4
cs.ETcs.LGcs.NEarXiv:1111.7219v12011
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti +3
cs.LGcs.AIstat.MLarXiv:2003.04960v22020
Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization
Jiachen Zhu, Lingyu Yang, Rong Shan +6
cs.AIcs.LGarXiv:2604.09574v12026
Reasoning about Entailment with Neural Attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann +2
cs.CLcs.AIcs.LGarXiv:1509.06664v42015
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite
cs.LGarXiv:2107.07075v22021
Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data: A generalization of AnalySize
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
cs.LGarXiv:2608.22681v12026
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't)
Nihal V. Nayak, Paula Rodriguez-Diaz, Neha Hulkund +2
cs.LGarXiv:2602.14696v22026
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
Hangbo Bao, Wenhui Wang, Li Dong +5
cs.CVcs.CLcs.LGarXiv:2111.02358v22021
Meta Pseudo Labels
Hieu Pham, Zihang Dai, Qizhe Xie +2
cs.LGstat.MLarXiv:2003.10580v42020
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
cs.LGstat.MLarXiv:2112.07804v22021
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic +2
stat.MLcs.LGarXiv:1806.00035v22018
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
Aryan Das, Tanishq Rachamalla, Koushik Biswas +2
cs.CVcs.LGarXiv:2602.14498v22026
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer +1
cs.LGcs.AIarXiv:2602.18292v22026
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
stat.MLcs.LGarXiv:1511.06390v22015
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
cs.CVcs.LGarXiv:1707.08819v32017
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
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS
Petro Liashchynskyi, Pavlo Liashchynskyi
cs.LGcs.NEstat.MLarXiv:1912.06059v12019
Crop Yield Prediction Using Deep Neural Networks
Saeed Khaki, Lizhi Wang
cs.LGstat.APstat.MLarXiv:1902.02860v32019
Picking Winning Tickets Before Training by Preserving Gradient Flow
Chaoqi Wang, Guodong Zhang, Roger Grosse
cs.LGcs.CVstat.MLarXiv:2002.07376v22020
Large-Scale Study of Curiosity-Driven Learning
Yuri Burda, Harri Edwards, Deepak Pathak +3
cs.LGcs.AIcs.CVarXiv:1808.04355v12018
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi, Mohammad Taha Bahadori, Le Song +2
cs.LGstat.MLarXiv:1611.07012v32016
Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns
Afshin Khadangi
cs.LGarXiv:2602.22479v62026
BenthicDINO: Physics-Informed Self-Distillation for View-Invariant Side-Scan Sonar Representations
Taqi Hamoda, Hayat Rajani, Nuno Gracias
cs.CVcs.AIcs.LGarXiv:2608.23215v12026
Whisper-RIR-Mega: A Paired Clean-Reverberant Speech Benchmark for ASR Robustness to Room Acoustics
Mandip Goswami
eess.AScs.AIcs.LGarXiv:2603.02252v32026
Operator Learning Using Weak Supervision from Walk-on-Spheres
Hrishikesh Viswanath, Hong Chul Nam, Xi Deng +3
cs.LGarXiv:2603.01193v22026
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang +3
cs.CLcs.LGarXiv:2206.01861v12022
Simple and Controllable Music Generation
Jade Copet, Felix Kreuk, Itai Gat +5
cs.SDcs.AIcs.LGarXiv:2306.05284v32023
Self-Sovereign Agent
Wenjie Qu, Xuandong Zhao, Jiaheng Zhang +1
cs.CRcs.CYcs.LGarXiv:2604.08551v12026
Distribution-Conditioned Transport
Nic Fishman, Gokul Gowri, Paolo L. B. Fischer +3
cs.LGarXiv:2603.04736v12026
TailSieve: Partial-Rollout-Guided Tail Routing for LLM Rollouts
Tianqi Xu, Lu Lv, Haoyang Huang +15
cs.AIcs.LGarXiv:2608.22788v12026
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Chenxi Wu, Min Zhu, Qinyang Tan +2
physics.comp-phcs.LGarXiv:2207.10289v12022
KARL: Knowledge Agents via Reinforcement Learning
Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal +23
cs.AIcs.LGarXiv:2603.05218v12026
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan, Zhaoran Wang, Yuchen Xie +1
cs.LGmath.OCstat.MLarXiv:1901.00137v32019
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
Morten Kolbæk, Dong Yu, Zheng-Hua Tan +1
cs.SDcs.LGeess.ASarXiv:1703.06284v22017
Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
Fabio Valerio Massoli, Andrey Kuzmin, Arash Behboodi
cs.LGarXiv:2603.08462v22026
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
cs.LGstat.MLarXiv:2004.11791v22020

Machine Learning

Learning Generalizable Behaviors for Terminal Agents

Revisiting Small Batch Training for Deep Neural Networks

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling

Interpretable AI with Local Distillation

Stochastic Gradient Descent as Approximate Bayesian Inference

SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models

Cognitive Mapping and Planning for Visual Navigation

When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics

Rigging the Lottery: Making All Tickets Winners

FNet: Mixing Tokens with Fourier Transforms

MemFly: On-the-Fly Memory Optimization via Information Bottleneck

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

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Uncovering Cross-Objective Interference in Multi-Objective Alignment

Object detection via a multi-region & semantic segmentation-aware CNN model

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

ChatGPT: Jack of all trades, master of none

DIME: Query-Efficient Framework for Membership Inference on Diffusion Models

Exploring Models and Data for Image Question Answering

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

Efficient Regression Models for Scan Statistics

Three dimensional Deep Learning approach for remote sensing image classification

SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning

Optoelectronic Reservoir Computing

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization

Reasoning about Entailment with Neural Attention

Deep Learning on a Data Diet: Finding Important Examples Early in Training

Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data: A generalization of AnalySize

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't)

VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

Meta Pseudo Labels

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Assessing Generative Models via Precision and Recall

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging

Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

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

Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS

Crop Yield Prediction Using Deep Neural Networks

Picking Winning Tickets Before Training by Preserving Gradient Flow

Large-Scale Study of Curiosity-Driven Learning

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns

BenthicDINO: Physics-Informed Self-Distillation for View-Invariant Side-Scan Sonar Representations

Whisper-RIR-Mega: A Paired Clean-Reverberant Speech Benchmark for ASR Robustness to Room Acoustics

Operator Learning Using Weak Supervision from Walk-on-Spheres

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

Simple and Controllable Music Generation

Self-Sovereign Agent

Distribution-Conditioned Transport

TailSieve: Partial-Rollout-Guided Tail Routing for LLM Rollouts

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

KARL: Knowledge Agents via Reinforcement Learning

A Theoretical Analysis of Deep Q-Learning

Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck

Federated learning with hierarchical clustering of local updates to improve training on non-IID data