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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16,741 to 16,800 of 20,217

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
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion +2
cs.CVcs.LGarXiv:2010.01028v22020
OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
Stefan Maria Ailuro, Mario Markov, Mohammad Mahdi +3
cs.CVcs.LGarXiv:2603.11804v32026
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski, Stephan Günnemann
stat.MLcs.LGcs.SIarXiv:1707.03815v42017
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
Helena Casademunt, Bartosz Cywiński, Khoi Tran +3
cs.LGcs.AIcs.CLarXiv:2603.05494v22026
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
Abbas Mammadov, So Takao, Bohan Chen +4
cs.CVcs.LGstat.MLarXiv:2603.07276v12026
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan
stat.MLcs.LGarXiv:1912.02757v22019
Learning to Optimize Via Posterior Sampling
Daniel Russo, Benjamin Van Roy
cs.LGarXiv:1301.2609v52013
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran, Bharath Ramsundar, Aneesh S. Pappu +1
cs.LGstat.MLarXiv:1611.03199v12016
NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving
Ximeng Tao, Pardis Taghavi, Dimitar Filev +2
cs.ROcs.LGarXiv:2603.07901v12026
ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Na Li, Yuchen Jiao, Changxiao Cai +1
cs.CLcs.AIcs.LGarXiv:2608.23551v12026
$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts
Yi-Kai Zhang, Yueqing Sun, Hongyan Hao +4
cs.LGcs.AIcs.CLarXiv:2603.10848v12026
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo +2
cs.CLcs.LGarXiv:2010.01057v12020
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan, Yunzhi Zhang, Pieter Abbeel +1
cs.CVcs.LGarXiv:2104.10157v22021
Asynchronous Federated Optimization
Cong Xie, Sanmi Koyejo, Indranil Gupta
cs.DCcs.LGarXiv:1903.03934v52019
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue +5
cs.LGarXiv:2106.07178v52021
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov, Chris Hesse +2
cs.LGstat.MLarXiv:1812.02341v32018
GCA: Global Centroid Alignment in Federated Learning
Jong-Ik Park, Harry Jiang, Logan Blakely +3
cs.LGcs.DCarXiv:2608.22593v12026
Video Summarization with Long Short-term Memory
Ke Zhang, Wei-Lun Chao, Fei Sha +1
cs.CVcs.LGarXiv:1605.08110v22016
Power-Performance Characterization of TinyML Systems
Yujie Zhang, Dhananjaya Wijerathne, Zhaoying Li +1
cs.LGcs.AIarXiv:2608.21646v12026
Efficient Attention: Attention with Linear Complexities
Zhuoran Shen, Mingyuan Zhang, Haiyu Zhao +2
cs.CVcs.AIcs.LGarXiv:1812.01243v102018
Using cognitive psychology to understand GPT-3
Marcel Binz, Eric Schulz
cs.CLcs.AIcs.LGarXiv:2206.14576v12022
ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
Yanpeng Zhao, Wentao Ding, Hongtao Li +2
cs.CVcs.LGcs.ROarXiv:2603.13033v12026
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov +1
cs.CVcs.LGstat.MLarXiv:1612.04642v22016
A General and Adaptive Robust Loss Function
Jonathan T. Barron
cs.CVcs.LGstat.MLarXiv:1701.03077v102017
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Feng Liang, Bichen Wu, Xiaoliang Dai +6
cs.CVcs.LGarXiv:2210.04150v32022
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
Yajie Miao, Mohammad Gowayyed, Florian Metze
cs.CLcs.LGarXiv:1507.08240v32015
FlashSampling: Fast and Memory-Efficient Exact Sampling
Tomas Ruiz, Zhen Qin, Yifan Zhang +3
cs.LGcs.AIcs.CLarXiv:2603.15854v22026
Residual Stream Duality in Modern Transformer Architectures
Yifan Zhang
cs.LGcs.AIcs.CLarXiv:2603.16039v22026
What AstroPT knows about galaxies, and what that can teach us about LLMs
UniverseTBD, :, Kshitij Duraphe +3
cs.LGastro-ph.IMarXiv:2608.22614v12026
Generalized Discrete Diffusion from Snapshots
Oussama Zekri, Théo Uscidda, Nicolas Boullé +1
stat.MLcs.AIcs.CLarXiv:2603.21342v12026

Machine Learning

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

Hard Negative Mixing for Contrastive Learning

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation

Deep Ensembles: A Loss Landscape Perspective

Learning to Optimize Via Posterior Sampling

Low Data Drug Discovery with One-shot Learning

NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving

ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings

$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

VideoGPT: Video Generation using VQ-VAE and Transformers

Asynchronous Federated Optimization

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Quantifying Generalization in Reinforcement Learning

GCA: Global Centroid Alignment in Federated Learning

Video Summarization with Long Short-term Memory

Power-Performance Characterization of TinyML Systems

Efficient Attention: Attention with Linear Complexities

Using cognitive psychology to understand GPT-3

ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models

Harmonic Networks: Deep Translation and Rotation Equivariance

A General and Adaptive Robust Loss Function

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding

FlashSampling: Fast and Memory-Efficient Exact Sampling

Residual Stream Duality in Modern Transformer Architectures

What AstroPT knows about galaxies, and what that can teach us about LLMs

Generalized Discrete Diffusion from Snapshots