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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8,521 to 8,580 of 20,205

Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories
Nabira Rashid, Manolis Kellis
cs.LGcs.AIcs.IRarXiv:2609.01556v12026
World Model on Million-Length Video And Language With Blockwise RingAttention
Hao Liu, Wilson Yan, Matei Zaharia +1
cs.LGarXiv:2402.08268v42024
Gradient Boosted Feature Selection
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger +1
cs.LGstat.MLarXiv:1901.04055v12019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma, Fu-Ming Guo, Wei Niu +5
cs.LGcs.CVcs.DCarXiv:1909.05073v42019
Prototype-guided transfer of sparse literature knowledge for electrolyte additive discovery
Weixiang Hong, Hongting Du, Jiayue Tang +4
physics.chem-phcs.LGarXiv:2609.02209v12026
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
Kaiwen Zheng, Yongxin Chen, Hanzi Mao +3
cs.LGcs.AIcs.CLarXiv:2409.02908v62024
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu +3
cs.LGcs.AIcs.CVarXiv:1907.03141v22019
Learning to Generate Images with Perceptual Similarity Metrics
Jake Snell, Karl Ridgeway, Renjie Liao +3
cs.LGcs.CVarXiv:1511.06409v32015
CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation
Varun Gadey, Ziad Marey, Alexandra Dmitrienko
cs.CRcs.LGarXiv:2609.02774v12026
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu Sun, Qihao Zhu, Yingfei Xiong +3
cs.LGcs.SEarXiv:1911.09983v22019
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Pablo Montero-Manso, Rob J Hyndman
cs.LGstat.MLarXiv:2008.00444v32020
GenCAR: Generative Counterfactual Alignment with Risk-Controlled Selection for Out-of-Distribution Recommendation
Qianqian Wang, Yunshan Li, Jiawen Zeng +2
cs.IRcs.LGarXiv:2609.02162v12026
UE5M3 FP4 Block Scaling for Stable Language Model Pretraining
Robert Hu, Carlo Luschi, Paul Balanca
cs.LGarXiv:2609.02846v12026
Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He +3
cs.IRcs.LGstat.MLarXiv:1809.05822v12018
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg +1
cs.LGcs.AIcs.CLarXiv:2407.18219v22024
GRADSOLVE: fast exact gradients for ODE ensembles on GPUs
Alessio Spurio Mancini
cs.MScs.DCcs.LGarXiv:2609.02876v12026
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla +1
cs.LGstat.MLarXiv:1712.00961v52017
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
Ziqi Ke, Haris Vikalo
eess.SPcs.LGarXiv:2011.08295v12020
The Early Phase of Neural Network Training
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.NEstat.MLarXiv:2002.10365v12020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Masatoshi Uehara, Jiawei Huang, Nan Jiang
cs.LGstat.MLarXiv:1910.12809v42019
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Yizhu Jiao, Yun Xiong, Jiawei Zhang +3
cs.LGstat.MLarXiv:2009.10273v32020
Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Andreas Vogelsang, Markus Borg
cs.LGcs.SEarXiv:1908.04674v12019
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort +4
cs.LGstat.MLarXiv:2002.09572v12020
TaRA: Training-Aware Low-Rank Adaptation Initialization
Taehyeon Kim, Eunhyeok Park
cs.CLcs.AIcs.LGarXiv:2609.02639v12026
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing, Chanyoung Park, Hanghang Tong
cs.LGcs.ITcs.SIarXiv:2102.07810v52021
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo +3
cs.CVcs.AIcs.LGarXiv:2403.00425v22024
Sampling Can Be Faster Than Optimization
Yi-An Ma, Yuansi Chen, Chi Jin +2
stat.MLcs.LGarXiv:1811.08413v22018
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu, Tingyang Xu, Yu Rong +3
cs.LGstat.MLarXiv:2010.05563v12020
Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers
Giovanni Bonetta, Matteo Merler, Davide Zago +2
cs.AIcs.CLcs.LGarXiv:2609.01567v22026
Towards Understanding Sharpness-Aware Minimization
Maksym Andriushchenko, Nicolas Flammarion
cs.LGarXiv:2206.06232v12022
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Kimmo Kärkkäinen, Jungseock Joo
cs.CVcs.LGarXiv:1908.04913v12019
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Peter Stone, Rodney Brooks, Erik Brynjolfsson +14
cs.CYcs.AIcs.LGarXiv:2211.06318v12022
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski, Hao Zhang, Zile Li +4
cs.IRcs.AIcs.CLarXiv:1809.01479v52018
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
Lei Tai, Jingwei Zhang, Ming Liu +1
cs.ROcs.AIcs.LGarXiv:1710.02543v22017
A CHAID Based Performance Prediction Model in Educational Data Mining
M. Ramaswami, R. Bhaskaran
cs.LGarXiv:1002.1144v12010
Ultimate tensorization: compressing convolutional and FC layers alike
Timur Garipov, Dmitry Podoprikhin, Alexander Novikov +1
cs.LGarXiv:1611.03214v12016
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
Amanpreet Singh, Mike D'Arcy, Arman Cohan +2
cs.CLcs.AIcs.IRarXiv:2211.13308v42022
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst, David Sontag
cs.LGstat.MLarXiv:1905.05824v32019
Entropy and mutual information in models of deep neural networks
Marylou Gabrié, Andre Manoel, Clément Luneau +4
cs.LGcond-mat.dis-nncs.ITarXiv:1805.09785v22018
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Zhiqiang Shen, Zechun Liu, Jie Qin +2
cs.CVcs.AIcs.LGarXiv:2102.03983v12021
Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
Zhiliang Chen, Sebastian Ament, David Eriksson +4
cs.LGcs.AIarXiv:2609.01431v22026
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
Rachad Atat, Lingjia Liu, Jinsong Wu +3
cs.LGstat.MLarXiv:1810.12399v12018
Deep Learning for Human Affect Recognition: Insights and New Developments
Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong
cs.LGcs.AIcs.CVarXiv:1901.02884v12019
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu +2
cs.AIcs.CLcs.CVarXiv:2212.10535v22022
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro +1
stat.MLcs.CVcs.LGarXiv:1706.08606v22017
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
Loss Aware Post-training Quantization
Yury Nahshan, Brian Chmiel, Chaim Baskin +4
cs.LGcs.CVarXiv:1911.07190v22019
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
cs.CLcs.LGarXiv:1808.10122v32018
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou, Changxing Ding, Xinchao Wang +2
cs.CVcs.AIcs.LGarXiv:1906.01796v22019
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu, Garima Lalwani, Spandana Gella +1
cs.CLcs.LGarXiv:2007.06778v32020
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee +3
cs.CLcs.AIcs.LGarXiv:2112.12938v22021
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma, Piyush Rai
cs.LGcs.CVstat.MLarXiv:1707.08040v32017
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6
cs.CVcs.AIcs.CLarXiv:1904.03461v12019
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta +5
cs.LGcs.ROstat.MLarXiv:2004.12570v12020
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Zheng Lin, Guanqiao Qu, Qiyuan Chen +3
cs.LGcs.AIarXiv:2309.16739v42023
Efficient Guided Generation for Large Language Models
Brandon T. Willard, Rémi Louf
cs.CLcs.LGarXiv:2307.09702v42023
Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models
Kunlin Cai, Kaiyuan Zhang, Zihang Xiang +4
cs.CRcs.LGcs.SDarXiv:2609.01723v12026
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
cs.LGcs.MAarXiv:2110.14300v52021
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng, Shixun Zhang, Jiaqi Wang +1
cs.LGcs.GTstat.MLarXiv:2002.09699v12020

Machine Learning

Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories

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

Gradient Boosted Feature Selection

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

Prototype-guided transfer of sparse literature knowledge for electrolyte additive discovery

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Learning to Generate Images with Perceptual Similarity Metrics

CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation

TreeGen: A Tree-Based Transformer Architecture for Code Generation

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality

GenCAR: Generative Counterfactual Alignment with Risk-Controlled Selection for Out-of-Distribution Recommendation

UE5M3 FP4 Block Scaling for Stable Language Model Pretraining

Aesthetic-based Clothing Recommendation

Recursive Introspection: Teaching Language Model Agents How to Self-Improve

GRADSOLVE: fast exact gradients for ODE ensembles on GPUs

Learning Independent Causal Mechanisms

Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder

The Early Phase of Neural Network Training

Minimax Weight and Q-Function Learning for Off-Policy Evaluation

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

Requirements Engineering for Machine Learning: Perspectives from Data Scientists

The Break-Even Point on Optimization Trajectories of Deep Neural Networks

TaRA: Training-Aware Low-Rank Adaptation Initialization

HDMI: High-order Deep Multiplex Infomax

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Sampling Can Be Faster Than Optimization

Graph Information Bottleneck for Subgraph Recognition

Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers

Towards Understanding Sharpness-Aware Minimization

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

A CHAID Based Performance Prediction Model in Educational Data Mining

Ultimate tensorization: compressing convolutional and FC layers alike

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models

Entropy and mutual information in models of deep neural networks

Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

Deep Learning for Human Affect Recognition: Insights and New Developments

A Survey of Deep Learning for Mathematical Reasoning

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

Could a Large Language Model be Conscious?

Loss Aware Post-training Quantization

Learning Neural Templates for Text Generation

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Counterfactual Memorization in Neural Language Models

A Simple Exponential Family Framework for Zero-Shot Learning

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

The Ingredients of Real-World Robotic Reinforcement Learning

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Efficient Guided Generation for Large Language Models

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Don't forget, there is more than forgetting: new metrics for Continual Learning

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC