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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2,281 to 2,340 of 20,190

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
Haonan Yu, Sergey Edunov, Yuandong Tian +1
stat.MLcs.AIcs.LGarXiv:1906.02768v32019
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang +3
eess.IVcs.CVcs.LGarXiv:2111.03452v22021
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
McKane Andrus, Elena Spitzer, Jeffrey Brown +1
cs.CYcs.LGarXiv:2011.02282v22020
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang +3
cs.CLcs.LGarXiv:1912.11637v12019
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Wenyang Hu, Xiaocong Cai, Jun Hou +2
cs.CVcs.LGeess.IVarXiv:2002.01276v12020
Large Language Models can Strategically Deceive their Users when Put Under Pressure
Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
cs.CLcs.AIcs.LGarXiv:2311.07590v42023
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
Jacob Menick, Nal Kalchbrenner
cs.CVcs.GRcs.LGarXiv:1812.01608v12018
Propagation Networks for Model-Based Control Under Partial Observation
Yunzhu Li, Jiajun Wu, Jun-Yan Zhu +3
cs.AIcs.LGcs.ROarXiv:1809.11169v22018
The Effect of Natural Distribution Shift on Question Answering Models
John Miller, Karl Krauth, Benjamin Recht +1
cs.LGcs.CLstat.MLarXiv:2004.14444v12020
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey +11
cs.LGcs.AIcs.CLarXiv:2404.01413v22024
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares +3
cs.LGcs.AIarXiv:1908.01288v12019
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello +2
cs.LGstat.MLarXiv:1806.02199v72018
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva +5
cs.CLcs.AIcs.ITarXiv:2306.04723v22023
Path Integral Guided Policy Search
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya +3
cs.ROcs.LGarXiv:1610.00529v22016
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li, Dmitry Kovalev, Xun Qian +1
math.OCcs.DCcs.LGarXiv:2002.11364v22020
Agnostic System Identification for Model-Based Reinforcement Learning
Stephane Ross, J. Andrew Bagnell
cs.LGcs.AIeess.SYarXiv:1203.1007v22012
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov +1
cs.CLcs.LGarXiv:1702.02206v22017
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach, Shixiang Gu, Julian Ibarz +1
cs.LGcs.ROarXiv:1711.06782v12017
LSCP: Locally Selective Combination in Parallel Outlier Ensembles
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki +1
cs.LGcs.IRstat.MLarXiv:1812.01528v22018
Hypothesis Testing Interpretations and Renyi Differential Privacy
Borja Balle, Gilles Barthe, Marco Gaboardi +2
cs.LGstat.MLarXiv:1905.09982v22019
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu +2
cs.SEcs.LGarXiv:2107.05908v22021
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li, Yang Bai, Yong Jiang +3
cs.CRcs.AIcs.CVarXiv:2210.00875v32022
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey, Zhongjie Lu, Yi Hong
cs.CVcs.LGstat.MLarXiv:1803.07192v12018
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
cs.CLcs.AIcs.LGarXiv:1806.02901v12018
Tree Tensor Networks for Generative Modeling
Song Cheng, Lei Wang, Tao Xiang +1
stat.MLcond-mat.stat-mechcs.LGarXiv:1901.02217v12019
Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi +3
cs.LGarXiv:2104.14937v52021
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang, Waheed U. Bajwa
cs.LGcs.DCmath.OCarXiv:1708.08155v42017
ProteinNet: a standardized data set for machine learning of protein structure
Mohammed AlQuraishi
q-bio.BMcs.LGq-bio.QMarXiv:1902.00249v12019
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You +3
cs.LGcs.CVcs.ITarXiv:2105.10446v32021
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani, James Zou
stat.MLcs.CVcs.LGarXiv:2002.09815v32020
Instruction-driven history-aware policies for robotic manipulations
Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia +3
cs.ROcs.AIcs.CLarXiv:2209.04899v32022
Aligning Superhuman AI with Human Behavior: Chess as a Model System
Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1
cs.AIcs.CYcs.LGarXiv:2006.01855v32020
Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization
Andy Zeyi Liu, Haoran Sun, Lucas Baker +2
cs.LGcs.AIcs.CVarXiv:2609.10464v12026
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models
Mohammad Emtiyaz Khan, Wu Lin
cs.LGarXiv:1703.04265v22017
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
Umut Ozkaya, Saban Ozturk, Mucahid Barstugan
eess.IVcs.CVcs.LGarXiv:2004.03698v12020
TEFM: Token-Efficient Faithful Modeling for Structured Data
Zhichao Hou, Lingdao Sha, Xueyu Mao +3
cs.CLcs.LGarXiv:2609.09552v12026
On Learning the Geodesic Path for Incremental Learning
Christian Simon, Piotr Koniusz, Mehrtash Harandi
cs.LGcs.CVarXiv:2104.08572v12021
Graph Attention Multi-Layer Perceptron
Wentao Zhang, Ziqi Yin, Zeang Sheng +6
cs.LGcs.AIarXiv:2206.04355v12022
Representational Strengths and Limitations of Transformers
Clayton Sanford, Daniel Hsu, Matus Telgarsky
cs.LGstat.MLarXiv:2306.02896v22023
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
Serena E. Ponta, Henrik Plate, Antonino Sabetta +2
cs.SEcs.CRcs.LGarXiv:1902.02595v32019
SpecTr: Fast Speculative Decoding via Optimal Transport
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro +3
cs.LGcs.CLcs.DSarXiv:2310.15141v22023
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi +4
cs.LGcs.CVeess.IVarXiv:2001.04271v22020
Operator-valued Kernels for Learning from Functional Response Data
Hachem Kadri, Emmanuel Duflos, Philippe Preux +3
cs.LGstat.MLarXiv:1510.08231v32015
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li, Yuting Wei, Yuejie Chi +1
cs.LGcs.ITmath.OCarXiv:2005.12900v82020
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal, Peter Kairouz, Ziyu Liu
cs.LGcs.CRcs.DSarXiv:2110.04995v22021
X-CoSD: Communication-Efficient Cross-Vocabulary Collaborative Speculative Decoding
Jaeduk Lee, Wan Choi
cs.CLcs.DCcs.LGarXiv:2609.09166v12026
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela, Julien Siems, Frank Hutter
cs.LGcs.CVcs.NEarXiv:2001.10422v22020
IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier
Blake Stenstrom, Charangan Vasantharajan, Brian Sathianathan
cs.CLcs.AIcs.LGarXiv:2609.10494v12026
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey, Jan E. Lenssen, Frank Weichert +1
cs.LGarXiv:2106.05609v12021
One Loop, Two Gains: Can Active Learning win the Lottery for Free?
Benedikt Tscheschner, Eduardo Veas, Marc Masana
cs.LGcs.AIcs.CVarXiv:2609.10311v12026
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
cs.LGcs.AIarXiv:2304.04780v12023
Accelerated Policy Learning with Parallel Differentiable Simulation
Jie Xu, Viktor Makoviychuk, Yashraj Narang +4
cs.LGcs.AIcs.GRarXiv:2204.07137v12022
Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics
Julia Westermayr, Michael Gastegger, Philipp Marquetand
physics.chem-phcs.LGstat.MLarXiv:2002.07264v12020
Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs
Ravi Ranjan, Olivera Kotevska, Agoritsa Polyzou
cs.LGcs.AIarXiv:2609.10439v12026
Reducing Dueling Bandits to Cardinal Bandits
Nir Ailon, Thorsten Joachims, Zohar Karnin
cs.LGarXiv:1405.3396v12014
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models
Wenkai Yang, Yankai Lin, Peng Li +2
cs.CLcs.LGarXiv:2110.07831v12021
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle Helfrich, Devin Willmott, Qiang Ye
stat.MLcs.LGarXiv:1707.09520v32017
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyuan Ma, Kai Wang +3
cs.CVcs.LGarXiv:2303.06628v22023
A Survey of Deep Learning for Scientific Discovery
Maithra Raghu, Eric Schmidt
cs.LGstat.MLarXiv:2003.11755v12020
OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis
Ayush Debnath, Ruelia Saha, Sudip Misra
cs.LGcs.AIarXiv:2609.10364v12026

Machine Learning

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition

Large Language Models can Strategically Deceive their Users when Put Under Pressure

Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling

Propagation Networks for Model-Based Control Under Partial Observation

The Effect of Natural Distribution Shift on Question Answering Models

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Path Integral Guided Policy Search

Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

Agnostic System Identification for Model-Based Reinforcement Learning

Semi-Supervised QA with Generative Domain-Adaptive Nets

Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

LSCP: Locally Selective Combination in Parallel Outlier Ensembles

Hypothesis Testing Interpretations and Renyi Differential Privacy

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection

Diagnostic Classification Of Lung Nodules Using 3D Neural Networks

Probabilistic FastText for Multi-Sense Word Embeddings

Tree Tensor Networks for Generative Modeling

Federated Learning with Fair Averaging

ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning

ProteinNet: a standardized data set for machine learning of protein structure

ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction

Neuron Shapley: Discovering the Responsible Neurons

Instruction-driven history-aware policies for robotic manipulations

Aligning Superhuman AI with Human Behavior: Chess as a Model System

Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization

Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models

Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique

TEFM: Token-Efficient Faithful Modeling for Structured Data

On Learning the Geodesic Path for Incremental Learning

Graph Attention Multi-Layer Perceptron

Representational Strengths and Limitations of Transformers

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

SpecTr: Fast Speculative Decoding via Optimal Transport

Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Operator-valued Kernels for Learning from Functional Response Data

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

The Skellam Mechanism for Differentially Private Federated Learning

X-CoSD: Communication-Efficient Cross-Vocabulary Collaborative Speculative Decoding

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

One Loop, Two Gains: Can Active Learning win the Lottery for Free?

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Accelerated Policy Learning with Parallel Differentiable Simulation

Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics

Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs

Reducing Dueling Bandits to Cardinal Bandits

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

A Survey of Deep Learning for Scientific Discovery

OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis