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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13,621 to 13,680 of 20,199
Certified Adversarial Robustness with Additive Noise
Bai Li, Changyou Chen, Wenlin Wang +1
cs.LGcs.CRstat.MLarXiv:1809.03113v62018Critic Regularized Regression
Ziyu Wang, Alexander Novikov, Konrad Zolna +8
cs.LGcs.AIstat.MLarXiv:2006.15134v32020Topology Adaptive Graph Convolutional Networks
Jian Du, Shanghang Zhang, Guanhang Wu +2
cs.LGstat.MLarXiv:1710.10370v52017Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Zequn Sun, Chengming Wang, Wei Hu +4
cs.CLcs.AIcs.LGarXiv:1911.08936v12019MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang, Fei Wang
stat.MLcs.LGphysics.chem-pharXiv:2006.10137v12020DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou, Zhiqi Huang, Lifeng Shang +3
cs.CLcs.LGarXiv:2004.04037v22020From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors
Firas Bayram, Bestoun S. Ahmed, Andreas Kassler
cs.LGcs.AIarXiv:2203.11070v12022Unsolved Problems in ML Safety
Dan Hendrycks, Nicholas Carlini, John Schulman +1
cs.LGcs.AIcs.CLarXiv:2109.13916v52021Summaries:한국어PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Zhen Li, Mingdeng Cao, Xintao Wang +3
cs.CVcs.AIcs.LGarXiv:2312.04461v12023The Emerging Trends of Multi-Label Learning
Weiwei Liu, Haobo Wang, Xiaobo Shen +1
cs.LGarXiv:2011.11197v32020Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi, Samuel Stanton, Pavel Izmailov +1
stat.MLcs.LGarXiv:2002.12880v32020When Is Noise Response Universal? Tokenization as the Hidden Variable in Language Models
Yefan Tao, Gerald Friedland, Luyang Kong
cs.CLcs.LGarXiv:2608.26319v12026Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robots
Rana Danesh, Pari Qarehdaghi, Farrokh Janabi-Sharifi
cs.ROcs.LGarXiv:2608.26273v12026FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh, Shruti Tople, Fabrice Benhamouda +3
cs.CRcs.LGarXiv:2004.02229v22020Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark
Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain +3
hep-phcs.LGhep-exarXiv:2608.26224v12026Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Nasser Mohammadiha, Paris Smaragdis, Arne Leijon
cs.SDcs.LGarXiv:1709.05362v12017Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar
cs.LGcs.AIstat.MLarXiv:1906.02717v32019Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
Zezhi Shao, Zhao Zhang, Wei Wei +4
cs.LGarXiv:2206.09112v42022Beyond Capability Benchmarks: Learning Operational Fingerprints of LLM Cloud Services from Production Incident Metadata
Meiwei Zhang, Eduardo Miranda, Bruce Baynes +4
cs.LGarXiv:2608.26332v12026Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
Adam Polyak, Yossi Adi, Jade Copet +5
cs.SDcs.LGeess.ASarXiv:2104.00355v32021mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs
Arindam Sengupta, Feng Jin, Renyuan Zhang +1
eess.SPcs.LGstat.MLarXiv:1911.09592v12019StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny
cs.CVcs.AIcs.LGarXiv:2112.14683v42021Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme, George Tucker, Jasper Snoek
stat.MLcs.LGarXiv:1802.09127v12018Graph Wavelet Neural Network
Bingbing Xu, Huawei Shen, Qi Cao +2
cs.LGstat.MLarXiv:1904.07785v12019A Stable Multi-Scale Kernel for Topological Machine Learning
Jan Reininghaus, Stefan Huber, Ulrich Bauer +1
stat.MLcs.CVcs.LGarXiv:1412.6821v12014Improving Deep Learning using Generic Data Augmentation
Luke Taylor, Geoff Nitschke
cs.LGstat.MLarXiv:1708.06020v12017Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
Boris Hanin
stat.MLcs.CGcs.LGarXiv:1708.02691v32017Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inference
Yannic Pietschke, Caroline Heneka, Ayodele Ore +1
astro-ph.COastro-ph.IMcs.LGarXiv:2608.26354v12026Toward Equitable Low-Carbon Mobility: Fairness-Aware Demand Prediction for Expanding Bike-Sharing Systems
Man Luo, Yixuan Zhao
cs.LGarXiv:2608.26451v12026Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
cs.LGstat.MLarXiv:1903.11680v32019Rank consistent ordinal regression for neural networks with application to age estimation
Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka
cs.LGstat.MLarXiv:1901.07884v72019Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed, Maziar Sanjabi, Tianjian Huang +2
math.OCcs.LGstat.MLarXiv:1902.08297v32019Shake-Shake regularization
Xavier Gastaldi
cs.LGcs.CVarXiv:1705.07485v22017GECToR -- Grammatical Error Correction: Tag, Not Rewrite
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub +1
cs.CLcs.LGarXiv:2005.12592v22020Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Xavier Soria, Edgar Riba, Angel D. Sappa
cs.CVcs.LGarXiv:1909.01955v22019A Survey on Hallucination in Large Vision-Language Models
Hanchao Liu, Wenyuan Xue, Yifei Chen +6
cs.CVcs.CLcs.LGarXiv:2402.00253v22024From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving
Dipankar Sarkar
cs.AIcs.CLcs.LGarXiv:2608.14771v12026Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language Models
Mohammad Mahdi Abootorabi, Omid Ghahroodi, Anas Madkoor +4
cs.CVcs.AIcs.CLarXiv:2606.05531v12026Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li +2
cs.CVcs.AIcs.GRarXiv:2605.26111v12026Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu +1
cs.CVcs.LGarXiv:1812.04960v22018Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
cs.NEcs.LGarXiv:1606.08165v22016Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
Zirui Tang, Xuanhe Zhou, Yumou Liu +19
cs.AIcs.CLcs.DBarXiv:2605.03596v42026Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow +6
cs.CLcs.AIcs.CYarXiv:2309.00770v32023Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh +3
cs.CLcs.LGarXiv:2305.03514v32023Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
Pengchuan Zhang, Xiyang Dai, Jianwei Yang +4
cs.CVcs.AIcs.LGarXiv:2103.15358v22021Are aligned neural networks adversarially aligned?
Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo +8
cs.CLcs.AIcs.CRarXiv:2306.15447v22023WebGPT: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji +15
cs.CLcs.AIcs.LGarXiv:2112.09332v32021Open Source Software for Efficient and Transparent Reviews
Rens van de Schoot, Jonathan de Bruin, Raoul Schram +14
cs.IRcs.LGarXiv:2006.12166v32020Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
cs.LGcs.AIcs.DSarXiv:1904.07272v82019Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner, Stephen H. Bach, Henry Ehrenberg +3
cs.LGstat.MLarXiv:1711.10160v12017Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan +2
cs.CRcs.LGcs.NEarXiv:1606.04435v22016Visualizing Large-scale and High-dimensional Data
Jian Tang, Jingzhou Liu, Ming Zhang +1
cs.LGcs.HCarXiv:1602.00370v22016LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang +3
cs.LGarXiv:1503.03578v12015Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin, Victor Lempitsky
stat.MLcs.LGcs.NEarXiv:1409.7495v22014Collaborative Deep Learning for Recommender Systems
Hao Wang, Naiyan Wang, Dit-Yan Yeung
cs.LGcs.CLcs.IRarXiv:1409.2944v22014Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li, Ziyang Tang +1
cs.LGcs.AIeess.SYarXiv:1810.12429v12018NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration
Ajay Sridhar, Dhruv Shah, Catherine Glossop +1
cs.ROcs.CVcs.LGarXiv:2310.07896v12023MLPerf Training Benchmark
Peter Mattson, Christine Cheng, Cody Coleman +34
cs.LGcs.PFstat.MLarXiv:1910.01500v32019GRAND: Graph Neural Diffusion
Benjamin Paul Chamberlain, James Rowbottom, Maria Gorinova +3
cs.LGstat.MLarXiv:2106.10934v22021FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu, Xu Chen, Zhi Zhou +1
cs.NIcs.AIcs.DCarXiv:2012.07450v12020