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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31,921 to 31,980 of 32,946
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu, Wenhan Lu, Zebo Li +2
cs.CVcs.LGeess.IVarXiv:1910.06444v12019A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Aryan Jadon, Avinash Patil, Shruti Jadon
cs.LGcs.AIarXiv:2211.02989v12022A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner, Phil Blunsom
cs.CLcs.AIcs.LGarXiv:2003.07278v22020A Deep Framework for Cross-Domain and Cross-System Recommendations
Feng Zhu, Yan Wang, Chaochao Chen +3
cs.LGcs.AIarXiv:2009.06215v12020Pythia: AI-assisted Code Completion System
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu +1
cs.SEcs.LGarXiv:1912.00742v12019Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal +2
cs.CVcs.LGarXiv:1904.01324v22019RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications
Ole Schumann, Markus Hahn, Nicolas Scheiner +4
cs.LGarXiv:2104.02493v22021N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy +1
cs.LGstat.MLarXiv:1709.06030v22017ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han, Renrui Zhang, Wenqi Shao +14
cs.MMcs.CLcs.CVarXiv:2309.03905v22023Population Health-Based Machine Learning Reveals Associations Between Psychosocial Factors and Chronic Kidney Disease
Md. Atik Shams, David Eisenberg, Sumaiya Fatema +12
cs.LGarXiv:2608.17174v12026Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference
Pol G. Recasens, Ferran Agullo, Yue Zhu +5
cs.DCcs.LGarXiv:2503.08311v22025Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation
Xian Sun, Wei Gao, Yingshuo Wang +9
cs.LGarXiv:2606.15127v22026Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu +1
cs.SDcs.CVcs.LGarXiv:2306.17203v12023Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
Simone Palazzo, Concetto Spampinato, Isaak Kavasidis +3
cs.CVcs.LGq-bio.NCarXiv:1810.10974v22018Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem, Lisa Adams, Christoph Erxleben +3
cs.LGcs.CVeess.IVarXiv:2002.08991v12020FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks
Getnet Demil, Muhammad Farhan Humayun, Tomi Westerlund +2
cs.CVcs.LGarXiv:2608.29384v12026Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge
Kai Geissler, Raphael Schäfer
cs.CVcs.AIcs.LGarXiv:2608.29162v12026LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
Lukas Helff, Quentin Delfosse, David Steinmann +6
cs.LGcs.AIarXiv:2604.15149v12026FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez +2
cs.CVcs.LGeess.IVarXiv:1904.01740v22019Deep Reinforcement Learning for Autonomous Driving
Sen Wang, Daoyuan Jia, Xinshuo Weng
cs.CVcs.LGcs.ROarXiv:1811.11329v32018Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le, Oisín Boydell, Brian Mac Namee +1
cs.CRcs.AIcs.LGarXiv:1807.08265v12018A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
Zhengyang Li, Qijin Ji, Xinghong Ling +1
cs.LGarXiv:2509.03682v12025OCTID: Optical Coherence Tomography Image Database
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy +1
cs.CVcs.LGarXiv:1812.07056v22018UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
cs.ROcs.AIcs.CVarXiv:2501.05014v22025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
cs.ROcs.AIcs.CVarXiv:2503.03262v32025An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection
Basil Sajid Shaikh, Melrick Mascarenhas, Nuzhat Faiz Shaikh
cs.AIcs.LGarXiv:2608.29973v12026EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration
Ram Kulathumani, Regunathan Radhakrishnan, Anupam Tripathi +5
cs.AIcs.LGarXiv:2608.29971v12026End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1612.04340v12016Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4
q-bio.QMcs.LGarXiv:2012.05043v12020Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
cs.SIcs.LGarXiv:1902.08329v12019Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research
Axel Boldt
math.HOcs.LGarXiv:2608.29401v12026Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
Nipa Anjum, Md Irfan Pavel, Robert Gonzalez +4
cs.HCcs.AIcs.LGarXiv:2608.28844v12026Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena +2
cs.CLcs.AIcs.LGarXiv:1909.10705v12019Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl +5
cs.CLcs.CRcs.LGarXiv:1909.01492v22019Mutation-Guided LLM-based Test Generation at Meta
Christopher Foster, Abhishek Gulati, Mark Harman +5
cs.SEcs.AIcs.LGarXiv:2501.12862v12025Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
Hermione Warr, Harry Anthony, Lilli J Freischem +3
cs.LGcs.AIarXiv:2608.30021v12026On the Instance Hardness as a Decision Criterion in TinyML Systems
Tobiasz Puslecki, Krzysztof Walkowiak
cs.AIcs.LGarXiv:2608.29913v12026Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
cs.LGcs.CReess.SParXiv:2004.05005v12020MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents
Hei Ting, Chan, Chenwei Wu +5
cs.LGcs.DCcs.MAarXiv:2608.29528v12026LEMUR 2: Unlocking Neural Network Diversity for AI
Tolgay Atinc Uzun, Waleed Khalid, Saif U Din +17
cs.LGcs.CVarXiv:2607.06839v12026LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng +7
cs.LGcs.CLarXiv:2501.11873v22025Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing
Navaneeth Krishnan Kamalakannan, Janakiraman Kamalakannan, Harinisri Velmurugan
eess.SPcs.LGcs.NIarXiv:2609.00435v12026Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu +1
q-bio.OTcs.LGstat.AParXiv:1908.06746v52019Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
eess.AScs.CLcs.LGarXiv:2110.06309v32021Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien +1
eess.IVcs.CVcs.LGarXiv:2004.01184v12020NVIDIA FLARE: Federated Learning from Simulation to Real-World
Holger R. Roth, Yan Cheng, Yuhong Wen +20
cs.LGcs.AIcs.CVarXiv:2210.13291v32022Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.CVcs.AIcs.CLarXiv:2503.04812v22025Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, Joel Lehman +2
cs.LGstat.MLarXiv:1912.07768v12019Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018Are Reasoning Models More Prone to Hallucination?
Zijun Yao, Yantao Liu, Yanxu Chen +5
cs.CLcs.LGarXiv:2505.23646v12025Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
eess.AScs.CLcs.LGarXiv:1910.12607v22019Blink: Fast and Generic Collectives for Distributed ML
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee +3
cs.DCcs.LGarXiv:1910.04940v12019Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li +3
cs.LGcs.AIarXiv:2502.10707v12025Flow Navigation by Smart Microswimmers via Reinforcement Learning
Simona Colabrese, Kristian Gustavsson, Antonio Celani +1
physics.flu-dyncond-mat.stat-mechcs.LGarXiv:1701.08848v32017