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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12,481 to 12,540 of 20,153
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu, Yuan Gao, Zhangming Niu +9
eess.IVcs.CVcs.LGarXiv:2004.06689v12020Contrastive Learning with Stronger Augmentations
Xiao Wang, Guo-Jun Qi
cs.CVcs.AIcs.LGarXiv:2104.07713v22021Towards Robust Evaluations of Continual Learning
Sebastian Farquhar, Yarin Gal
stat.MLcs.LGarXiv:1805.09733v32018Poisson noise reduction with non-local PCA
Joseph Salmon, Zachary Harmany, Charles-Alban Deledalle +1
cs.CVcs.LGstat.COarXiv:1206.0338v42012Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza, Vishwanath A. Sindagi, Vibashan VS +1
cs.CVcs.LGarXiv:2105.13502v22021Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu, Ser-Nam Lim, Larry Davis +1
cs.CVcs.CRcs.LGarXiv:1910.14667v22019Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson +2
cs.CVcs.LGarXiv:1904.07846v12019Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
Cecilia S. Lee, Doug M. Baughman, Aaron Y. Lee
stat.MLcs.CVcs.LGarXiv:1612.04891v12016Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade +1
cs.LGcs.AIstat.MLarXiv:1902.08438v42019Solving Mixed Integer Programs Using Neural Networks
Vinod Nair, Sergey Bartunov, Felix Gimeno +16
math.OCcs.AIcs.DMarXiv:2012.13349v32020Unsupervised Learning from Narrated Instruction Videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal +3
cs.CVcs.LGarXiv:1506.09215v42015Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2
cs.LGcs.CVarXiv:2301.11699v32023Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul +5
cs.LGcs.AIarXiv:2407.15595v22024Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu, Bo Huang, John Wright +1
stat.MLcs.LGarXiv:1307.5870v22013Parting with Misconceptions about Learning-based Vehicle Motion Planning
Daniel Dauner, Marcel Hallgarten, Andreas Geiger +1
cs.ROcs.AIcs.CVarXiv:2306.07962v22023Deep learning for smart fish farming: applications, opportunities and challenges
Xinting Yang, Song Zhang, Jintao Liu +3
cs.CVcs.LGeess.IVarXiv:2004.11848v22020Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
eess.IVcs.CVcs.LGarXiv:2008.08871v22020Technical Comparative Benchmarking Study: Advanced AI Hybrid Methods for Renewable Energy Farm Optimization and Forecasting
Majid Masoumi, Asghar Dashtiy, Mohammad Dehghan +1
cs.LGarXiv:2608.26613v12026DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search
Junzhao Zhang, Tao Zhang, Liren Yu +4
cs.LGcs.IRarXiv:2608.25635v12026A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning
Ziyu Zhang, Zikang Jia, Xiaosong Li +1
quant-phcs.LGarXiv:2608.24229v12026Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City
Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh +1
cs.CRcs.LGarXiv:2608.22555v12026Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
Sara Malacarne, Andrea Ceni, Claudio Gallicchio
cs.LGcs.NEstat.MLarXiv:2608.20998v12026TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection
Shivam Swarup, Divya Prakash Shrivastava, Rakesh Thakur
cs.CLcs.LGarXiv:2608.20376v12026Backward through Time, Algebraically
Konstantinos Kogkalidis
cs.LGcs.LOcs.PLarXiv:2608.17087v12026Deep Analog: Open-Set Film Emulation with Reference-Conditioned 3D LUTs
Yitong Mu
cs.CVcs.GRcs.LGarXiv:2608.14702v12026Dynamic Multi-Depot Vehicle Routing with Online Requests: Event-Driven Transformer--DRL and Rolling-Horizon Benchmarking
Faezeh Ardali, Gerald M. Knapp
cs.LGarXiv:2608.13799v12026A Verifiable Search Is Not a Learnable Chain-of-Thought
Harsh Patel
cs.LGcs.AIcs.CLarXiv:2606.21884v12026Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems
Sajjad Khan
cs.LGcs.DCcs.LOarXiv:2606.17182v12026Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities
Hassan Ismkhan, Hamid Bouchahcia
cs.ROcs.LGarXiv:2606.15514v12026PubMed-OCR: PMC Open Access OCR Annotations
Hunter Heidenreich, Yosheb Getachew, Olivia Dinica +1
cs.CVcs.CLcs.DLarXiv:2601.11425v12026HybridFlow: A Flexible and Efficient RLHF Framework
Guangming Sheng, Chi Zhang, Zilingfeng Ye +6
cs.LGcs.DCarXiv:2409.19256v22024Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai +3
cs.HCcs.AIcs.LGarXiv:2304.03442v22023Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang +2
cs.CVcs.AIcs.LGarXiv:2302.07817v22023Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang +7
cs.CVcs.GRcs.LGarXiv:2211.10440v22022Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang +1
cs.AIcs.LGarXiv:2205.13504v32022DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon +1
cs.CVcs.LGarXiv:2111.11326v32021Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson +17
cs.LGarXiv:2104.00954v12021The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu, Akash Velu, Eugene Vinitsky +4
cs.LGcs.AIcs.MAarXiv:2103.01955v42021Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva +3
physics.flu-dyncs.LGarXiv:2102.01010v12021E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon Batzner, Albert Musaelian, Lixin Sun +6
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2101.03164v32021NeRD: Neural Reflectance Decomposition from Image Collections
Mark Boss, Raphael Braun, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2012.03918v42020CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019FSGAN: Subject Agnostic Face Swapping and Reenactment
Yuval Nirkin, Yosi Keller, Tal Hassner
cs.CVcs.GRcs.LGarXiv:1908.05932v12019R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
cs.CVcs.LGeess.IVarXiv:1908.05612v62019Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang, Yu-Chin Chan, Faez Ahmed +3
cs.CEcs.LGstat.MLarXiv:2006.15274v22020Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
cs.LGstat.MLarXiv:2006.01107v120203D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai +2
cs.CVcs.LGcs.ROarXiv:1905.02693v42019Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong +4
cs.CVcs.LGarXiv:1811.11553v32018Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
stat.MLcs.LGarXiv:1805.07226v22018On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis Bach
cs.LGmath.NAstat.MLarXiv:1502.06800v22015Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018AutoML to Date and Beyond: Challenges and Opportunities
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith +3
cs.LGcs.AIarXiv:2010.10777v42020Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen +5
cs.LGstat.MLarXiv:1712.05877v12017Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto +8
cs.AIcs.LGstat.MLarXiv:2301.10677v22023On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo +9
cs.CYcs.LGphysics.chem-pharXiv:2204.01467v12022MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
cs.CVcs.AIcs.LGarXiv:2405.07992v32024Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang +1
cs.LGarXiv:1703.07015v32017