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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3,841 to 3,900 of 20,214
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
Shakti N. Wadekar, Abhishek Chaurasia
cs.CVcs.AIcs.LGarXiv:2209.15159v22022On Attention Models for Human Activity Recognition
Vishvak S Murahari, Thomas Ploetz
cs.CVcs.AIcs.LGarXiv:1805.07648v12018Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu +9
cs.LGarXiv:2204.02372v22022Kernel-based methods for bandit convex optimization
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee
cs.LGcs.DSmath.OCarXiv:1607.03084v12016Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma, Zecong Hu, Jingzhou Liu +3
cs.CLcs.LGarXiv:1805.01087v12018Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen, Haizhao Yang, Shijun Zhang
cs.LGstat.MLarXiv:2103.00502v52021Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Mengying Lei, Nicolas Saunier +1
cs.LGstat.MLarXiv:2104.14936v12021Bringing AI To Edge: From Deep Learning's Perspective
Di Liu, Hao Kong, Xiangzhong Luo +2
cs.LGcs.AIarXiv:2011.14808v12020LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley +4
cs.CVcs.CRcs.LGarXiv:2101.07922v22021DwNet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao +1
cs.CVcs.LGarXiv:1910.09139v12019Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou, Tengyu Xu, Yingbin Liang
cs.LGstat.MLarXiv:1902.02234v32019Learning Monocular Dense Depth from Events
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
cs.CVcs.LGarXiv:2010.08350v22020DaST: Data-free Substitute Training for Adversarial Attacks
Mingyi Zhou, Jing Wu, Yipeng Liu +2
cs.CRcs.CVcs.LGarXiv:2003.12703v22020Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He, Xavier Bresson, Thomas Laurent +3
cs.LGarXiv:2305.19523v52023Deep learning enhanced mobile-phone microscopy
Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8
cs.LGcs.CVphysics.med-pharXiv:1712.04139v12017Experimental neural network enhanced quantum tomography
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi +4
quant-phcond-mat.dis-nncs.AIarXiv:1904.05902v22019Distributed Clustering of Linear Bandits in Peer to Peer Networks
Nathan Korda, Balazs Szorenyi, Shuai Li
cs.LGcs.AIstat.MLarXiv:1604.07706v32016In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li, Haoxiang Zhang, Seungju Han +6
cs.AIcs.CLcs.LGarXiv:2510.05592v22025Attention-Based Models for Text-Dependent Speaker Verification
F A Rezaur Rahman Chowdhury, Quan Wang, Ignacio Lopez Moreno +1
eess.AScs.LGcs.SDarXiv:1710.10470v32017Spectral methods: crucial for machine learning, natural for quantum computers?
Vasilis Belis, Joseph Bowles, Rishabh Gupta +2
quant-phcs.LGstat.MLarXiv:2603.24654v22026A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer, Patrick Doetsch, Paul Voigtlaender +2
cs.NEcs.CLcs.LGarXiv:1606.06871v22016LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
stat.APcs.LGcs.NEarXiv:1909.04293v22019Stop using the elbow criterion for k-means and how to choose the number of clusters instead
Erich Schubert
stat.MLcs.LGarXiv:2212.12189v12022Data augmentation approaches for improving animal audio classification
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
cs.LGcs.SDeess.ASarXiv:1912.07756v22019Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim, Onur Günlü, Rafael F. Schaefer
cs.LGcs.CRcs.DCarXiv:2102.04737v12021On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
Pei-Hao Su, Milica Gasic, Nikola Mrksic +5
cs.CLcs.LGarXiv:1605.07669v22016Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
Daniel George, E. A. Huerta
astro-ph.IMastro-ph.GAastro-ph.HEarXiv:1701.00008v32016Analyzing the impact of feature selection on the accuracy of heart disease prediction
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan +1
cs.LGeess.SParXiv:2206.03239v12022Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin, Nadav Cohen
cs.LGcs.NEstat.MLarXiv:2005.06398v22020Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
eess.IVcs.LGstat.MLarXiv:1910.08978v22019Reinforcement Learning for IoT Security: A Comprehensive Survey
Aashma Uprety, Danda B. Rawat
cs.LGcs.AIarXiv:2102.07247v12021Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT
Tie Luo, Sai G. Nagarajan
cs.NIcs.LGarXiv:1812.04872v12018On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Anish Athalye, Nicholas Carlini
cs.CVcs.CRcs.LGarXiv:1804.03286v12018Identifiability of Causal Graphs using Functional Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
cs.LGstat.MLarXiv:1202.3757v12012Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
stat.MLcs.LGarXiv:1412.5967v12014Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu, DeLiang Wang
cs.SDcs.LGeess.ASarXiv:1904.11148v12019FedDANE: A Federated Newton-Type Method
Tian Li, Anit Kumar Sahu, Manzil Zaheer +3
cs.LGstat.MLarXiv:2001.01920v12020Structured Generative Models of Natural Source Code
Chris J. Maddison, Daniel Tarlow
cs.PLcs.LGstat.MLarXiv:1401.0514v22014Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Ethan Steinberg, Ken Jung, Jason A. Fries +3
cs.CLcs.LGstat.MLarXiv:2001.05295v22020Online Distributed Optimization on Dynamic Networks
Saghar Hosseini, Airlie Chapman, Mehran Mesbahi
math.OCcs.DScs.LGarXiv:1412.7215v12014Factorizable Graph Convolutional Networks
Yiding Yang, Zunlei Feng, Mingli Song +1
cs.LGcs.AIcs.SIarXiv:2010.05421v12020Global Convergence of Online Limited Memory BFGS
Aryan Mokhtari, Alejandro Ribeiro
math.OCcs.LGstat.MLarXiv:1409.2045v12014VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping
Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal +1
cs.HCcs.AIcs.CLarXiv:2304.07810v22023Scaling Laws for Fine-Grained Mixture of Experts
Jakub Krajewski, Jan Ludziejewski, Kamil Adamczewski +9
cs.LGcs.AIcs.CLarXiv:2402.07871v12024Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala +4
cs.CVcs.LGarXiv:1806.03963v12018CollaGAN : Collaborative GAN for Missing Image Data Imputation
Dongwook Lee, Junyoung Kim, Won-Jin Moon +1
cs.CVcs.LGstat.MLarXiv:1901.09764v32019FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao +1
q-fin.TRcs.LGarXiv:2111.09395v12021VinVL: Revisiting Visual Representations in Vision-Language Models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu +5
cs.CVcs.AIcs.CLarXiv:2101.00529v22021Py-Feat: Python Facial Expression Analysis Toolbox
Jin Hyun Cheong, Eshin Jolly, Tiankang Xie +3
cs.CVcs.LGeess.IVarXiv:2104.03509v42021Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang +13
q-bio.QMcs.CVcs.LGarXiv:1909.06326v12019StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1907.12279v22019Anomalib: A Deep Learning Library for Anomaly Detection
Samet Akcay, Dick Ameln, Ashwin Vaidya +3
cs.CVcs.LGarXiv:2202.08341v12022Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
cs.CVcs.LGarXiv:1912.05094v32019MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul +7
eess.SPcs.AIcs.CVarXiv:2102.03814v42021Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky
cs.LGcs.SIstat.MLarXiv:1903.08889v32019Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen, Hal Daumé
cs.HCcs.AIcs.CLarXiv:1909.01871v62019Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan, Siddharth Swaroop, Alexander Immer +3
stat.MLcs.LGarXiv:2004.14070v42020Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs
Yujie Zhang, Huiying Lan, Ehsan Aghapour +5
cs.DCcs.LGcs.PFarXiv:2609.04168v12026LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2
cs.CVcs.AIcs.LGarXiv:2110.06558v12021sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
Andrew Trask, Phil Michalak, John Liu
cs.CLcs.LGarXiv:1511.06388v12015