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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12,361 to 12,420 of 20,192
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva, Leila Wehbe
cs.CLcs.AIcs.LGarXiv:1905.11833v42019Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
cs.LGcs.AIcs.CLarXiv:2309.16042v22023e3nn: Euclidean Neural Networks
Mario Geiger, Tess Smidt
cs.LGcs.AIcs.NEarXiv:2207.09453v12022Unsupervised Generative Modeling Using Matrix Product States
Zhao-Yu Han, Jun Wang, Heng Fan +2
cond-mat.stat-mechcs.LGquant-pharXiv:1709.01662v32017Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3
cs.LGcs.AIcs.DSarXiv:1803.02815v22018A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Ren, Stanislav Fort, Jeremiah Liu +3
cs.LGarXiv:2106.09022v12021Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan +1
cs.CVcs.GRcs.LGarXiv:1808.05174v12018JudgeBench: A Benchmark for Evaluating LLM-based Judges
Sijun Tan, Siyuan Zhuang, Kyle Montgomery +5
cs.AIcs.CLcs.LGarXiv:2410.12784v22024Deep Learning for Whole Slide Image Analysis: An Overview
Neofytos Dimitriou, Ognjen Arandjelović, Peter D Caie
cs.CVcs.LGeess.IVarXiv:1910.11097v12019StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron +2
cs.CVcs.CLcs.GRarXiv:2108.00946v22021Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao, Zhiying Fang, Yue Wu +2
cs.LGstat.MLarXiv:1912.01198v32019Control of Memory, Active Perception, and Action in Minecraft
Junhyuk Oh, Valliappa Chockalingam, Satinder Singh +1
cs.AIcs.CVcs.LGarXiv:1605.09128v12016Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad, Andrea Goldsmith
eess.SPcs.ITcs.LGarXiv:1802.02046v32018MIONet: Learning multiple-input operators via tensor product
Pengzhan Jin, Shuai Meng, Lu Lu
cs.LGphysics.comp-pharXiv:2202.06137v12022Simple Bayesian Algorithms for Best Arm Identification
Daniel Russo
cs.LGarXiv:1602.08448v42016How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
Guanting Dong, Hongyi Yuan, Keming Lu +7
cs.CLcs.AIcs.LGarXiv:2310.05492v42023Transformers in Time-series Analysis: A Tutorial
Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi +3
cs.LGarXiv:2205.01138v22022Deep learning from crowds
Filipe Rodrigues, Francisco Pereira
stat.MLcs.CVcs.HCarXiv:1709.01779v22017CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng +1
cs.LGstat.MLarXiv:1810.01965v12018CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
Xiang Ren, Zeqiu Wu, Wenqi He +5
cs.CLcs.LGarXiv:1610.08763v22016Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes
Takuya Akiba, Shuji Suzuki, Keisuke Fukuda
cs.DCcs.CVcs.LGarXiv:1711.04325v12017Red-Teaming the Stable Diffusion Safety Filter
Javier Rando, Daniel Paleka, David Lindner +2
cs.AIcs.CRcs.CVarXiv:2210.04610v52022Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang
quant-phcs.LGstat.MLarXiv:1804.04168v12018Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor, Zhen Lin, Shubhendu Trivedi
stat.MLcs.LGarXiv:1806.09231v22018Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Daniel Seichter, Mona Köhler, Benjamin Lewandowski +2
cs.CVcs.LGcs.ROarXiv:2011.06961v32020The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro +2
cs.LGcs.AIstat.MLarXiv:2205.07802v12022Few-Shot Classification with Feature Map Reconstruction Networks
Davis Wertheimer, Luming Tang, Bharath Hariharan
cs.CVcs.LGarXiv:2012.01506v22020SBSM-Pro: Support Bio-sequence Machine for Proteins
Yizheng Wang, Yixiao Zhai, Yijie Ding +1
q-bio.QMcs.LGarXiv:2308.10275v22023Graph Neural Networks in Network Neuroscience
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
cs.LGq-bio.NCarXiv:2106.03535v22021Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
cs.LGcs.NEarXiv:1512.08756v52015Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
cs.ITcs.LGarXiv:0811.1790v12008Learning from Untrusted Data
Moses Charikar, Jacob Steinhardt, Gregory Valiant
cs.LGcs.AIcs.CCarXiv:1611.02315v22016Weak SINDy For Partial Differential Equations
Daniel A. Messenger, David M. Bortz
math.NAcs.LGstat.MLarXiv:2007.02848v32020Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar, Fabrizio Frasca, Nina Otter +4
cs.LGstat.MLarXiv:2106.12575v32021A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020Doubly Aligned Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.02785v12019A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
Alyssa Lees, Vinh Q. Tran, Yi Tay +4
cs.CLcs.AIcs.CYarXiv:2202.11176v12022Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review
L. Erhan, M. Ndubuaku, M. Di Mauro +5
cs.LGarXiv:2010.14946v22020CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh +5
cs.HCcs.AIcs.CVarXiv:2004.15004v32020Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama, Antonio G. Marques, Geert Leus +1
eess.SPcs.AIcs.LGarXiv:1805.00165v22018Portfolio Allocation for Bayesian Optimization
Eric Brochu, Matthew W. Hoffman, Nando de Freitas
cs.LGarXiv:1009.5419v22010Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
cs.LGstat.MLarXiv:1910.05653v62019Subgraph Matching Kernels for Attributed Graphs
Nils Kriege, Petra Mutzel
cs.LGstat.MLarXiv:1206.6483v12012Understanding the Difficulty of Training Transformers
Liyuan Liu, Xiaodong Liu, Jianfeng Gao +2
cs.LGcs.CLstat.MLarXiv:2004.08249v32020Federated Adversarial Domain Adaptation
Xingchao Peng, Zijun Huang, Yizhe Zhu +1
cs.CVcs.LGarXiv:1911.02054v32019DARTS+: Improved Differentiable Architecture Search with Early Stopping
Hanwen Liang, Shifeng Zhang, Jiacheng Sun +4
cs.CVcs.LGarXiv:1909.06035v22019Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du +3
cs.CVcs.AIcs.CRarXiv:2302.04638v22023Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen, Yue Cao, Han Hu +1
cs.CVcs.LGeess.IVarXiv:2003.12063v12020Show Your Work: Improved Reporting of Experimental Results
Jesse Dodge, Suchin Gururangan, Dallas Card +2
cs.LGcs.CLstat.MEarXiv:1909.03004v12019Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian +3
cs.CVcs.LGarXiv:2103.01946v22021Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai, Kan Ren, Weinan Zhang +4
cs.LGcs.AIcs.GTarXiv:1701.02490v22017Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng, Andrew Gibiansky +5
cs.SDcs.AIcs.CLarXiv:1710.07654v32017Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang +2
cs.LGcs.CVstat.MLarXiv:1806.04166v22018A unified view of entropy-regularized Markov decision processes
Gergely Neu, Anders Jonsson, Vicenç Gómez
cs.LGcs.AIstat.MLarXiv:1705.07798v12017Conditional Object-Centric Learning from Video
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran +6
cs.CVcs.LGstat.MLarXiv:2111.12594v22021Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
Pranav Singh Chib, Pravendra Singh
cs.ROcs.AIcs.CVarXiv:2307.04370v22023Understanding the impact of entropy on policy optimization
Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi +1
cs.LGstat.MLarXiv:1811.11214v52018PyGAD: An Intuitive Genetic Algorithm Python Library
Ahmed Fawzy Gad
cs.NEcs.CVcs.LGarXiv:2106.06158v12021Graph Neural Networks for Graphs with Heterophily: A Survey
Xin Zheng, Yi Wang, Yixin Liu +5
cs.LGarXiv:2202.07082v42022