Every paper with a summary
Every arXiv paper Paperlayer has summarized so far. 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.
Search paper metadata (including unsummarized papers)
36,961 to 37,020 of 61,393
A linear algorithm for optimization over directed graphs with geometric convergence
Ran Xin, Usman A. Khan
math.OCarXiv:1803.02503v32018CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1904.04631v12019AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Hyeongmin Lee, Taeoh Kim, Tae-young Chung +3
cs.CVarXiv:1907.10244v32019Multi-Task Learning as a Bargaining Game
Aviv Navon, Aviv Shamsian, Idan Achituve +4
cs.LGcs.GTarXiv:2202.01017v22022Diving Deeper into Underwater Image Enhancement: A Survey
Saeed Anwar, Chongyi Li
cs.CVcs.LGeess.IVarXiv:1907.07863v12019Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni, Gilles Puy, Huy V. Vo +6
cs.CVarXiv:2109.14279v12021Construction of a Large Class of Deterministic Sensing Matrices that Satisfy a Statistical Isometry Property
Robert Calderbank, Stephen Howard, Sina Jafarpour
cs.ITmath.PRarXiv:0910.1943v12009What is the best risk measure in practice? A comparison of standard measures
Susanne Emmer, Marie Kratz, Dirk Tasche
q-fin.RMarXiv:1312.1645v42013Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang, Wongun Choi, Yuanqing Lin +1
cs.CVarXiv:1604.04693v32016Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu, Hongyi Guo
cs.LGstat.MLarXiv:1910.03231v72019LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann +2
cs.CVarXiv:1901.06767v12019Self-Calibrating Neural Radiance Fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy +3
cs.CVarXiv:2108.13826v22021Shallow-UWnet : Compressed Model for Underwater Image Enhancement
Ankita Naik, Apurva Swarnakar, Kartik Mittal
cs.CVeess.IVarXiv:2101.02073v12021Differentially Private Iterative Synchronous Consensus
Zhenqi Huang, Sayan Mitra, Geir Dullerud
cs.CRcs.DCeess.SYarXiv:1207.4262v22012REGAL: Representation Learning-based Graph Alignment
Mark Heimann, Haoming Shen, Tara Safavi +1
cs.SIarXiv:1802.06257v32018Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu +4
cs.LGarXiv:2012.09600v12020A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
eess.IVcs.CVcs.LGarXiv:2004.12837v12020Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu, Lequan Yu, Luyang Luo +2
cs.CVarXiv:2005.07377v12020AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe, Hinrich Schütze
cs.CLarXiv:1507.01127v12015Communication Steps for Parallel Query Processing
Paul Beame, Paraschos Koutris, Dan Suciu
cs.DBarXiv:1306.5972v12013Word Affect Intensities
Saif M. Mohammad
cs.CLarXiv:1704.08798v22017Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu, Yunzhi Zhuge, Lu Zhang +4
cs.CVarXiv:2403.11549v22024End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi +3
eess.AScs.CLcs.SDarXiv:1909.06247v12019Efficient Exploration via State Marginal Matching
Lisa Lee, Benjamin Eysenbach, Emilio Parisotto +3
cs.LGcs.AIcs.ROarXiv:1906.05274v32019Witnessing Quantum Coherence: from solid-state to biological systems
Che-Ming Li, Neill Lambert, Yueh-Nan Chen +2
quant-phphysics.bio-phphysics.class-pharXiv:1212.0194v12012Interactive Policy Learning through Confidence-Based Autonomy
Sonia Chernova, Manuela Veloso
cs.AIarXiv:1401.3439v12014Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann, Carsten Rother
cs.CVarXiv:1905.04132v22019Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou, Nghia The Pham, Marco Baroni
cs.CLcs.CVcs.LGarXiv:1501.02598v32015Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning
Ewa Syta, Iulia Tamas, Dylan Visher +6
cs.CRarXiv:1503.08768v42015PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Wei Zou, Runpeng Geng, Binghui Wang +1
cs.CRcs.LGarXiv:2402.07867v32024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang +5
cs.CVarXiv:2402.14650v12024Channel Pruning via Automatic Structure Search
Mingbao Lin, Rongrong Ji, Yuxin Zhang +3
cs.CVarXiv:2001.08565v32020Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Kaifeng Bi, Lingxi Xie, Hengheng Zhang +3
physics.ao-phcs.AIcs.CVarXiv:2211.02556v12022A Primer on the Signature Method in Machine Learning
Ilya Chevyrev, Andrey Kormilitzin
stat.MLcs.LGstat.MEarXiv:1603.03788v22016Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego de las Casas, Aurelia Guy +23
cs.CLcs.LGarXiv:2202.01169v22022Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li, Yong Cheng, Wei Wang +2
cs.LGcs.CRstat.MLarXiv:2002.00211v12020Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017Evaluating Discourse Phenomena in Neural Machine Translation
Rachel Bawden, Rico Sennrich, Alexandra Birch +1
cs.CLarXiv:1711.00513v32017Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
stat.MLcs.AIcs.CVarXiv:1804.04241v12018A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi +4
cs.CLcs.AIarXiv:1804.09635v12018Fractional Calculus In Image Processing: A Review
Qi Yang, Dali Chen, Tiebiao Zhao +1
cs.CVarXiv:1608.03240v12016EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
Jiaoyang Li, Wheeler Ruml, Sven Koenig
cs.AIcs.MAcs.ROarXiv:2010.01367v22020A Hierarchy of Information Quantities for Finite Block Length Analysis of Quantum Tasks
Marco Tomamichel, Masahito Hayashi
quant-pharXiv:1208.1478v32012Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon, John Bronskill, Matthias Bauer +2
stat.MLcs.LGarXiv:1805.09921v42018Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich +3
cs.LGarXiv:2304.14772v22023Analysis of a continuous-time model of structural balance
Seth A. Marvel, Jon M. Kleinberg, Robert D. Kleinberg +1
nlin.AOnlin.SIarXiv:1010.1814v12010The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling
Andreas Mayr, Harald Binder, Olaf Gefeller +1
stat.MEarXiv:1403.1452v32014Distributed Robust Multi-Cell Coordinated Beamforming with Imperfect CSI: An ADMM Approach
Chao Shen, Tsung-Hui Chang, Kun-Yu Wang +2
cs.ITarXiv:1107.2018v12011Sandwiched Rényi Divergence Satisfies Data Processing Inequality
Salman Beigi
quant-phcs.ITmath-pharXiv:1306.5920v62013Med-HALT: Medical Domain Hallucination Test for Large Language Models
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
cs.CLcs.AIcs.LGarXiv:2307.15343v22023Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer +1
cs.CLarXiv:2205.10770v22022Small-world behavior in time-varying graphs
J. Tang, S. Scellato, M. Musolesi +2
physics.soc-pharXiv:0909.1712v22009MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6
eess.IVcs.CVarXiv:2105.07451v22021NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez +5
eess.SYcs.LGarXiv:2004.05519v12020NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Yi Wei, Shaohui Liu, Yongming Rao +3
cs.CVarXiv:2109.01129v32021Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
stat.MLcs.AIcs.LGarXiv:1811.01287v12018LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
cs.CLcs.AIcs.LGarXiv:2312.11514v32023Representative Forgery Mining for Fake Face Detection
Chengrui Wang, Weihong Deng
cs.CVarXiv:2104.06609v12021End-to-End Neural Entity Linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann
cs.CLarXiv:1808.07699v22018Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta +1
cs.CLarXiv:1908.06083v12019