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.

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38,401 to 38,460 of 61,255

Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach
Xiao Liu, Yuanwei Liu, Yue Chen +1
eess.SParXiv:1812.07665v22018
Feature Pyramid Transformer
Dong Zhang, Hanwang Zhang, Jinhui Tang +3
cs.CVarXiv:2007.09451v12020
Phase-field modeling of fluid-driven dynamic cracking in porous media
Shuwei Zhou, Xiaoying Zhuang, Timon Rabczuk
math.NAcs.CEarXiv:2309.02438v12023
Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization
Qiang Li, Wing-Kin Ma
cs.ITarXiv:1303.1915v12013
The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
cs.LGcs.NEstat.MLarXiv:2007.15884v22020
Machine Learning Phases of Strongly Correlated Fermions
Kelvin Ch'ng, Juan Carrasquilla, Roger G. Melko +1
cond-mat.str-elarXiv:1609.02552v32016
Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Yuzhuang Xu, Shuo Wang, Peng Li +4
cs.CLarXiv:2309.04658v22023
Coherent Online Video Style Transfer
Dongdong Chen, Jing Liao, Lu Yuan +2
cs.CVarXiv:1703.09211v22017
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch, Pierre Sermanet
cs.ROcs.AIcs.CLarXiv:2005.07648v22020
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
Nitika Mathur, Timothy Baldwin, Trevor Cohn
cs.CLarXiv:2006.06264v22020
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang +6
cs.CVarXiv:2108.01390v52021
A fractional Laplace equation: regularity of solutions and Finite Element approximations
Gabriel Acosta, Juan Pablo Borthagaray
math.NAarXiv:1507.08970v32015
Constant-Overhead Fault-Tolerant Quantum Computation with Reconfigurable Atom Arrays
Qian Xu, J. Pablo Bonilla Ataides, Christopher A. Pattison +7
quant-pharXiv:2308.08648v12023
Randomized Kaczmarz solver for noisy linear systems
Deanna Needell
math.NAmath.PRarXiv:0902.0958v22009
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid
cs.CVarXiv:1803.00455v32018
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual +4
eess.AScs.CLcs.LGarXiv:2001.09239v22020
Condenser: a Pre-training Architecture for Dense Retrieval
Luyu Gao, Jamie Callan
cs.CLcs.IRarXiv:2104.08253v22021
Vision Transformer for Small-Size Datasets
Seung Hoon Lee, Seunghyun Lee, Byung Cheol Song
cs.CVarXiv:2112.13492v12021
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
Peihua Li, Jiangtao Xie, Qilong Wang +1
cs.CVarXiv:1712.01034v22017
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan, Kris Kitani
cs.CVcs.LGeess.IVarXiv:2003.08386v22020
Almost Envy-Freeness with General Valuations
Benjamin Plaut, Tim Roughgarden
cs.GTarXiv:1707.04769v32017
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Ziye Wang +3
cs.CLcs.LGarXiv:1811.01727v32018
Semantic Segmentation using Vision Transformers: A survey
Hans Thisanke, Chamli Deshan, Kavindu Chamith +3
cs.CVcs.AIcs.LGarXiv:2305.03273v12023
Explaining the Explainer: A First Theoretical Analysis of LIME
Damien Garreau, Ulrike von Luxburg
cs.LGstat.MLarXiv:2001.03447v22020
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
Bhuwan Dhingra, Lihong Li, Xiujun Li +4
cs.CLcs.LGarXiv:1609.00777v32016
A Semantic Framework for the Security Analysis of Ethereum smart contracts
Ilya Grishchenko, Matteo Maffei, Clara Schneidewind
cs.CRarXiv:1802.08660v22018
Fake News Identification on Twitter with Hybrid CNN and RNN Models
Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari
cs.SIcs.CLarXiv:1806.11316v12018
Data Mining and Machine Learning in Astronomy
Nicholas M. Ball, Robert J. Brunner
astro-ph.IMastro-ph.COarXiv:0906.2173v22009
Fast L1-Minimization Algorithms For Robust Face Recognition
Allen Y. Yang, Zihan Zhou, Arvind Ganesh +2
cs.CVmath.NAarXiv:1007.3753v42010
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith, Quoc V. Le
cs.LGcs.AIstat.MLarXiv:1710.06451v32017
An Empirical Study of Remote Sensing Pretraining
Di Wang, Jing Zhang, Bo Du +2
cs.CVarXiv:2204.02825v42022
Neural Expectation Maximization
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.NEstat.MLarXiv:1708.03498v22017
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Xiangtai Li, Xia Li, Li Zhang +5
cs.CVarXiv:2007.10035v22020
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Gabriel B Margolis, Pulkit Agrawal
cs.ROcs.AIcs.LGarXiv:2212.03238v12022
3D Shape Induction from 2D Views of Multiple Objects
Matheus Gadelha, Subhransu Maji, Rui Wang
cs.CVarXiv:1612.05872v12016
Learning Equations for Extrapolation and Control
Subham S. Sahoo, Christoph H. Lampert, Georg Martius
cs.LGstat.MLarXiv:1806.07259v12018
Risks from Learned Optimization in Advanced Machine Learning Systems
Evan Hubinger, Chris van Merwijk, Vladimir Mikulik +2
cs.AIarXiv:1906.01820v32019
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification
Kaiwei Zeng
cs.CVarXiv:1910.12278v22019
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu +5
cs.CVarXiv:2109.01847v12021
How to calculate the fractal dimension of a complex network: the box covering algorithm
Chaoming Song, Lazaros K. Gallos, Shlomo Havlin +1
cond-mat.dis-nncond-mat.stat-mecharXiv:cond-mat/0701216v12007
Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet +1
stat.MLcs.LGarXiv:2002.08871v22020
Conjunctive Query Answering for the Description Logic SHIQ
Birte Glimm, Ian Horrocks, Carsten Lutz +1
cs.AIarXiv:1111.0049v12011
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4
cs.LGcs.NEstat.MLarXiv:1703.04813v42017
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend, Niklas Koep, Sebastian Weichwald
cs.MScs.LGmath.OCarXiv:1603.03236v42016
Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam +1
cs.LGcs.CLarXiv:2106.04426v32021
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
cs.CLcs.AIcs.IRarXiv:1801.09251v22018
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li, Tao Wang, Bingyi Kang +4
cs.CVcs.LGstat.MLarXiv:2006.10408v12020
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
Suzhi Bi, Liang Huang, Hui Wang +1
cs.NIarXiv:2010.01370v32020
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi, Shahar Mendelson
math.STcs.LGstat.MLarXiv:1906.04280v12019
Self-Imitation Learning
Junhyuk Oh, Yijie Guo, Satinder Singh +1
cs.LGcs.AIstat.MLarXiv:1806.05635v12018
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
Yuang Zhang, Tiancai Wang, Xiangyu Zhang
cs.CVarXiv:2211.09791v22022
Decoupling Zero-Shot Semantic Segmentation
Jian Ding, Nan Xue, Gui-Song Xia +1
cs.CVarXiv:2112.07910v22021
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao, Jiayi Ma, Mingbo Zhao +2
cs.CVcs.LGarXiv:1801.08297v42018
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Joseph K. Bradley, Aapo Kyrola, Danny Bickson +1
cs.LGcs.ITarXiv:1105.5379v12011
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall +2
cs.LGcs.CLmath.OCarXiv:2305.14342v42023
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia, David Dao, Boxin Wang +6
cs.LGstat.MLarXiv:1908.08619v42019
Observation of coherent perfect absorption at an exceptional point
Changqing Wang, William R. Sweeney, A. Douglas Stone +1
physics.opticseess.SYphysics.app-pharXiv:2109.08353v12021
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks
Sarah Jane Hamilton, Andreas Hauptmann
math.NAcs.NEmath.AParXiv:1711.03180v22017
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks
Long Chen, Hanwang Zhang, Jun Xiao +2
cs.CVarXiv:1712.01928v22017
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr, Josef Stumpfegger, Rüdiger Westermann
cs.CVcs.GRarXiv:2401.02436v22023

Every paper with a summary

Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach

Feature Pyramid Transformer

Phase-field modeling of fluid-driven dynamic cracking in porous media

Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization

The Kolmogorov-Arnold representation theorem revisited

Machine Learning Phases of Strongly Correlated Fermions

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Coherent Online Video Style Transfer

Language Conditioned Imitation Learning over Unstructured Data

Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

A fractional Laplace equation: regularity of solutions and Finite Element approximations

Constant-Overhead Fault-Tolerant Quantum Computation with Reconfigurable Atom Arrays

Randomized Kaczmarz solver for noisy linear systems

LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images

Multi-task self-supervised learning for Robust Speech Recognition

Condenser: a Pre-training Architecture for Dense Retrieval

Vision Transformer for Small-Size Datasets

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

Almost Envy-Freeness with General Valuations

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Semantic Segmentation using Vision Transformers: A survey

Explaining the Explainer: A First Theoretical Analysis of LIME

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

A Semantic Framework for the Security Analysis of Ethereum smart contracts

Fake News Identification on Twitter with Hybrid CNN and RNN Models

Data Mining and Machine Learning in Astronomy

Fast L1-Minimization Algorithms For Robust Face Recognition

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

An Empirical Study of Remote Sensing Pretraining

Neural Expectation Maximization

Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior

3D Shape Induction from 2D Views of Multiple Objects

Learning Equations for Extrapolation and Control

Risks from Learned Optimization in Advanced Machine Learning Systems

Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

How to calculate the fractal dimension of a complex network: the box covering algorithm

Fast Differentiable Sorting and Ranking

Conjunctive Query Answering for the Description Logic SHIQ

Learned Optimizers that Scale and Generalize

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Hash Layers For Large Sparse Models

Multi-Pointer Co-Attention Networks for Recommendation

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

Mean estimation and regression under heavy-tailed distributions--a survey

Self-Imitation Learning

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Decoupling Zero-Shot Semantic Segmentation

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Parallel Coordinate Descent for L1-Regularized Loss Minimization

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Observation of coherent perfect absorption at an exceptional point

Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks

Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks

Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis