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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40,081 to 40,140 of 61,306

Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu, Wei Peng, Xiaobai Li +2
eess.IVcs.CVarXiv:1907.11921v12019
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Hamid Reza Vaezi Joze, Oscar Koller
cs.CVarXiv:1812.01053v22018
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13
cs.ROcs.AIcs.CVarXiv:2108.03272v42021
HRFormer: High-Resolution Transformer for Dense Prediction
Yuhui Yuan, Rao Fu, Lang Huang +4
cs.CVarXiv:2110.09408v32021
Maximizing CNN Accelerator Efficiency Through Resource Partitioning
Yongming Shen, Michael Ferdman, Peter Milder
cs.ARarXiv:1607.00064v22016
Waveform Design for Wireless Power Transfer
Bruno Clerckx, Ekaterina Bayguzina
cs.ITcs.NIarXiv:1604.00074v22016
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
S Sakshi, Utkarsh Tyagi, Sonal Kumar +6
eess.AScs.AIcs.CLarXiv:2410.19168v12024
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
cs.LGcond-mat.mtrl-scistat.MLarXiv:2210.02410v22022
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang, Qi Liu, Xiangyu Yue +2
cs.CVcs.LGarXiv:2010.01089v32020
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, Yang Liu
cs.CLcs.AIcs.LGarXiv:2310.10683v22023
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Chen Gao, Yuliang Zou, Jia-Bin Huang
cs.CVarXiv:1808.10437v12018
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Adam Fisch, Alon Talmor, Robin Jia +3
cs.CLarXiv:1910.09753v22019
Silicon Quantum Photonics
Joshua W. Silverstone, Damien Bonneau, Jeremy L. O'Brien +1
quant-phphysics.opticsarXiv:1707.02334v12017
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
cs.CVarXiv:2407.05128v22024
Attentional Pooling for Action Recognition
Rohit Girdhar, Deva Ramanan
cs.CVarXiv:1711.01467v32017
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric Tzeng +5
cs.CVarXiv:1407.5035v32014
Towards artificial general intelligence via a multimodal foundation model
Nanyi Fei, Zhiwu Lu, Yizhao Gao +9
cs.AIarXiv:2110.14378v22021
Recent Advances in the Internet of Medical Things (IoMT) Systems Security
Ali Ghubaish, Tara Salman, Maede Zolanvari +3
cs.CRarXiv:2302.04439v12023
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
cs.CVcs.CRcs.CYarXiv:2108.00401v22021
DeepFake Detection by Analyzing Convolutional Traces
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
cs.CVarXiv:2004.10448v12020
Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design
Vicky Choi
quant-phcs.CCarXiv:1001.3116v22010
Training Tips for the Transformer Model
Martin Popel, Ondřej Bojar
cs.CLarXiv:1804.00247v22018
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada +2
cs.LGstat.MLarXiv:1908.11775v42019
Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities
Xianglin Liu, Jiaxin Zhang, Zongrui Pei
cond-mat.mtrl-scicond-mat.dis-nnarXiv:2209.03173v12022
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges
Te Wei, Wei Feng, Yunfei Chen +3
cs.NIarXiv:1903.11814v22019
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz +1
cs.LGstat.MLarXiv:2002.00585v12020
Safe Controller Optimization for Quadrotors with Gaussian Processes
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
cs.ROarXiv:1509.01066v42015
Continuous Time Bayesian Networks
Uri Nodelman, Christian R. Shelton, Daphne Koller
cs.AIarXiv:1301.0591v12012
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Abhijit Kundu, Kyle Genova, Xiaoqi Yin +6
cs.CVarXiv:2205.04334v12022
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton, Payal Bajaj, Marinka Zitnik +2
cs.SIcs.LGstat.MLarXiv:1806.01445v42018
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Chaoqi Chen, Zebiao Zheng, Xinghao Ding +2
cs.CVarXiv:2003.06297v12020
Exploring Chemical Compound Space with Quantum-Based Machine Learning
O. Anatole von Lilienfeld, Klaus-Robert Müller, Alexandre Tkatchenko
physics.chem-phphysics.comp-pharXiv:1911.10084v22019
A general framework for Vecchia approximations of Gaussian processes
Matthias Katzfuss, Joseph Guinness
stat.MEstat.COarXiv:1708.06302v52017
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark +1
cs.CLcs.LGarXiv:2102.02503v12021
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell +3
cs.CYarXiv:2001.00964v12020
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle, Lars Mescheder, Michael Niemeyer +2
cs.CVarXiv:1905.07259v12019
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks
Lifeng Xie, Jie Xu, Rui Zhang
cs.ITarXiv:1801.04545v42018
Simple Baseline for Visual Question Answering
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar +2
cs.CVcs.CLarXiv:1512.02167v22015
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
cs.LGstat.MLarXiv:1712.06559v32017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair, Dian Chen, Pulkit Agrawal +4
cs.CVcs.LGcs.ROarXiv:1703.02018v12017
The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise
Ali Khajeh-Hosseini, David Greenwood, James W. Smith +1
cs.DCarXiv:1008.1900v12010
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel Hsu, Sham M. Kakade
cs.LGstat.MLarXiv:1206.5766v42012
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alexander Gomez, Augusto Salazar, Francisco Vargas
cs.CVarXiv:1603.06169v22016
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
stat.MLarXiv:1710.11379v32017
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
Chuan Shi, Xiangnan Kong, Yue Huang +2
cs.IRcs.AIarXiv:1309.7393v12013
Smart Reply: Automated Response Suggestion for Email
Anjuli Kannan, Karol Kurach, Sujith Ravi +8
cs.CLarXiv:1606.04870v12016
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette
cs.LGcs.CVstat.MLarXiv:1712.00032v22017
Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation
Yonina C. Eldar, Holger Rauhut
cs.ITarXiv:0904.0494v12009
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen, Martin J. Wainwright
math.STcs.LGstat.MLarXiv:1509.03025v12015
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
cs.CVarXiv:1911.11130v22019
Simple random search provides a competitive approach to reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
cs.LGcs.AImath.OCarXiv:1803.07055v12018
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
cs.LGcs.CVmath.NAarXiv:1510.06895v12015
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski, Daniel C. Castro, Ben Glocker
stat.MLcs.LGarXiv:2006.06485v22020
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
Liang Chen, Yong Zhang, Yibing Song +2
cs.CVarXiv:2203.12208v32022
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang, James Qin, Daniel S. Park +5
eess.AScs.LGcs.SDarXiv:2010.10504v22020
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng, Zhaohui Wang, Muhan Zhang
cs.LGcs.AIarXiv:2404.02948v42024
GRES: Generalized Referring Expression Segmentation
Chang Liu, Henghui Ding, Xudong Jiang
cs.CVarXiv:2306.00968v12023
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda +1
cs.CLarXiv:1601.01343v42016

Every paper with a summary

Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement

MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

HRFormer: High-Resolution Transformer for Dense Prediction

Maximizing CNN Accelerator Efficiency Through Resource Partitioning

Waveform Design for Wireless Power Transfer

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Unsupervised Point Cloud Pre-Training via Occlusion Completion

Large Language Model Unlearning

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

Silicon Quantum Photonics

SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention

Attentional Pooling for Action Recognition

LSDA: Large Scale Detection Through Adaptation

Towards artificial general intelligence via a multimodal foundation model

Recent Advances in the Internet of Medical Things (IoMT) Systems Security

Automating biomedical data science through tree-based pipeline optimization

Advances in adversarial attacks and defenses in computer vision: A survey

DeepFake Detection by Analyzing Convolutional Traces

Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design

Training Tips for the Transformer Model

Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities

Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges

Proving the Lottery Ticket Hypothesis: Pruning is All You Need

Safe Controller Optimization for Quadrotors with Gaussian Processes

Continuous Time Bayesian Networks

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation

Embedding Logical Queries on Knowledge Graphs

Harmonizing Transferability and Discriminability for Adapting Object Detectors

Exploring Chemical Compound Space with Quantum-Based Machine Learning

A general framework for Vecchia approximations of Gaussian processes

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing

Texture Fields: Learning Texture Representations in Function Space

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks

Simple Baseline for Visual Question Answering

The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

Learning mixtures of spherical Gaussians: moment methods and spectral decompositions

Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks

Latent Space Oddity: on the Curvature of Deep Generative Models

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

Smart Reply: Automated Response Suggestion for Email

Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation

Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Simple random search provides a competitive approach to reinforcement learning

Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

Deep Structural Causal Models for Tractable Counterfactual Inference

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

GRES: Generalized Referring Expression Segmentation

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation