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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41,461 to 41,520 of 61,393

A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
Hanqing Zhang, Haolin Song, Shaoyu Li +2
cs.CLarXiv:2201.05337v52022
GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators
Philipp Wu, Yide Shentu, Zhongke Yi +2
cs.ROarXiv:2309.13037v22023
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
Richard Tran, Janice Lan, Muhammed Shuaibi +14
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2206.08917v32022
Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer
Kanishka Rao, Haşim Sak, Rohit Prabhavalkar
cs.CLcs.SDeess.ASarXiv:1801.00841v12018
A Survey on Wireless Sensor Network Security
Jaydip Sen
cs.CRcs.NIarXiv:1011.1529v12010
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV
Jiarong Lin, Fu Zhang
cs.ROcs.CVeess.IVarXiv:1909.06700v12019
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan +4
stat.MLcs.CLcs.LGarXiv:1706.03850v32017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
Jia Ding, Aoxue Li, Zhiqiang Hu +1
cs.CVarXiv:1706.04303v32017
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu +1
cs.LGarXiv:1711.03705v12017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li, Guotai Wang, Lucas Fidon +3
cs.CVarXiv:1707.01992v12017
Generalized optimal sub-pattern assignment metric
Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson
eess.SYcs.CVarXiv:1601.05585v72016
Stochastic Event-triggered Sensor Schedule for Remote State Estimation
Duo Han, Yilin Mo, Junfeng Wu +3
cs.ITarXiv:1402.0599v12014
VeRA: Vector-based Random Matrix Adaptation
Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano
cs.CLarXiv:2310.11454v22023
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda +1
cs.LGcs.CVstat.MLarXiv:2005.01807v12020
Sparse Activity Detection for Massive Connectivity
Zhilin Chen, Foad Sohrabi, Wei Yu
cs.ITarXiv:1801.05873v12018
Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
Pierre-François Marteau
cs.IRarXiv:cs/0703033v52007
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
cs.ROcs.LGeess.SYarXiv:1602.04450v32016
Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski, Francis Bach
stat.MLarXiv:0909.1440v12009
A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network
Zijian Zhang, Linglong Dai
eess.SPcs.ITcs.PFarXiv:2002.03744v32020
A Review of Deep Learning Techniques for Speech Processing
Ambuj Mehrish, Navonil Majumder, Rishabh Bhardwaj +2
eess.ASarXiv:2305.00359v32023
A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Muller +1
cs.LGcs.CVstat.AParXiv:2103.07678v22021
The Future of Quantum Computing with Superconducting Qubits
Sergey Bravyi, Oliver Dial, Jay M. Gambetta +2
quant-pharXiv:2209.06841v22022
GFlowNet Foundations
Yoshua Bengio, Salem Lahlou, Tristan Deleu +3
cs.LGcs.AIstat.MLarXiv:2111.09266v52021
On the use of human mobility proxy for the modeling of epidemics
Michele Tizzoni, Paolo Bajardi, Adeline Decuyper +6
q-bio.PEphysics.soc-pharXiv:1309.7272v22013
Many-body perturbation theory calculations using the yambo code
D. Sangalli, A. Ferretti, H. Miranda +17
cond-mat.mtrl-sciphysics.comp-pharXiv:1902.03837v22019
Automatic Polyp Segmentation via Multi-scale Subtraction Network
Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
cs.CVarXiv:2108.05082v12021
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham, Isuru Dissanayake, Dinithi Dissanayake +3
cs.CVarXiv:2203.00680v32022
Optimal Solutions for Sparse Principal Component Analysis
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
cs.AIcs.LGarXiv:0707.0705v42007
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
Xucong Zhang, Seonwook Park, Thabo Beeler +3
cs.CVarXiv:2007.15837v12020
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
Amanda Duarte, Shruti Palaskar, Lucas Ventura +5
cs.CVarXiv:2008.08143v22020
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu +2
cs.CVcs.AIarXiv:2303.14420v22023
The Capacity of Private Information Retrieval from Coded Databases
Karim Banawan, Sennur Ulukus
cs.ITcs.CRarXiv:1609.08138v12016
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov +1
stat.MLcs.LGarXiv:2002.06470v42020
3D Trajectory Optimization in Rician Fading for UAV-Enabled Data Harvesting
Changsheng You, Rui Zhang
cs.ITarXiv:1901.04106v52019
Randomized Extended Kaczmarz for Solving Least-Squares
Anastasios Zouzias, Nikolaos Freris
math.NAcs.DSarXiv:1205.5770v32012
Temporal Analysis of Language through Neural Language Models
Yoon Kim, Yi-I Chiu, Kentaro Hanaki +2
cs.CLarXiv:1405.3515v12014
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang +3
cs.CVarXiv:1908.03852v12019
Never Give Up: Learning Directed Exploration Strategies
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi +8
cs.LGstat.MLarXiv:2002.06038v12020
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao, Jiazhi Yang, Li Chen +5
cs.CVcs.AIarXiv:2405.17398v52024
Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
John Hughes, Murali Haran
stat.MEmath.STarXiv:1011.6649v12010
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
Karttikeya Mangalam, Yang An, Harshayu Girase +1
cs.CVcs.AIcs.ROarXiv:2012.01526v12020
Robust Distortion-free Watermarks for Language Models
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto +1
cs.LGcs.CLcs.CRarXiv:2307.15593v32023
Semiconductor Qubits In Practice
Anasua Chatterjee, Paul Stevenson, Silvano De Franceschi +3
cond-mat.mes-hallquant-pharXiv:2005.06564v12020
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
eess.SYeess.SParXiv:2008.05074v32020
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün +17
cs.CVcs.AIarXiv:1702.05970v22017
Network science: a review focused on tourism
R. Baggio, N. Scott, C. Cooper
physics.soc-pharXiv:1002.4766v22010
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations
Christian Beck, Weinan E, Arnulf Jentzen
math.NAcs.LGcs.NEarXiv:1709.05963v12017
Unleashing the potential of prompt engineering for large language models
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené +1
cs.CLcs.AIarXiv:2310.14735v62023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen, Zheng Liu, Xu Huang +9
cs.IRcs.AIcs.CLarXiv:2307.16376v12023
Calibrating Car-Following Models using Trajectory Data: Methodological Study
Arne Kesting, Martin Treiber
physics.soc-phphysics.pop-pharXiv:0803.4063v12008
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
Moshe Mishali, Yonina C. Eldar
nlin.CGarXiv:0802.1311v12008
Machine Learning Based Intrusion Detection Systems for IoT Applications
Abhishek Verma, Virender Ranga
cs.CRcs.NIarXiv:2302.12452v12023
Geometrical structure of Laplacian eigenfunctions
Denis S. Grebenkov, Binh-Thanh Nguyen
math.APmath-phquant-pharXiv:1206.1278v22012
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi, Hang Chu, Joseph G. Lambourne +4
cs.CVcs.AIarXiv:2110.02624v22021
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao +9
cs.LGcs.AIcs.CLarXiv:2310.01783v12023
On the Use of Deep Learning for Blind Image Quality Assessment
Simone Bianco, Luigi Celona, Paolo Napoletano +1
cs.CVarXiv:1602.05531v52016
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Wei Ping, Kainan Peng, Jitong Chen
cs.CLcs.AIcs.LGarXiv:1807.07281v32018
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta +21
cs.CVcs.AIcs.LGarXiv:2305.13786v22023
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
Han Fang, Pengfei Xiong, Luhui Xu +1
cs.CVarXiv:2106.11097v12021
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
eess.IVcs.CVcs.LGarXiv:2301.00785v52023

Every paper with a summary

A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models

GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts

Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer

A Survey on Wireless Sensor Network Security

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

Adversarial Feature Matching for Text Generation

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Online Deep Learning: Learning Deep Neural Networks on the Fly

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Generalized optimal sub-pattern assignment metric

Stochastic Event-triggered Sensor Schedule for Remote State Estimation

VeRA: Vector-based Random Matrix Adaptation

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Sparse Activity Detection for Massive Connectivity

Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

Structured Sparse Principal Component Analysis

A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network

A Review of Deep Learning Techniques for Speech Processing

A review of machine learning in processing remote sensing data for mineral exploration

The Future of Quantum Computing with Superconducting Qubits

GFlowNet Foundations

On the use of human mobility proxy for the modeling of epidemics

Many-body perturbation theory calculations using the yambo code

Automatic Polyp Segmentation via Multi-scale Subtraction Network

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

Optimal Solutions for Sparse Principal Component Analysis

ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

The Capacity of Private Information Retrieval from Coded Databases

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

3D Trajectory Optimization in Rician Fading for UAV-Enabled Data Harvesting

Randomized Extended Kaczmarz for Solving Least-Squares

Temporal Analysis of Language through Neural Language Models

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Never Give Up: Learning Directed Exploration Strategies

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

Robust Distortion-free Watermarks for Language Models

Semiconductor Qubits In Practice

A Review of Deep Reinforcement Learning for Smart Building Energy Management

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Network science: a review focused on tourism

Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations

Unleashing the potential of prompt engineering for large language models

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Calibrating Car-Following Models using Trajectory Data: Methodological Study

Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors

Machine Learning Based Intrusion Detection Systems for IoT Applications

Geometrical structure of Laplacian eigenfunctions

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

On the Use of Deep Learning for Blind Image Quality Assessment

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection