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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39,481 to 39,540 of 61,389

DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed, Jia Deng
cs.CVarXiv:1812.04605v42018
Behavioral Portfolio Selection in Continuous Time
Hanqing Jin, Xunyu Zhou
q-fin.PMmath.OCmath.PRarXiv:0709.2830v12007
Multi-Dimensional Recurrent Neural Networks
Alex Graves, Santiago Fernandez, Juergen Schmidhuber
cs.AIcs.CVarXiv:0705.2011v12007
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication
Weifeng Liu, Brian Vinter
cs.MScs.DCmath.NAarXiv:1503.05032v22015
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
Valentin Deschaintre, Miika Aittala, Fredo Durand +2
cs.GRarXiv:1810.09718v12018
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter, Rob Hesselink, Elise van der Pol +2
cs.LGcs.AIstat.MLarXiv:2110.02905v32021
Stochastic subgradient method converges on tame functions
Damek Davis, Dmitriy Drusvyatskiy, Sham Kakade +1
math.OCcs.LGarXiv:1804.07795v32018
Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches
He Chen, Rana Abbas, Peng Cheng +5
cs.ITarXiv:1709.00560v22017
End-to-end Deep Learning of Optical Fiber Communications
Boris Karanov, Mathieu Chagnon, Félix Thouin +5
cs.ITstat.MLarXiv:1804.04097v32018
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models
Philippe Schwaller, Theophile Gaudin, David Lanyi +2
cs.LGstat.MLarXiv:1711.04810v22017
The effect of fading, channel inversion, and threshold scheduling on ad hoc networks
Steven Weber, Jeffrey G. Andrews, Nihar Jindal
cs.ITarXiv:0707.3584v12007
Strong mixed-integer programming formulations for trained neural networks
Ross Anderson, Joey Huchette, Christian Tjandraatmadja +1
math.OCcs.LGarXiv:1811.08359v22018
Improving Alignment and Robustness with Circuit Breakers
Andy Zou, Long Phan, Justin Wang +7
cs.LGcs.AIcs.CLarXiv:2406.04313v42024
On Embeddings for Numerical Features in Tabular Deep Learning
Yury Gorishniy, Ivan Rubachev, Artem Babenko
cs.LGarXiv:2203.05556v42022
The Gremlin Graph Traversal Machine and Language
Marko A. Rodriguez
cs.DBcs.DMarXiv:1508.03843v12015
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
stat.MLcs.LGarXiv:1704.06625v42017
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel, Mohammad Motamedi, Soheil Ghiasi
cs.CVarXiv:1604.03168v32016
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi +1
cs.CRcs.CVcs.CYarXiv:2007.08457v72020
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
Unsupervised Training for 3D Morphable Model Regression
Kyle Genova, Forrester Cole, Aaron Maschinot +3
cs.CVarXiv:1806.06098v12018
Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Neeraj Sharma, Prashant Krishnan, Rohit Kumar +5
eess.AScs.SDarXiv:2005.10548v22020
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
Aichun Zhu, Zijie Wang, Yifeng Li +5
cs.CVarXiv:2109.05534v12021
Replacing the Soft FEC Limit Paradigm in the Design of Optical Communication Systems
Alex Alvarado, Erik Agrell, Domanic Lavery +2
cs.ITphysics.opticsarXiv:1503.05477v12015
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu +10
cs.CVarXiv:2305.18292v22023
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
Jonathan H. Clark, Dan Garrette, Iulia Turc +1
cs.CLcs.LGarXiv:2103.06874v42021
C-FLAT: Control-FLow ATtestation for Embedded Systems Software
Tigist Abera, N. Asokan, Lucas Davi +5
cs.CRarXiv:1605.07763v22016
A Passivity-Based Approach to Nash Equilibrium Seeking over Networks
Dian Gadjov, Lacra Pavel
math.OCarXiv:1705.02424v12017
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach
Lingxiao He, Jian Liang, Haiqing Li +1
cs.CVarXiv:1801.00881v32018
Simple and Deterministic Matrix Sketching
Edo Liberty
cs.DSarXiv:1206.0594v62012
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard, Edouard Grave
cs.CLcs.LGarXiv:2012.04584v22020
Quality Aware Network for Set to Set Recognition
Yu Liu, Junjie Yan, Wanli Ouyang
cs.CVcs.AIarXiv:1704.03373v12017
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The +2
cs.CYarXiv:2107.14040v12021
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Tao Yu, Rui Zhang, He Yang Er +21
cs.CLcs.AIarXiv:1909.05378v12019
A Survey of Multi-Agent Deep Reinforcement Learning with Communication
Changxi Zhu, Mehdi Dastani, Shihan Wang
cs.MAcs.LGarXiv:2203.08975v22022
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Yijiang Liu, Long Lian +5
cs.CVcs.LGarXiv:2302.04304v32023
Predicting catastrophes in nonlinear dynamical systems by compressive sensing
Wen-Xu Wang, Rui Yang, Ying-Cheng Lai +2
physics.data-anarXiv:1105.0462v12011
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016
Multimode Optical Fiber Transmission with a Deep Learning Network
Babak Rahmani, Damien Loterie, Georgia Konstantinou +2
physics.opticsarXiv:1805.05134v22018
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu, Yuan Gao, Zhangming Niu +9
eess.IVcs.CVcs.LGarXiv:2004.06689v12020
Contrastive Learning with Stronger Augmentations
Xiao Wang, Guo-Jun Qi
cs.CVcs.AIcs.LGarXiv:2104.07713v22021
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar, Yarin Gal
stat.MLcs.LGarXiv:1805.09733v32018
Poisson noise reduction with non-local PCA
Joseph Salmon, Zachary Harmany, Charles-Alban Deledalle +1
cs.CVcs.LGstat.COarXiv:1206.0338v42012
Deep Appearance Models for Face Rendering
Stephen Lombardi, Jason Saragih, Tomas Simon +1
cs.GRcs.CVarXiv:1808.00362v12018
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019
Quantum circuits and low-degree polynomials over F_2
Ashley Montanaro
quant-pharXiv:1607.08473v12016
Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis
Bruno Clerckx, Yijie Mao, Robert Schober +1
cs.ITeess.SParXiv:1906.04474v12019
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza, Vishwanath A. Sindagi, Vibashan VS +1
cs.CVcs.LGarXiv:2105.13502v22021
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu, Ser-Nam Lim, Larry Davis +1
cs.CVcs.CRcs.LGarXiv:1910.14667v22019
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi, Yusen Zhang, Nan Zhang +2
cs.CLarXiv:2406.01297v32024
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song +4
cs.ITarXiv:1901.05205v12019
Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery
Seyed Majid Azimi, Eleonora Vig, Reza Bahmanyar +2
cs.CVarXiv:1807.02700v32018
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
Youngjoo Jo, Jongyoul Park
cs.CVarXiv:1902.06838v12019
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
Andrea Palazzi, Davide Abati, Simone Calderara +2
cs.CVarXiv:1705.03854v32017
Saturation Throughput Analysis of IEEE 802.11 in Presence of Non Ideal Transmission Channel and Capture Effects
F. Daneshgaran, Massimiliano Laddomada, F. Mesiti +1
cs.NIarXiv:0710.5236v12007
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Xin Li, Lidong Bing, Wenxuan Zhang +1
cs.CLarXiv:1910.00883v22019
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020
Learning to Recover 3D Scene Shape from a Single Image
Wei Yin, Jianming Zhang, Oliver Wang +4
cs.CVarXiv:2012.09365v12020
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
Morteza Taiebat, Austin L. Brown, Hannah R. Safford +2
cs.CYecon.GNarXiv:1901.10581v22019
A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition
Yang Li, Wenming Zheng, Lei Wang +5
q-bio.NCeess.SParXiv:1906.01704v12019
Hodge Laplacians on graphs
Lek-Heng Lim
cs.ITarXiv:1507.05379v42015

Every paper with a summary

DeepV2D: Video to Depth with Differentiable Structure from Motion

Behavioral Portfolio Selection in Continuous Time

Multi-Dimensional Recurrent Neural Networks

CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication

Single-Image SVBRDF Capture with a Rendering-Aware Deep Network

Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Stochastic subgradient method converges on tame functions

Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches

End-to-end Deep Learning of Optical Fiber Communications

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models

The effect of fading, channel inversion, and threshold scheduling on ad hoc networks

Strong mixed-integer programming formulations for trained neural networks

Improving Alignment and Robustness with Circuit Breakers

On Embeddings for Numerical Features in Tabular Deep Learning

The Gremlin Graph Traversal Machine and Language

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

Hardware-oriented Approximation of Convolutional Neural Networks

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Evaluation of Session-based Recommendation Algorithms

Unsupervised Training for 3D Morphable Model Regression

Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval

Replacing the Soft FEC Limit Paradigm in the Design of Optical Communication Systems

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation

C-FLAT: Control-FLow ATtestation for Embedded Systems Software

A Passivity-Based Approach to Nash Equilibrium Seeking over Networks

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

Simple and Deterministic Matrix Sketching

Distilling Knowledge from Reader to Retriever for Question Answering

Quality Aware Network for Set to Set Recognition

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Q-Diffusion: Quantizing Diffusion Models

Predicting catastrophes in nonlinear dynamical systems by compressive sensing

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Multimode Optical Fiber Transmission with a Deep Learning Network

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

Contrastive Learning with Stronger Augmentations

Towards Robust Evaluations of Continual Learning

Poisson noise reduction with non-local PCA

Deep Appearance Models for Face Rendering

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Quantum circuits and low-degree polynomials over F_2

Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis

Unsupervised Domain Adaptation of Object Detectors: A Survey

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems

Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

Predicting the Driver's Focus of Attention: the DR(eye)VE Project

Saturation Throughput Analysis of IEEE 802.11 in Presence of Non Ideal Transmission Channel and Capture Effects

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Pre-training Tasks for Embedding-based Large-scale Retrieval

Learning to Recover 3D Scene Shape from a Single Image

A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles

A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition

Hodge Laplacians on graphs