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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39,721 to 39,780 of 61,249

AdapterDrop: On the Efficiency of Adapters in Transformers
Andreas Rücklé, Gregor Geigle, Max Glockner +4
cs.LGcs.CLarXiv:2010.11918v22020
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood, Daniel Borders, Richard Chen +4
cs.CVarXiv:1810.00236v22018
Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre +1
cs.ITarXiv:1801.00121v12017
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
cs.SDcs.LGarXiv:1709.01620v42017
Quantum Communication With Zero-Capacity Channels
Graeme Smith, Jon Yard
quant-pharXiv:0807.4935v22008
Automated Fact Checking: Task formulations, methods and future directions
James Thorne, Andreas Vlachos
cs.CLarXiv:1806.07687v22018
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, Andrea Montanari
stat.MLcond-mat.stat-mechcs.LGarXiv:1902.06015v12019
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao +3
cs.CLcs.AIcs.HCarXiv:2305.02547v52023
Decoupling of brain function from structure reveals regional behavioral specialization in humans
Maria Giulia Preti, Dimitri Van De Ville
q-bio.NCeess.IVarXiv:1905.07813v22019
A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri +1
cs.LGcs.AIcs.SIarXiv:2012.02825v22020
Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach
Deepti Ghadiyaram, Alan C. Bovik
cs.CVarXiv:1609.04757v12016
How Well Do Self-Supervised Models Transfer?
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
cs.CVarXiv:2011.13377v22020
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Decision making under uncertainty using imprecise probabilities
Matthias C. M. Troffaes
math.PRstat.MEarXiv:1807.03705v12018
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
cs.LGcs.NEstat.MLarXiv:1803.00657v12018
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan +1
cs.AIarXiv:2305.14909v22023
The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards
Sarah Holland, Ahmed Hosny, Sarah Newman +2
cs.DBcs.CYarXiv:1805.03677v12018
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
Heng Zhang, Elisa Fromont, Sébastien Lefevre +1
cs.CVarXiv:2009.12664v12020
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Zehao Yu, Torsten Sattler, Andreas Geiger
cs.CVarXiv:2404.10772v22024
StainGAN: Stain Style Transfer for Digital Histological Images
M Tarek Shaban, Christoph Baur, Nassir Navab +1
cs.CVarXiv:1804.01601v12018
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments
Chongjian Yuan, Xiyuan Liu, Xiaoping Hong +1
cs.ROarXiv:2103.01627v22021
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan +1
cs.CLarXiv:1808.04339v22018
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
Kailai Zhou, Linsen Chen, Xun Cao
cs.CVarXiv:2008.03043v22020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi +2
cs.CLarXiv:1911.10470v22019
BOP Challenge 2020 on 6D Object Localization
Tomas Hodan, Martin Sundermeyer, Bertram Drost +5
cs.CVcs.GRcs.LGarXiv:2009.07378v22020
Conformal Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch +2
stat.MEcs.AIcs.LGarXiv:2208.02814v42022
Wireless Information and Power Transfer in Cooperative Networks with Spatially Random Relays
Z. Ding, I. Krikidis, B. Sharif +1
cs.ITarXiv:1403.6164v12014
Asynchronous, Photometric Feature Tracking using Events and Frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego +1
cs.CVcs.ROarXiv:1807.09713v12018
Deep Neural Networks for Anatomical Brain Segmentation
Alexandre de Brebisson, Giovanni Montana
cs.CVcs.LGstat.AParXiv:1502.02445v22015
Self-supervised Learning of Motion Capture
Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer +1
cs.CVarXiv:1712.01337v12017
Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
Beixiong Zheng, Qingqing Wu, Rui Zhang
cs.ITcs.ETarXiv:2001.08909v22020
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi +2
stat.MLcs.LGarXiv:1803.05598v22018
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa +1
cs.CVarXiv:1904.00889v32019
Analysing Affective Behavior in the First ABAW 2020 Competition
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev +1
cs.LGstat.MLarXiv:2001.11409v22020
Scaling Laws for Transfer
Danny Hernandez, Jared Kaplan, Tom Henighan +1
cs.LGarXiv:2102.01293v12021
Quantifying Einstein-Podolsky-Rosen steering
Paul Skrzypczyk, Miguel Navascues, Daniel Cavalcanti
quant-pharXiv:1311.4590v32013
OTFS: A New Generation of Modulation Addressing the Challenges of 5G
Ronny Hadani, Anton Monk
cs.ITarXiv:1802.02623v12018
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nathan Srebro +1
cs.LGarXiv:1106.4574v12011
Optimal Data-Dependent Hashing for Approximate Near Neighbors
Alexandr Andoni, Ilya Razenshteyn
cs.DSarXiv:1501.01062v32015
Node Similarity Preserving Graph Convolutional Networks
Wei Jin, Tyler Derr, Yiqi Wang +3
cs.LGcs.AIarXiv:2011.09643v22020
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
Hao Zhu, Wayne Wu, Wentao Zhu +5
cs.CVarXiv:2207.12393v12022
SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI
Marco Palombo, Andrada Ianus, Daniel Nunes +4
physics.med-pharXiv:1907.02832v32019
Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
Colby L. Wight, Jia Zhao
math.NAcs.NEarXiv:2007.04542v12020
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Yukang Chen, Fuzhao Xue, Dacheng Li +15
cs.CVcs.CLarXiv:2408.10188v62024
Strong SOCP Relaxations for the Optimal Power Flow Problem
Burak Kocuk, Santanu S. Dey, X. Andy Sun
math.OCarXiv:1504.06770v42015
Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis
Haiquan Lu, Yong Zeng
cs.ITarXiv:2104.13162v12021
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking
Hyeonseob Nam, Mooyeol Baek, Bohyung Han
cs.CVarXiv:1608.07242v12016
Do Llamas Work in English? On the Latent Language of Multilingual Transformers
Chris Wendler, Veniamin Veselovsky, Giovanni Monea +1
cs.CLcs.CYarXiv:2402.10588v42024
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David Krueger, Tegan Maharaj, János Kramár +7
cs.NEcs.CLcs.LGarXiv:1606.01305v42016
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
Heng Yang, Pasquale Antonante, Vasileios Tzoumas +1
cs.CVcs.ROmath.OCarXiv:1909.08605v42019
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi +2
cs.CVarXiv:1905.02722v12019
QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions
Samuel Kriman, Stanislav Beliaev, Boris Ginsburg +6
eess.ASarXiv:1910.10261v12019
Generalized Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer +2
cs.CVarXiv:2108.01614v22021
Distributed Algorithms for Aggregative Games on Graphs
Jayash Koshal, Angelia Nedić, Uday V. Shanbhag
math.OCarXiv:1605.00267v22016
Aggregated Contextual Transformations for High-Resolution Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao +1
cs.CVarXiv:2104.01431v12021
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
cs.LGstat.MLarXiv:2009.13807v52020
A Solution to the Network Challenges of Data Recovery in Erasure-coded Distributed Storage Systems: A Study on the Facebook Warehouse Cluster
K. V. Rashmi, Nihar B. Shah, Dikang Gu +3
cs.NIcs.DCcs.ITarXiv:1309.0186v12013
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
cs.SDcs.LGeess.ASarXiv:1911.13254v22019
On Regularized Losses for Weakly-supervised CNN Segmentation
Meng Tang, Federico Perazzi, Abdelaziz Djelouah +3
cs.CVarXiv:1803.09569v22018
Cross-view Semantic Segmentation for Sensing Surroundings
Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung +2
cs.CVeess.IVarXiv:1906.03560v32019

Every paper with a summary

AdapterDrop: On the Efficiency of Adapters in Transformers

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues

Deep Learning Techniques for Music Generation -- A Survey

Quantum Communication With Zero-Capacity Channels

Automated Fact Checking: Task formulations, methods and future directions

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Decoupling of brain function from structure reveals regional behavioral specialization in humans

A Survey on Deep Learning for Human Mobility

Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

How Well Do Self-Supervised Models Transfer?

When Machine Unlearning Jeopardizes Privacy

Decision making under uncertainty using imprecise probabilities

Evolutionary Generative Adversarial Networks

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

StainGAN: Stain Style Transfer for Digital Histological Images

Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments

Disentangled Representation Learning for Non-Parallel Text Style Transfer

Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

BOP Challenge 2020 on 6D Object Localization

Conformal Risk Control

Wireless Information and Power Transfer in Cooperative Networks with Spatially Random Relays

Asynchronous, Photometric Feature Tracking using Events and Frames

Deep Neural Networks for Anatomical Brain Segmentation

Self-supervised Learning of Motion Capture

Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?

Large Margin Deep Networks for Classification

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

Analysing Affective Behavior in the First ABAW 2020 Competition

Scaling Laws for Transfer

Quantifying Einstein-Podolsky-Rosen steering

OTFS: A New Generation of Modulation Addressing the Challenges of 5G

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Optimal Data-Dependent Hashing for Approximate Near Neighbors

Node Similarity Preserving Graph Convolutional Networks

CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI

Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Strong SOCP Relaxations for the Optimal Power Flow Problem

Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis

Modeling and Propagating CNNs in a Tree Structure for Visual Tracking

Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image

QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions

Generalized Source-free Domain Adaptation

Distributed Algorithms for Aggregative Games on Graphs

Aggregated Contextual Transformations for High-Resolution Image Inpainting

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress

A Solution to the Network Challenges of Data Recovery in Erasure-coded Distributed Storage Systems: A Study on the Facebook Warehouse Cluster

Music Source Separation in the Waveform Domain

On Regularized Losses for Weakly-supervised CNN Segmentation

Cross-view Semantic Segmentation for Sensing Surroundings