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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12,601 to 12,660 of 117,815

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi +2
cs.LGcs.CEmath.NAarXiv:2110.15832v22021
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli +4
cs.CVcs.GRarXiv:2007.09892v12020
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Zipeng Fu, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2111.01674v12021
Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang +3
cs.LGcs.AIcs.PLarXiv:2007.04973v42020
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Alex X. Lee, Coline Devin, Yuxiang Zhou +18
cs.ROcs.LGarXiv:2110.06192v22021
CanvasVAE: Learning to Generate Vector Graphic Documents
Kota Yamaguchi
cs.CVarXiv:2108.01249v12021
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein +4
cs.LGcond-mat.dis-nncs.ETarXiv:2104.13386v12021
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Lin Wang, Kuk-Jin Yoon
eess.IVcs.CVcs.LGarXiv:2110.10394v32021
Modelling and Characterisation of Flexibility\\from Distributed Energy Resources
Shariq Riaz, Pierluigi Mancarella
eess.SYcs.SYarXiv:2107.05144v12021
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari +2
cs.LGcs.AIcs.ROarXiv:2006.13916v22020
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Meng Cao, Yue Dong, Jackie Chi Kit Cheung
cs.CLarXiv:2109.09784v22021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Yurui Ren, Ge Li, Yuanqi Chen +2
cs.CVcs.AIarXiv:2109.08379v12021
Neural Networks Fail to Learn Periodic Functions and How to Fix It
Liu Ziyin, Tilman Hartwig, Masahito Ueda
cs.LGstat.MLarXiv:2006.08195v22020
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu +3
cs.LGcs.CVcs.DCarXiv:2106.05001v22021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Robert L. Logan, Ivana Balažević, Eric Wallace +3
cs.CLcs.LGarXiv:2106.13353v22021
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
Javier Albert, Dmitri Goldenberg
cs.IRcs.AIcs.LGarXiv:2108.13298v22021
Quasisymmetric Schur functions
J. Haglund, K. Luoto, S. Mason +1
math.COarXiv:0810.2489v22008
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
eess.AScs.CRcs.LGarXiv:2109.00537v12021
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.03761v42020
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Yifei Li, Tao Du, Kui Wu +2
cs.GRcs.LGarXiv:2106.05306v32021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
Sanjana Srivastava, Chengshu Li, Michael Lingelbach +11
cs.ROcs.AIcs.CVarXiv:2108.03332v12021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
Fan Lai, Yinwei Dai, Sanjay S. Singapuram +4
cs.LGcs.AIcs.DCarXiv:2105.11367v52021
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang, Chen Lv, Yang Xing +1
cs.ROeess.SYarXiv:2005.09202v32020
Task-Oriented Multi-User Semantic Communications for VQA Task
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
eess.SParXiv:2108.07357v32021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng, Ruitong Zhang, Yingtong Dou +3
cs.LGcs.SIarXiv:2104.07886v22021
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu +6
cs.DCcs.LGarXiv:2105.07806v12021
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun +1
cs.CVarXiv:2107.08391v22021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang, Zhiwei Qin, Fan Zhang +5
cs.LGcs.AIarXiv:2106.04493v12021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Şimşek, François Ged, Arthur Jacot +4
cs.LGarXiv:2105.12221v22021
Recovering the Unbiased Scene Graphs from the Biased Ones
Meng-Jiun Chiou, Henghui Ding, Hanshu Yan +3
cs.CVcs.MMarXiv:2107.02112v12021
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Matthew R. Walter, Siddharth Patki, Andrea F. Daniele +7
cs.ROcs.CLarXiv:2105.10396v22021
Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera
Franziska Mueller, Micah Davis, Florian Bernard +5
cs.CVarXiv:2106.08059v12021
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang +2
cs.LGcs.CRstat.MLarXiv:2005.00191v32020
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Fujun Luan, Shuang Zhao, Kavita Bala +1
cs.CVarXiv:2103.15208v32021
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar, Ankit Srivastava
math.NAcs.NEarXiv:2104.08426v22021
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
cs.NEeess.SParXiv:2106.03461v32021
Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language
Michael R. Crusoe, Sanne Abeln, Alexandru Iosup +7
cs.DCarXiv:2105.07028v22021
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
Sihao Hu, Zhen Zhang, Bingqiao Luo +3
cs.CRcs.LGarXiv:2303.18138v22023
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
Jiehong Lin, Zewei Wei, Zhihao Li +3
cs.CVarXiv:2103.06526v32021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare +3
cs.CVcs.AIarXiv:2107.07651v22021
LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
Chenglong Li, Wanlin Xue, Yaqing Jia +4
cs.CVarXiv:2104.13202v22021
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces
Stefano Buzzi, Emanuele Grossi, Marco Lops +1
eess.SPcs.ITarXiv:2105.09250v22021
Fault Localization with Code Coverage Representation Learning
Yi Li, Shaohua Wang, Tien N. Nguyen
cs.SEarXiv:2103.00270v12021
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
Elizabeth Clark, Tal August, Sofia Serrano +3
cs.CLarXiv:2107.00061v22021
Neural Articulated Radiance Field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin +1
cs.CVarXiv:2104.03110v22021
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang, Jie Zhang, Meina Kan +2
cs.CVarXiv:2004.04581v12020
Data-Driven MPC for Quadrotors
Guillem Torrente, Elia Kaufmann, Philipp Foehn +1
cs.ROarXiv:2102.05773v22021
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
stat.MLcs.LGarXiv:2106.05931v32021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian +1
cs.CVarXiv:2105.01017v32021
Designing Network Design Spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick +2
cs.CVcs.LGarXiv:2003.13678v12020
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, Ketan Kotecha
cs.AIcs.CVarXiv:2105.07878v22021
Model-based 3D Hand Reconstruction via Self-Supervised Learning
Yujin Chen, Zhigang Tu, Di Kang +5
cs.CVarXiv:2103.11703v12021
Exploiting Explanations for Model Inversion Attacks
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao +1
cs.CVcs.CYcs.LGarXiv:2104.12669v32021
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
Luca Bergamini, Yawei Ye, Oliver Scheel +6
cs.ROcs.CVcs.LGarXiv:2105.12332v12021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding, Nan Xue, Gui-Song Xia +8
cs.CVarXiv:2102.12219v22021
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy
Li Zheng, Siddhant Kumar, Dennis M. Kochmann
cs.CEarXiv:2012.15744v22020
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li, Hui Liu, Tian Dong +4
cs.CLcs.CRarXiv:2105.00164v32021
The AI Index 2021 Annual Report
Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson +10
cs.AIcs.GLarXiv:2103.06312v12021
The Boombox: Visual Reconstruction from Acoustic Vibrations
Boyuan Chen, Mia Chiquier, Hod Lipson +1
cs.CVcs.MMcs.ROarXiv:2105.08052v22021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei +2
cs.LGcs.AIarXiv:2102.03322v42021

Every paper with a summary

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method

Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images

Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots

Contrastive Code Representation Learning

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

CanvasVAE: Learning to Generate Vector Graphic Documents

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

Deep Learning for HDR Imaging: State-of-the-Art and Future Trends

Modelling and Characterisation of Flexibility\\from Distributed Energy Resources

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Neural Networks Fail to Learn Periodic Functions and How to Fix It

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models

E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling

Quasisymmetric Schur functions

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

GRNet: Gridding Residual Network for Dense Point Cloud Completion

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding

Task-Oriented Multi-User Semantic Communications for VQA Task

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Towards Demystifying Serverless Machine Learning Training

AS-MLP: An Axial Shifted MLP Architecture for Vision

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Recovering the Unbiased Scene Graphs from the Biased Ones

Language Understanding for Field and Service Robots in a Priori Unknown Environments

Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera

Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability

Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering

Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks

Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks

Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking

Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces

Fault Localization with Code Coverage Representation Learning

All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text

Neural Articulated Radiance Field

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Data-Driven MPC for Quadrotors

Score-based Generative Modeling in Latent Space

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Designing Network Design Spaces

A Review on Explainability in Multimodal Deep Neural Nets

Model-based 3D Hand Reconstruction via Self-Supervised Learning

Exploiting Explanations for Model Inversion Attacks

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy

Hidden Backdoors in Human-Centric Language Models

The AI Index 2021 Annual Report

The Boombox: Visual Reconstruction from Acoustic Vibrations

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks