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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41,701 to 41,760 of 61,116

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
Haotian Yang, Hao Zhu, Yanru Wang +4
cs.CVarXiv:2003.13989v32020
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Jing Xu, Arthur Szlam, Jason Weston
cs.CLcs.AIarXiv:2107.07567v12021
Neural networks for the prediction organic chemistry reactions
Jennifer N. Wei, David Duvenaud, Alán Aspuru-Guzik
physics.chem-phq-bio.QMstat.MLarXiv:1608.06296v22016
Platoons of connected vehicles can double throughput in urban roads
Jennie Lioris, Ramtin Pedarsani, Fatma Yildiz Tascikaraoglu +1
math.DSarXiv:1511.00775v22015
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
cs.CLarXiv:2002.08307v22020
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll +8
cs.CVarXiv:1601.07014v32016
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke, Stefan Chmiela, Michael Gastegger +3
physics.chem-phcs.LGarXiv:2105.00304v22021
Modeling echo chambers and polarization dynamics in social networks
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov +1
physics.soc-phcs.SIarXiv:1906.12325v22019
Learning with a Strong Adversary
Ruitong Huang, Bing Xu, Dale Schuurmans +1
cs.LGarXiv:1511.03034v62015
De-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis
Maziar S. Hemati, Clarence W. Rowley, Eric A. Deem +1
physics.flu-dynmath.DSphysics.data-anarXiv:1502.03854v22015
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio +1
q-bio.NCcs.LGcs.NEarXiv:1810.11393v12018
AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du, Jindong Wang, Wenjie Feng +4
cs.LGcs.AIarXiv:2108.04443v22021
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang +5
cs.CLarXiv:2402.13753v12024
PolyGen: An Autoregressive Generative Model of 3D Meshes
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami +1
cs.GRcs.CVcs.LGarXiv:2002.10880v12020
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa, Yan Duan, Pieter Abbeel
cs.AIcs.LGcs.NEarXiv:1704.03012v12017
A survey of Bayesian Network structure learning
Neville K. Kitson, Anthony C. Constantinou, Zhigao Guo +2
cs.LGcs.AIarXiv:2109.11415v22021
Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?
James M. Flegal, Murali Haran, Galin L. Jones
math.STstat.COarXiv:math/0703746v52007
Poisoning Web-Scale Training Datasets is Practical
Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo +6
cs.CRcs.LGarXiv:2302.10149v22023
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
cs.CVcs.AIcs.HCarXiv:1711.09561v12017
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue, Hongwei Yong, Qian Zhao +2
cs.CVarXiv:1908.11314v52019
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal, Chongli Qin, Jonathan Uesato +2
stat.MLcs.AIcs.LGarXiv:2010.03593v32020
Men Set Their Own Cites High: Gender and Self-citation across Fields and over Time
Molly M. King, Carl T. Bergstrom, Shelley J. Correll +2
physics.soc-phcs.DLarXiv:1607.00376v22016
Taming the Noise in Reinforcement Learning via Soft Updates
Roy Fox, Ari Pakman, Naftali Tishby
cs.LGcs.ITarXiv:1512.08562v42015
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau +1
cs.LGarXiv:1511.06297v22015
ULySS: A Full Spectrum Fitting Package
Mina Koleva, Philippe Prugniel, Antoine Bouchard +1
astro-ph.IMastro-ph.COarXiv:0903.2979v12009
Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
Maciej P. Polak, Dane Morgan
cs.CLcond-mat.mtrl-sciarXiv:2303.05352v32023
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
Péter Mernyei, Cătălina Cangea
cs.LGcs.SIstat.MLarXiv:2007.02901v22020
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Hongming Shan, Atul Padole, Fatemeh Homayounieh +5
cs.CVphysics.med-pharXiv:1811.03691v12018
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horvath, Stefanos Laskaridis, Mario Almeida +3
cs.LGcs.DCarXiv:2102.13451v52021
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Michaela Blott, Thomas Preusser, Nicholas Fraser +3
cs.ARarXiv:1809.04570v12018
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
Jing Zhang, Deng-Ping Fan, Yuchao Dai +4
cs.CVarXiv:2004.05763v12020
Measuring Fairness in Ranked Outputs
Ke Yang, Julia Stoyanovich
cs.DBarXiv:1610.08559v12016
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones
Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16
eess.IVq-bio.QMarXiv:2007.00478v22020
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen, Qi Dou, Hao Chen +2
cs.CVarXiv:1901.08211v42019
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
Jiang Liu, Chenqiang Gao, Deyu Meng +1
cs.CVarXiv:1712.06679v22017
YOLOv6 v3.0: A Full-Scale Reloading
Chuyi Li, Lulu Li, Yifei Geng +6
cs.CVarXiv:2301.05586v12023
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng, Tabish Rashid, Christian A. Schroeder de Witt +4
cs.LGcs.AIstat.MLarXiv:2003.06709v52020
TAM: Temporal Adaptive Module for Video Recognition
Zhaoyang Liu, Limin Wang, Wayne Wu +2
cs.CVarXiv:2005.06803v32020
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu +3
cs.CVcs.ROarXiv:2203.11139v12022
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark, Christopher D. Manning
cs.CLarXiv:1609.08667v32016
Robotic Control via Embodied Chain-of-Thought Reasoning
Michał Zawalski, William Chen, Karl Pertsch +3
cs.ROcs.LGarXiv:2407.08693v32024
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang, Hengshuang Zhao, Jianping Shi +2
cs.CVarXiv:1807.11699v12018
The design and construction of reference pangenome graphs
Heng Li, Xiaowen Feng, Chong Chu
q-bio.GNarXiv:2003.06079v12020
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung +2
cs.CLarXiv:1704.08760v12017
Target-Aware Deep Tracking
Xin Li, Chao Ma, Baoyuan Wu +2
cs.CVarXiv:1904.01772v12019
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata +3
cs.CLcs.AIarXiv:1704.05972v12017
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration
Hasan Genc, Seah Kim, Alon Amid +16
cs.DCcs.ARcs.LGarXiv:1911.09925v32019
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
stat.MEstat.APstat.MLarXiv:1203.1365v22012
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
Xiaodan Liang, Ke Gong, Xiaohui Shen +1
cs.CVarXiv:1804.01984v12018
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai +1
cs.LGcs.AIstat.MLarXiv:1906.04733v22019
UltraFeedback: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding +9
cs.CLcs.AIcs.LGarXiv:2310.01377v22023
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng, Xiangteng He, Junjie Zhao
cs.CVarXiv:1704.01740v22017
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta
cs.CVarXiv:1612.04844v22016
Representation Learning by Learning to Count
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
cs.CVarXiv:1708.06734v12017
An analysis of the L1 Scheme for the subdiffusion equation with nonsmooth data
Bangti Jin, Raytcho Lazarov, Zhi Zhou
math.NAarXiv:1501.00253v12015
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
Zhe Jia, Marco Maggioni, Benjamin Staiger +1
cs.DCcs.PFarXiv:1804.06826v12018
Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan +2
physics.ao-pharXiv:1707.03558v12017
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert, Scott Lundberg, Su-In Lee
cs.LGstat.MLarXiv:2011.14878v22020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang +4
cs.CVarXiv:2010.09713v22020
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
Michael B. Cohen, Sam Elder, Cameron Musco +2
cs.DScs.LGarXiv:1410.6801v32014

Every paper with a summary

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

Neural networks for the prediction organic chemistry reactions

Platoons of connected vehicles can double throughput in urban roads

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound

SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects

Modeling echo chambers and polarization dynamics in social networks

Learning with a Strong Adversary

De-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis

Dendritic cortical microcircuits approximate the backpropagation algorithm

AdaRNN: Adaptive Learning and Forecasting of Time Series

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

PolyGen: An Autoregressive Generative Model of 3D Meshes

Stochastic Neural Networks for Hierarchical Reinforcement Learning

A survey of Bayesian Network structure learning

Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?

Poisoning Web-Scale Training Datasets is Practical

HP-GAN: Probabilistic 3D human motion prediction via GAN

Variational Denoising Network: Toward Blind Noise Modeling and Removal

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Men Set Their Own Cites High: Gender and Self-citation across Fields and over Time

Taming the Noise in Reinforcement Learning via Soft Updates

Conditional Computation in Neural Networks for faster models

ULySS: A Full Spectrum Fitting Package

Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering

Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Measuring Fairness in Ranked Outputs

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

YOLOv6 v3.0: A Full-Scale Reloading

FACMAC: Factored Multi-Agent Centralised Policy Gradients

TAM: Temporal Adaptive Module for Video Recognition

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

Deep Reinforcement Learning for Mention-Ranking Coreference Models

Robotic Control via Embodied Chain-of-Thought Reasoning

SegStereo: Exploiting Semantic Information for Disparity Estimation

The design and construction of reference pangenome graphs

Learning a Neural Semantic Parser from User Feedback

Target-Aware Deep Tracking

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Bayesian Nonparametric Hidden Semi-Markov Models

Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Object-Part Attention Model for Fine-grained Image Classification

The More You Know: Using Knowledge Graphs for Image Classification

Representation Learning by Learning to Count

An analysis of the L1 Scheme for the subdiffusion equation with nonsmooth data

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach

Explaining by Removing: A Unified Framework for Model Explanation

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Dimensionality Reduction for k-Means Clustering and Low Rank Approximation