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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93,781 to 93,840 of 101,881

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang +7
cs.CVarXiv:1812.03443v32018
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
cs.CLcs.LGcs.NEarXiv:1812.08951v22018
Framing by Wording, Framing by Selection: A Large-Scale Two-Dimensional Audit of French News Headlines, 2022-2025
Amr Sobhy
cs.CLarXiv:2609.28487v12026
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Liheng Zhang, Guo-Jun Qi, Liqiang Wang +1
cs.CVarXiv:1901.04596v22019
Superion: Grammar-Aware Greybox Fuzzing
Junjie Wang, Bihuan Chen, Lei Wei +1
cs.CRcs.SEarXiv:1812.01197v32018
Neural network models and deep learning - a primer for biologists
Nikolaus Kriegeskorte, Tal Golan
q-bio.NCcs.LGcs.NEarXiv:1902.04704v22019
Thou shalt not hate: Countering Online Hate Speech
Binny Mathew, Punyajoy Saha, Hardik Tharad +5
cs.SIarXiv:1808.04409v22018
Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset
Matias Martinez, Thomas Durieux, Romain Sommerard +2
cs.SEarXiv:1811.02429v12018
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz +6
cs.LGcs.AIcs.ROarXiv:1807.00412v22018
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide +3
cs.CVarXiv:1812.01024v22018
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang, Wei-Lun Chao, Divyansh Garg +3
cs.CVarXiv:1812.07179v62018
DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
Zihao Zhang, Stefan Zohren, Stephen Roberts
q-fin.CParXiv:1808.03668v62018
Evaluating research: from informed peer review to bibliometrics
Giovanni Abramo, Ciriaco Andrea D'Angelo
cs.DLarXiv:1811.01765v12018
When Accuracy Gaps Fail to Certify: Auditing Cross-Domain Recalibration of LLM Judges
Fariya Afrin, Ibne Farabi Shihab
cs.LGarXiv:2609.27954v12026
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster +3
cs.CLarXiv:1811.01241v22018
Crop Yield Prediction Using Deep Neural Networks
Saeed Khaki, Lizhi Wang
cs.LGstat.APstat.MLarXiv:1902.02860v32019
ZD-AOMDV: A New Routing Algorithm for Mobile Ad-Hoc Networks
Nastooh Taheri Javan, Reza Kiaeifar, Bahram Hakhamaneshi +1
cs.NIarXiv:2609.27881v12026
A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr, Stephanie Zhou, Ally Zhang +3
cs.CLcs.CVarXiv:1811.00491v32018
Summaries:한국어
Strategies for Structuring Story Generation
Angela Fan, Mike Lewis, Yann Dauphin
cs.CLarXiv:1902.01109v22019
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
cs.CVarXiv:1808.01454v12018
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Zhi Li, Hongke Zhao, Qi Liu +3
cs.IRarXiv:1808.01075v12018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero +7
cs.CVarXiv:1810.10863v12018
Blockchain for Cities - A Systematic Literature Review
Charles Shen, Feniosky Pena-Mora
cs.CYarXiv:1812.10412v12018
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Aaron Harlap, Deepak Narayanan, Amar Phanishayee +4
cs.DCarXiv:1806.03377v12018
Self-Erasing Network for Integral Object Attention
Qibin Hou, Peng-Tao Jiang, Yunchao Wei +1
cs.CVarXiv:1810.09821v12018
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang +8
cs.CLcs.AIcs.CVarXiv:1901.10125v72019
CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation
Yuntian Xiao, Shoulong Zhang, Wenfeng Song +3
cs.MMcs.AIarXiv:2609.25821v12026
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang, Yue Zhang
cs.CLarXiv:1806.05626v22018
Learning without Memorizing
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng +2
cs.CVcs.LGarXiv:1811.08051v22018
IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax
David López-Pérez, Adrian Garcia-Rodriguez, Lorenzo Galati-Giordano +2
cs.ITarXiv:1902.04320v22019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu +1
cs.CVcs.LGarXiv:1812.04960v22018
Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko +1
cs.CVarXiv:1702.05464v12017
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde, Mariano Cabezas, Eloy Roura +7
cs.CVarXiv:1702.04869v12017
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim, Donghyeon Cho, In So Kweon
cs.CVarXiv:1811.09795v12018
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Hamid Reza Vaezi Joze, Oscar Koller
cs.CVarXiv:1812.01053v22018
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia, Percy Liang
cs.CLarXiv:1806.03822v12018
Loco-Loco-RL: Low-Cost Terrain Mapping for Humanoid Locomotion with Reinforcement Learning
Jordan Dowdy, Gryffin Reizian, Jean Chagas Vaz
cs.ROarXiv:2609.19041v12026
Feature Pyramid Network for Multi-Class Land Segmentation
Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev +1
cs.CVarXiv:1806.03510v22018
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee +3
cs.DCarXiv:1901.05758v22019
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin, Katharina Kann, Mo Yu +1
cs.CLarXiv:1702.01923v12017
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
cs.LGcs.CVstat.MLarXiv:1812.00332v22018
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
Jacob Shermeyer, Adam Van Etten
cs.CVarXiv:1812.04098v32018
Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks
Jiaqi Jiang, David Sell, Stephan Hoyer +3
physics.opticscs.LGarXiv:1811.12436v22018
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
Yapeng Tian, Yulun Zhang, Yun Fu +1
cs.CVarXiv:1812.02898v12018
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
cs.CVcs.AIcs.LGarXiv:1812.03596v32018
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long, Xin He, Cong Yao
cs.CVarXiv:1811.04256v52018
Super-resolution reconstruction of turbulent flows with machine learning
Kai Fukami, Koji Fukagata, Kunihiko Taira
physics.flu-dynarXiv:1811.11328v22018
A 420 GOPS/W CGRA with a Configurable MAC and Dynamic Truncation
Yi Sheng Chong, Rakshith Harish, Rajesh Chandrasekhara Panicker +2
cs.ARarXiv:2609.16600v12026
Ptolemy: A Semantic Map of Exploratory Data Analysis
Dylan Wootton, Denny Bromley, Vidya Setlur
cs.HCarXiv:2609.16539v12026
Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer +2
cs.CVarXiv:1812.03828v22018
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu +1
cs.CVarXiv:1811.02307v12018
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation
Ye Jia, Melvin Johnson, Wolfgang Macherey +6
cs.CLcs.LGcs.SDarXiv:1811.02050v22018
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
Shiming Ge, Shengwei Zhao, Chenyu Li +1
cs.CVarXiv:1811.09998v22018
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomir Mech +2
cs.CVarXiv:1901.00542v12019
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim +2
cs.CVarXiv:1812.10352v22018
Do Code Clones Matter?
Elmar Juergens, Florian Deissenboeck, Benjamin Hummel +1
cs.SEarXiv:1701.05472v12017
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He, Ping Liu, Ziwei Wang +2
cs.CVarXiv:1811.00250v32018
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto +3
cs.CVcs.LGstat.MLarXiv:1812.01718v12018
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
cs.CVarXiv:1810.12890v12018
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish +1
cs.LGstat.MLarXiv:1812.00564v12018

Every paper with a summary

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Analysis Methods in Neural Language Processing: A Survey

Framing by Wording, Framing by Selection: A Large-Scale Two-Dimensional Audit of French News Headlines, 2022-2025

AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

Superion: Grammar-Aware Greybox Fuzzing

Neural network models and deep learning - a primer for biologists

Thou shalt not hate: Countering Online Hate Speech

Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset

Learning to Drive in a Day

DeepVoxels: Learning Persistent 3D Feature Embeddings

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

DeepLOB: Deep Convolutional Neural Networks for Limit Order Books

Evaluating research: from informed peer review to bibliometrics

When Accuracy Gaps Fail to Certify: Auditing Cross-Domain Recalibration of LLM Judges

Wizard of Wikipedia: Knowledge-Powered Conversational agents

Crop Yield Prediction Using Deep Neural Networks

ZD-AOMDV: A New Routing Algorithm for Mobile Ad-Hoc Networks

A Corpus for Reasoning About Natural Language Grounded in Photographs

Strategies for Structuring Story Generation

T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

Blockchain for Cities - A Systematic Literature Review

PipeDream: Fast and Efficient Pipeline Parallel DNN Training

Self-Erasing Network for Integral Object Attention

Glyce: Glyph-vectors for Chinese Character Representations

CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation

NCRF++: An Open-source Neural Sequence Labeling Toolkit

Learning without Memorizing

IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax

Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video

Adversarial Discriminative Domain Adaptation

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Know What You Don't Know: Unanswerable Questions for SQuAD

Loco-Loco-RL: Low-Cost Terrain Mapping for Humanoid Locomotion with Reinforcement Learning

Feature Pyramid Network for Multi-Class Land Segmentation

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

Comparative Study of CNN and RNN for Natural Language Processing

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery

Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

Task-Free Continual Learning

Scene Text Detection and Recognition: The Deep Learning Era

Super-resolution reconstruction of turbulent flows with machine learning

A 420 GOPS/W CGRA with a Configurable MAC and Dynamic Truncation

Ptolemy: A Semantic Map of Exploratory Data Analysis

Occupancy Networks: Learning 3D Reconstruction in Function Space

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation

Photo-Sketching: Inferring Contour Drawings from Images

Learning Not to Learn: Training Deep Neural Networks with Biased Data

Do Code Clones Matter?

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

Deep Learning for Classical Japanese Literature

DropBlock: A regularization method for convolutional networks

Split learning for health: Distributed deep learning without sharing raw patient data