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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56,041 to 56,100 of 61,230

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu, Ryan Lowe, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1603.08023v22016
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh +2
cs.LGcs.NEstat.MLarXiv:1306.0543v22013
MetaFormer Is Actually What You Need for Vision
Weihao Yu, Mi Luo, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2111.11418v32021
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Ben Shneiderman
cs.HCcs.AIarXiv:2002.04087v22020
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +5
cs.CVcs.LGarXiv:2107.00652v32021
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh, Oscar Täckström, Dipanjan Das +1
cs.CLarXiv:1606.01933v22016
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
Finn Årup Nielsen
cs.IRcs.CLarXiv:1103.2903v12011
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
cs.CVarXiv:1804.02748v22018
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu, Lei Deng, Guoqi Li +2
cs.NEq-bio.NCstat.MLarXiv:1706.02609v32017
Most tensor problems are NP-hard
Christopher Hillar, Lek-Heng Lim
cs.CCmath.NAarXiv:0911.1393v52009
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
Taku Kudo
cs.CLarXiv:1804.10959v12018
Deep Learning in Spiking Neural Networks
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh +2
cs.NEcs.AIarXiv:1804.08150v42018
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai +4
cs.CVcs.LGarXiv:1912.11370v32019
Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
cs.LGstat.MLarXiv:2001.03994v12020
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li, Noah Snavely
cs.CVarXiv:1804.00607v42018
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Zhaohui Zheng, Ping Wang, Dongwei Ren +4
cs.CVarXiv:2005.03572v42020
Volume Rendering of Neural Implicit Surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten +1
cs.CVarXiv:2106.12052v22021
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek, Alexander Binder, Grégoire Montavon +2
cs.CVarXiv:1509.06321v12015
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee, Xi Chen, Gang Hua +2
cs.CVcs.AIcs.LGarXiv:1803.08024v22018
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chi Chen, Weike Ye, Yunxing Zuo +2
cond-mat.mtrl-sciphysics.comp-pharXiv:1812.05055v22018
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou +1
cs.CLcs.AIcs.LGarXiv:1907.11932v62019
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Emmanuel Candes, Xiaodong Li, Mahdi Soltanolkotabi
cs.ITmath.FAmath.NAarXiv:1407.1065v32014
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque +3
cs.LGeess.SPstat.MLarXiv:1901.05498v22019
Graph Transformer Networks
Seongjun Yun, Minbyul Jeong, Raehyun Kim +2
cs.LGcs.SIstat.MLarXiv:1911.06455v22019
Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences
Heng Li
q-bio.GNarXiv:1512.01801v22015
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, Anish Athalye +1
cs.CVcs.CRstat.MLarXiv:1804.08598v32018
End-to-End Multi-Task Learning with Attention
Shikun Liu, Edward Johns, Andrew J. Davison
cs.CVarXiv:1803.10704v22018
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Harsh Tataria, Mansoor Shafi, Andreas F. Molisch +3
eess.SPcs.ITarXiv:2008.03213v22020
One weird trick for parallelizing convolutional neural networks
Alex Krizhevsky
cs.NEcs.DCcs.LGarXiv:1404.5997v22014
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell +1
cs.CVarXiv:1510.02192v12015
Convolutional Radio Modulation Recognition Networks
Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy
cs.LGcs.CVarXiv:1602.04105v32016
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev, Mike Del Balso
cs.LGstat.MLarXiv:1802.05799v32018
N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders
Yair Meidan, Michael Bohadana, Yael Mathov +4
cs.CRcs.LGarXiv:1805.03409v12018
Federated Learning with Matched Averaging
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun +2
cs.LGstat.MLarXiv:2002.06440v12020
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee +4
cs.CVarXiv:1609.08675v12016
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan +1
cs.CVarXiv:1801.10112v32018
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, Matteo Boschini, Angelo Porrello +2
stat.MLcs.LGarXiv:2004.07211v22020
A Literature Survey of Benchmark Functions For Global Optimization Problems
Momin Jamil, Xin-She Yang
cs.AImath.OCarXiv:1308.4008v12013
Deep Learning in Bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
cs.LGq-bio.GNarXiv:1603.06430v52016
Experiment-driven Characterization of Full-Duplex Wireless Systems
Melissa Duarte, Chris Dick, Ashutosh Sabharwal
cs.ITarXiv:1107.1276v22011
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading
Baibei Ji, Xiaoyang Weng, Juntao Li +3
cs.CLcs.AIarXiv:2605.10268v12026
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li
cs.CLcs.CVcs.LGarXiv:2605.01402v22026
PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning
Sajib Acharjee Dip, Song Li, Liqing Zhang
cs.CLarXiv:2605.10032v22026
Generative AI at Work
Erik Brynjolfsson, Danielle Li, Lindsey Raymond
econ.GNq-fin.GNarXiv:2304.11771v22023
Integrated Photonic Quantum Technologies
Jianwei Wang, Fabio Sciarrino, Anthony Laing +1
quant-pharXiv:2005.01948v12020
DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
Haoyu Huang, Jiaxin Bai, Shujie Liu +6
cs.CLcs.AIarXiv:2605.10488v12026
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
Chenyang Song, Weilin Zhao, Xu Han +3
cs.LGcs.CLarXiv:2605.10933v32026
Unsupervised Process Reward Models
Artyom Gadetsky, Maxim Kodryan, Siba Smarak Panigrahi +2
cs.LGarXiv:2605.10158v12026
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac +1
cs.CRarXiv:1704.03578v22017
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He, Tat-Seng Chua
cs.LGarXiv:1708.05027v12017
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu +3
cs.CVarXiv:1912.03458v22019
Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception
Yiwei Ou, Chung Ching Cheung, Jun Yang Ang +5
cs.CVcs.IRcs.LGarXiv:2605.09936v12026
SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation
Niyati Rawal, Sushant Ravva, Shah Alam Abir +5
cs.CVarXiv:2605.10376v22026
Semantic Scene Completion from a Single Depth Image
Shuran Song, Fisher Yu, Andy Zeng +3
cs.CVarXiv:1611.08974v12016
Exploring CLIP for Assessing the Look and Feel of Images
Jianyi Wang, Kelvin C. K. Chan, Chen Change Loy
cs.CVarXiv:2207.12396v22022
Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching
Kejia Ren, Gaotian Wang, Andrew S. Morgan +1
cs.ROarXiv:2605.09789v12026
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang +1
cs.CLcs.AIarXiv:2211.12588v42022
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu, Weixin Luo, Dongze Lian +1
cs.CVarXiv:1712.09867v32017
The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
Andrii Yermakov, Jan Cech, Mario Fritz +1
cs.CVarXiv:2605.10334v12026
Invariant Scattering Convolution Networks
Joan Bruna, Stéphane Mallat
cs.CVarXiv:1203.1513v22012

Every paper with a summary

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Predicting Parameters in Deep Learning

MetaFormer Is Actually What You Need for Vision

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

A Decomposable Attention Model for Natural Language Inference

A new ANEW: Evaluation of a word list for sentiment analysis in microblogs

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

Most tensor problems are NP-hard

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Deep Learning in Spiking Neural Networks

Big Transfer (BiT): General Visual Representation Learning

Fast is better than free: Revisiting adversarial training

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

Volume Rendering of Neural Implicit Surfaces

Evaluating the visualization of what a Deep Neural Network has learned

Stacked Cross Attention for Image-Text Matching

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Phase Retrieval via Wirtinger Flow: Theory and Algorithms

Deep learning-based electroencephalography analysis: a systematic review

Graph Transformer Networks

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Black-box Adversarial Attacks with Limited Queries and Information

End-to-End Multi-Task Learning with Attention

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

One weird trick for parallelizing convolutional neural networks

Simultaneous Deep Transfer Across Domains and Tasks

Convolutional Radio Modulation Recognition Networks

Horovod: fast and easy distributed deep learning in TensorFlow

N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

Federated Learning with Matched Averaging

YouTube-8M: A Large-Scale Video Classification Benchmark

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

Dark Experience for General Continual Learning: a Strong, Simple Baseline

A Literature Survey of Benchmark Functions For Global Optimization Problems

Deep Learning in Bioinformatics

Experiment-driven Characterization of Full-Duplex Wireless Systems

MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning

Generative AI at Work

Integrated Photonic Quantum Technologies

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

Unsupervised Process Reward Models

A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Neural Factorization Machines for Sparse Predictive Analytics

Dynamic Convolution: Attention over Convolution Kernels

Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception

SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation

Semantic Scene Completion from a Single Depth Image

Exploring CLIP for Assessing the Look and Feel of Images

Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Future Frame Prediction for Anomaly Detection -- A New Baseline

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection

Invariant Scattering Convolution Networks