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.

Search paper metadata (including unsummarized papers)

40,861 to 40,920 of 61,204

Domain-Adversarial Neural Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle +2
stat.MLcs.LGcs.NEarXiv:1412.4446v22014
Wireless Information and Power Transfer with Full Duplex Relaying
Caijun Zhong, Himal A. Suraweera, Gan Zheng +2
cs.ITarXiv:1409.3904v12014
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
cs.LGcs.CVcs.NEarXiv:1711.05852v12017
Coarrays, MUSIC, and the Cramér Rao Bound
Mianzhi Wang, Arye Nehorai
stat.AParXiv:1605.03620v22016
Stable Generalized Finite Element Method (SGFEM)
I. Babuska, U. Banerjee
math.NAarXiv:1104.0960v12011
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang, Lei Li, Christian Payer +31
cs.CVarXiv:1902.07880v12019
Structured Pruning of Large Language Models
Ziheng Wang, Jeremy Wohlwend, Tao Lei
cs.CLcs.LGstat.MLarXiv:1910.04732v22019
Cross-modality Person re-identification with Shared-Specific Feature Transfer
Yan Lu, Yue Wu, Bin Liu +4
cs.CVarXiv:2002.12489v32020
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Vladimir Feinberg, Alvin Wan, Ion Stoica +3
cs.LGcs.AIstat.MLarXiv:1803.00101v12018
Reconstruction Network for Video Captioning
Bairui Wang, Lin Ma, Wei Zhang +1
cs.CVarXiv:1803.11438v12018
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra, Gregory Valiant
cs.LGcs.DSarXiv:1004.4223v12010
Action Tubelet Detector for Spatio-Temporal Action Localization
Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari +1
cs.CVarXiv:1705.01861v32017
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn
math.OCstat.MLarXiv:1509.09259v32015
Domain-Symmetric Networks for Adversarial Domain Adaptation
Yabin Zhang, Hui Tang, Kui Jia +1
cs.CVarXiv:1904.04663v22019
Hybrid Block Diagonalization for Massive Multiuser MIMO Systems
Weiheng Ni, Xiaodai Dong
cs.ITarXiv:1504.02081v22015
Neural Cognitive Diagnosis for Intelligent Education Systems
Fei Wang, Qi Liu, Enhong Chen +5
cs.LGcs.CYstat.MLarXiv:1908.08733v32019
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe, Jason Yim, Doug Tischer +4
q-bio.BMcs.LGstat.MLarXiv:2206.04119v22022
A Proof Of The Block Model Threshold Conjecture
Elchanan Mossel, Joe Neeman, Allan Sly
math.PRcs.SIarXiv:1311.4115v42013
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan, Yurong You, Ziyan Wang +1
cs.AIcs.CVarXiv:1704.03952v42017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen +4
cs.CVcs.CRarXiv:1705.02900v12017
Direct Localization for Massive MIMO
Nil Garcia, Henk Wymeersch, Erik G. Larsson +2
cs.ITarXiv:1607.00946v12016
Knowledge-Defined Networking
Albert Mestres, Alberto Rodriguez-Natal, Josep Carner +17
cs.NIarXiv:1606.06222v22016
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell +4
cs.LGnlin.CDstat.MLarXiv:1803.04779v12018
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
cs.SEcs.LGarXiv:1812.06469v62018
An Adaptive Successive Cancellation List Decoder for Polar Codes with Cyclic Redundancy Check
Bin Li, Hui Shen, David Tse
cs.ITarXiv:1208.3091v12012
Diagnosis of diabetes using classification mining techniques
Aiswarya Iyer, S. Jeyalatha, Ronak Sumbaly
cs.CEarXiv:1502.03774v12015
NeX: Real-time View Synthesis with Neural Basis Expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai +1
cs.CVcs.GRcs.LGarXiv:2103.05606v22021
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods
Andres Sanin, Conrad Sanderson, Brian C. Lovell
cs.CVcs.ROarXiv:1304.1233v12013
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao +1
cs.AIcs.CLcs.LGarXiv:1906.00346v22019
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
cs.CLcs.LGstat.MLarXiv:1808.06640v22018
When2com: Multi-Agent Perception via Communication Graph Grouping
Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser +1
cs.CVcs.MAcs.ROarXiv:2006.00176v22020
On the Critical Coupling for Kuramoto Oscillators
Florian Dorfler, Francesco Bullo
math.DSeess.SYmath-pharXiv:1011.3878v22010
Unified Named Entity Recognition as Word-Word Relation Classification
Jingye Li, Hao Fei, Jiang Liu +5
cs.CLarXiv:2112.10070v12021
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone, Carsten Lüth, Jakob Kruse +2
cs.CVcs.LGarXiv:1907.02392v32019
Post-training Quantization on Diffusion Models
Yuzhang Shang, Zhihang Yuan, Bin Xie +2
cs.CVarXiv:2211.15736v32022
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao, Yiren Zhao, Łukasz Dudziak +2
cs.CVarXiv:1810.05331v22018
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
Xin Li, Lidong Bing, Piji Li +1
cs.CLarXiv:1811.05082v22018
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
Chao Chen, Kai Liu, Ze Chen +5
cs.CLarXiv:2402.03744v22024
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
Zak Murez, Tarrence van As, James Bartolozzi +3
cs.CVarXiv:2003.10432v32020
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
Cheng Niu, Yuanhao Wu, Juno Zhu +5
cs.CLarXiv:2401.00396v22023
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen, Houwen Peng, Jianlong Fu +1
cs.CVarXiv:2107.00651v12021
Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin +4
cs.LGarXiv:2206.08164v42022
Ghost imaging lidar via sparsity constraints
Chengqiang Zhao, Wenlin Gong, Mingliang Chen +4
physics.opticsarXiv:1203.3835v12012
Remaining Useful Lifetime Prediction via Deep Domain Adaptation
Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang +1
cs.LGstat.MLarXiv:1907.07480v12019
Software-Defined Networking: State of the Art and Research Challenges
Manar Jammal, Taranpreet Singh, Abdallah Shami +2
cs.NIarXiv:1406.0124v12014
Seeing What a GAN Cannot Generate
David Bau, Jun-Yan Zhu, Jonas Wulff +4
cs.CVcs.GRcs.LGarXiv:1910.11626v12019
Pushing the Boundaries of View Extrapolation with Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron +3
cs.CVarXiv:1905.00413v12019
Effective Long-Context Scaling of Foundation Models
Wenhan Xiong, Jingyu Liu, Igor Molybog +18
cs.CLarXiv:2309.16039v32023
A Survey of Community Search Over Big Graphs
Yixiang Fang, Xin Huang, Lu Qin +4
cs.DBarXiv:1904.12539v22019
Track Anything: Segment Anything Meets Videos
Jinyu Yang, Mingqi Gao, Zhe Li +3
cs.CVarXiv:2304.11968v22023
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese, Robert Knobloch, Ralf Korn +1
q-fin.MFcs.LGq-fin.CParXiv:1907.06673v22019
Video Compression through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
cs.CVarXiv:1804.06919v12018
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
cs.LGcs.CVstat.MLarXiv:1906.01620v32019
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
cs.LGstat.MLarXiv:1809.10816v42018
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
cs.LGcs.CGq-bio.QMarXiv:2009.12981v42020
The Vertica Analytic Database: C-Store 7 Years Later
Andrew Lamb, Matt Fuller, Ramakrishna Varadarajan +4
cs.DBarXiv:1208.4173v12012
Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs
Angelia Nedic, Alex Olshevsky
math.OCeess.SYarXiv:1406.2075v22014
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang, Zehao Xiao, Baochang Zhang +4
cs.CVarXiv:1903.00853v22019
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li +2
cs.LGarXiv:1002.4058v32010
A New Approach to Probabilistic Programming Inference
Frank Wood, Jan Willem van de Meent, Vikash Mansinghka
stat.MLcs.AIcs.PLarXiv:1507.00996v22015

Every paper with a summary

Domain-Adversarial Neural Networks

Wireless Information and Power Transfer with Full Duplex Relaying

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

Coarrays, MUSIC, and the Cramér Rao Bound

Stable Generalized Finite Element Method (SGFEM)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Structured Pruning of Large Language Models

Cross-modality Person re-identification with Shared-Specific Feature Transfer

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Reconstruction Network for Video Captioning

Settling the Polynomial Learnability of Mixtures of Gaussians

Action Tubelet Detector for Spatio-Temporal Action Localization

Distributionally Robust Logistic Regression

Domain-Symmetric Networks for Adversarial Domain Adaptation

Hybrid Block Diagonalization for Massive Multiuser MIMO Systems

Neural Cognitive Diagnosis for Intelligent Education Systems

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

A Proof Of The Block Model Threshold Conjecture

Virtual to Real Reinforcement Learning for Autonomous Driving

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

Direct Localization for Massive MIMO

Knowledge-Defined Networking

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

The Adverse Effects of Code Duplication in Machine Learning Models of Code

An Adaptive Successive Cancellation List Decoder for Polar Codes with Cyclic Redundancy Check

Diagnosis of diabetes using classification mining techniques

NeX: Real-time View Synthesis with Neural Basis Expansion

Shadow Detection: A Survey and Comparative Evaluation of Recent Methods

Pre-training of Graph Augmented Transformers for Medication Recommendation

Adversarial Removal of Demographic Attributes from Text Data

When2com: Multi-Agent Perception via Communication Graph Grouping

On the Critical Coupling for Kuramoto Oscillators

Unified Named Entity Recognition as Word-Word Relation Classification

Guided Image Generation with Conditional Invertible Neural Networks

Post-training Quantization on Diffusion Models

Dynamic Channel Pruning: Feature Boosting and Suppression

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

AutoFormer: Searching Transformers for Visual Recognition

Long Range Graph Benchmark

Ghost imaging lidar via sparsity constraints

Remaining Useful Lifetime Prediction via Deep Domain Adaptation

Software-Defined Networking: State of the Art and Research Challenges

Seeing What a GAN Cannot Generate

Pushing the Boundaries of View Extrapolation with Multiplane Images

Effective Long-Context Scaling of Foundation Models

A Survey of Community Search Over Big Graphs

Track Anything: Segment Anything Meets Videos

Quant GANs: Deep Generation of Financial Time Series

Video Compression through Image Interpolation

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Generative Adversarial Active Learning for Unsupervised Outlier Detection

Parametric UMAP embeddings for representation and semi-supervised learning

The Vertica Analytic Database: C-Store 7 Years Later

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Contextual Bandit Algorithms with Supervised Learning Guarantees

A New Approach to Probabilistic Programming Inference