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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36,721 to 36,780 of 61,393

Language Modeling Is Compression
Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne +9
cs.LGcs.AIcs.CLarXiv:2309.10668v22023
The Unfairness of Popularity Bias in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +1
cs.IRarXiv:1907.13286v32019
Fast and Simple Relational Processing of Uncertain Data
Lyublena Antova, Thomas Jansen, Christoph Koch +1
cs.DBcs.PFarXiv:0707.1644v12007
Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia, Ron J. Weiss, Fadi Biadsy +4
cs.CLcs.LGcs.SDarXiv:1904.06037v22019
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot, Colin Raffel, Aurko Roy +1
cs.LGstat.MLarXiv:1807.07543v22018
Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction
Jiarong Han, Jincheng Xiong, Yuzhou Liu +6
cs.CVarXiv:2608.27529v12026
Complexity of Linear Regions in Deep Networks
Boris Hanin, David Rolnick
stat.MLcs.LGmath.PRarXiv:1901.09021v22019
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries
Kailong Liu, Xiaosong Hu, Zhongbao Wei +2
cs.LGeess.SYarXiv:2101.00035v12020
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng +4
cs.CVarXiv:2205.09743v12022
Distributionally Robust Chance-Constrained Approximate AC-OPF with Wasserstein Metric
Chao Duan, Wanliang Fang, Lin Jiang +2
math.OCarXiv:1706.05538v22017
Xampling: Signal Acquisition and Processing in Union of Subspaces
Moshe Mishali, Yonina C. Eldar, Asaf Elron
cs.ITarXiv:0911.0519v32009
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai +3
cs.CVarXiv:1811.11187v12018
Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge
Zhuoshi Pan, Junru Lu, Yan Qian +3
cs.CLarXiv:2608.28478v12026
Broadband DOA estimation using Convolutional neural networks trained with noise signals
Soumitro Chakrabarty, Emanuël. A. P. Habets
cs.SDstat.MLarXiv:1705.00919v22017
Understanding Probabilistic Sparse Gaussian Process Approximations
Matthias Bauer, Mark van der Wilk, Carl Edward Rasmussen
stat.MLarXiv:1606.04820v22016
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
cs.LGcs.AIcs.CVarXiv:1911.10868v22019
Neural Jump Stochastic Differential Equations
Junteng Jia, Austin R. Benson
cs.LGstat.MLarXiv:1905.10403v32019
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He, Tianxiang Sun, Kuanning Wang +2
cs.CLcs.AIcs.LGarXiv:2211.15029v22022
Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev, Steven Cao, Dan Klein
cs.CLarXiv:1812.11760v22018
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion
Xin Deng, Pier Luigi Dragotti
cs.CVarXiv:1910.04066v12019
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao, Yu Wang, Sai Li +4
cs.LGarXiv:2201.00299v32022
TLDR: Extreme Summarization of Scientific Documents
Isabel Cachola, Kyle Lo, Arman Cohan +1
cs.CLarXiv:2004.15011v32020
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
Stanley Osher, Yu Mao, Bin Dong +1
math.OCcs.ITarXiv:1104.0262v12011
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan +2
cs.CLarXiv:1606.04164v12016
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Quande Liu, Qi Dou, Pheng-Ann Heng
cs.CVarXiv:2007.02035v12020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna, John Wieting, Mohit Iyyer
cs.CLarXiv:2010.05700v12020
MDFEND: Multi-domain Fake News Detection
Qiong Nan, Juan Cao, Yongchun Zhu +2
cs.CLcs.AIcs.SIarXiv:2201.00987v12022
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:2008.06460v22020
Graph spectra and the detectability of community structure in networks
Raj Rao Nadakuditi, M. E. J. Newman
cs.SIcond-mat.stat-mechphysics.soc-pharXiv:1205.1813v12012
DynIBaR: Neural Dynamic Image-Based Rendering
Zhengqi Li, Qianqian Wang, Forrester Cole +2
cs.CVarXiv:2211.11082v32022
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus, Amir Globerson, Eran Malach +1
cs.LGarXiv:1710.10174v12017
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat +4
cs.LGarXiv:2407.14435v32024
Bike Flow Prediction with Multi-Graph Convolutional Networks
Di Chai, Leye Wang, Qiang Yang
cs.LGcs.AIstat.MLarXiv:1807.10934v12018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran, Ohad Shamir
cs.LGstat.MLarXiv:1712.08968v32017
Delving Deep into Label Smoothing
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou +4
cs.CVarXiv:2011.12562v22020
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2205.10343v22022
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
cs.CVstat.MLarXiv:2010.05063v32020
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltran, Carlos Guindel, Francisco Miguel Moreno +3
cs.CVarXiv:1805.01195v12018
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
cs.IRcs.LGstat.MLarXiv:1904.12058v32019
Oriented Response Networks
Yanzhao Zhou, Qixiang Ye, Qiang Qiu +1
cs.CVarXiv:1701.01833v22017
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Jonathon Luiten, Paul Voigtlaender, Bastian Leibe
cs.CVarXiv:1807.09190v22018
Poisson multi-Bernoulli mixture filter: direct derivation and implementation
Ángel F. García-Fernández, Jason L. Williams, Karl Granström +1
cs.CVstat.MEarXiv:1703.04264v42017
The why, how, and when of representations for complex systems
Leo Torres, Ann S. Blevins, Danielle S. Bassett +1
cs.SIcs.DMq-bio.QMarXiv:2006.02870v12020
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, Enze Xie +4
cs.CVcs.AIarXiv:2310.02601v72023
Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning
Hanyang Wang, Yimo Cai, Weiliang Chen +14
cs.CVarXiv:2608.27549v12026
When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)
Angela Sara Cacciapuoti, Marcello Caleffi, Rodney Van Meter +1
quant-phcs.NIarXiv:1907.06197v22019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
eess.IVcs.LGstat.MLarXiv:1904.02816v32019
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang +2
cs.CLarXiv:1808.09040v12018
Advanced tools for smartphone-based experiments: phyphox
Sebastian Staacks, Simon Hütz, Heidrun Heinke +1
physics.ed-pharXiv:1804.06239v12018
Training Software Engineering Agents and Verifiers with SWE-Gym
Jiayi Pan, Xingyao Wang, Graham Neubig +4
cs.SEcs.CLarXiv:2412.21139v22024
On Peak versus Average Interference Power Constraints for Protecting Primary Users in Cognitive Radio Networks
Rui Zhang
cs.ITarXiv:0806.0676v22008
Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang +4
cs.CVarXiv:1903.05784v32019
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Chien-Hsiang Huang, Hung-Yu Wu, Youn-Long Lin
cs.CVarXiv:2101.07172v22021
OW-DETR: Open-world Detection Transformer
Akshita Gupta, Sanath Narayan, K J Joseph +3
cs.CVarXiv:2112.01513v32021
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee +2
cs.CVarXiv:2303.11396v12023
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng, Runxin Xu, Baobao Chang +1
cs.CLcs.AIcs.LGarXiv:2009.13752v12020
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang +3
cs.LGcs.AIcs.CVarXiv:1905.13211v42019
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu, Alexander Powers, Ron Dror +2
cs.LGq-bio.QMarXiv:2305.01140v12023
Localization and centrality in networks
Travis Martin, Xiao Zhang, M. E. J. Newman
cs.SIcond-mat.stat-mechphysics.soc-pharXiv:1401.5093v22014
Small Object Detection using Context and Attention
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon +1
cs.CVarXiv:1912.06319v22019

Every paper with a summary

Language Modeling Is Compression

The Unfairness of Popularity Bias in Recommendation

Fast and Simple Relational Processing of Uncertain Data

Direct speech-to-speech translation with a sequence-to-sequence model

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction

Complexity of Linear Regions in Deep Networks

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Distributionally Robust Chance-Constrained Approximate AC-OPF with Wasserstein Metric

Xampling: Signal Acquisition and Processing in Union of Subspaces

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

Broadband DOA estimation using Convolutional neural networks trained with noise signals

Understanding Probabilistic Sparse Gaussian Process Approximations

End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances

Neural Jump Stochastic Differential Equations

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion

Improving Out-of-Distribution Robustness via Selective Augmentation

TLDR: Extreme Summarization of Scientific Documents

Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising

Zero-Resource Translation with Multi-Lingual Neural Machine Translation

Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

Reformulating Unsupervised Style Transfer as Paraphrase Generation

MDFEND: Multi-domain Fake News Detection

Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model

Graph spectra and the detectability of community structure in networks

DynIBaR: Neural Dynamic Image-Based Rendering

SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data

Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Bike Flow Prediction with Multi-Graph Convolutional Networks

Spurious Local Minima are Common in Two-Layer ReLU Neural Networks

Delving Deep into Label Smoothing

Towards Understanding Grokking: An Effective Theory of Representation Learning

Adaptive Aggregation Networks for Class-Incremental Learning

BirdNet: a 3D Object Detection Framework from LiDAR information

Inductive Matrix Completion Based on Graph Neural Networks

Oriented Response Networks

PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation

Poisson multi-Bernoulli mixture filter: direct derivation and implementation

The why, how, and when of representations for complex systems

MagicDrive: Street View Generation with Diverse 3D Geometry Control

Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning

When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning

One-Shot Relational Learning for Knowledge Graphs

Advanced tools for smartphone-based experiments: phyphox

Training Software Engineering Agents and Verifiers with SWE-Gym

On Peak versus Average Interference Power Constraints for Protecting Primary Users in Cognitive Radio Networks

Learning Parallax Attention for Stereo Image Super-Resolution

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

OW-DETR: Open-world Detection Transformer

Text2Tex: Text-driven Texture Synthesis via Diffusion Models

Double Graph Based Reasoning for Document-level Relation Extraction

What Can Neural Networks Reason About?

Geometric Latent Diffusion Models for 3D Molecule Generation

Localization and centrality in networks

Small Object Detection using Context and Attention