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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37,021 to 37,080 of 61,155

The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou, Gefan Zhang +5
cs.CVcs.AIcs.LGarXiv:2201.12558v62022
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau, Úlfar Erlingsson, Petros Maniatis +7
cs.CRarXiv:1710.00901v12017
Generalized SURE for Exponential Families: Applications to Regularization
Yonina C. Eldar
stat.MEmath.STarXiv:0804.3010v22008
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
Bo He, Hengduo Li, Young Kyun Jang +5
cs.CVarXiv:2404.05726v22024
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Van-Hoang Le, Hongyu Zhang
cs.SEcs.LGarXiv:2202.04301v22022
DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
Zihao Zhang, Stefan Zohren, Stephen Roberts
q-fin.CParXiv:1808.03668v62018
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk, Dominique Beaini, Gabriele Corso +4
cs.LGcs.AIq-bio.BMarXiv:2110.04126v42021
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman +2
cs.CVarXiv:1906.07538v32019
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, Regina Barzilay
cs.CLcs.IRcs.LGarXiv:2103.08541v12021
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Yukang Zhang, Hanzi Wang
cs.CVarXiv:2303.14481v12023
Function Vectors in Large Language Models
Eric Todd, Millicent L. Li, Arnab Sen Sharma +3
cs.CLcs.LGarXiv:2310.15213v22023
Towards Debiasing Sentence Representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng +3
cs.CLcs.LGarXiv:2007.08100v12020
Weakly Supervised Instance Segmentation using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye +2
cs.CVarXiv:1804.00880v12018
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions
Licheng Yu, Hao Tan, Mohit Bansal +1
cs.CVcs.AIcs.CLarXiv:1612.09542v22016
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang, Carlo Biffi, Chen Chen +3
cs.CVarXiv:2007.09886v22020
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Soham De, Leonard Berrada, Jamie Hayes +2
cs.LGcs.CRcs.CVarXiv:2204.13650v22022
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu +3
cs.CVcs.AIcs.LGarXiv:2211.13445v12022
Inversion of spherical means and the wave equation in even dimensions
D. Finch, M. Haltmeier, Rakesh
math.AParXiv:math/0701426v12007
Superpixel Sampling Networks
Varun Jampani, Deqing Sun, Ming-Yu Liu +2
cs.CVarXiv:1807.10174v12018
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan, Clinton Fookes
stat.MLcs.LGarXiv:2006.12024v32020
Breaking the coherence barrier: A new theory for compressed sensing
Ben Adcock, Anders C. Hansen, Clarice Poon +1
cs.ITmath.NAarXiv:1302.0561v42013
Automatic Selection of Atomic Fingerprints and Reference Configurations for Machine-Learning Potentials
Giulio Imbalzano, Andrea Anelli, Daniele Giofr é +3
physics.comp-phcond-mat.mtrl-sciphysics.chem-pharXiv:1804.02150v12018
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier
Lopamudra Dey, Sanjay Chakraborty, Anuraag Biswas +2
cs.IRcs.CLarXiv:1610.09982v12016
Memory Matching Networks for One-Shot Image Recognition
Qi Cai, Yingwei Pan, Ting Yao +2
cs.CVarXiv:1804.08281v12018
Category-Specific Object Reconstruction from a Single Image
Abhishek Kar, Shubham Tulsiani, João Carreira +1
cs.CVarXiv:1411.6069v22014
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada, Rohit Mohan, Wolfram Burgard
cs.CVarXiv:1808.03833v32018
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström, Leander Weber, Dilyara Bareeva +5
cs.LGarXiv:2202.06861v32022
Active Example Selection for In-Context Learning
Yiming Zhang, Shi Feng, Chenhao Tan
cs.CLcs.AIarXiv:2211.04486v12022
Chaos Engineering
Ali Basiri, Niosha Behnam, Ruud de Rooij +4
cs.SEarXiv:1702.05843v12017
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungroh Yoon
cs.CVarXiv:2103.08896v12021
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Junjun Jiang, He Sun, Xianming Liu +1
eess.IVcs.CVcs.LGarXiv:2005.08752v22020
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas +1
cs.CLarXiv:1809.01576v22018
A statistical model for tensor PCA
Andrea Montanari, Emile Richard
cs.LGcs.ITstat.MLarXiv:1411.1076v12014
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen +4
eess.IVcs.CVarXiv:2004.01179v12020
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions
Mengdi Wang, Ethan X. Fang, Han Liu
stat.MLarXiv:1411.3803v12014
Addendum to Computational Complexity and Black Hole Horizons
Leonard Susskind
hep-thgr-qcquant-pharXiv:1403.5695v12014
Teleoperation of Humanoid Robots: A Survey
Kourosh Darvish, Luigi Penco, Joao Ramos +5
cs.ROarXiv:2301.04317v12023
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Daocheng Fu, Xin Li, Licheng Wen +4
cs.ROcs.CLarXiv:2307.07162v12023
Quantum Computing with Continuous-Variable Clusters
Mile Gu, Christian Weedbrook, Nicolas C. Menicucci +2
quant-pharXiv:0903.3233v12009
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Lars Ruthotto, Stanley Osher, Wuchen Li +2
cs.LGmath.NAmath.OCarXiv:1912.01825v32019
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu, Hussein Sibai, Evan Fabry +1
cs.CVcs.AIcs.CRarXiv:1707.03501v12017
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Liangming Pan, Michael Saxon, Wenda Xu +3
cs.CLcs.AIcs.LGarXiv:2308.03188v22023
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Shah, H. Andrew Schwartz, Dirk Hovy
cs.CLcs.AIcs.LGarXiv:1912.11078v22019
Propagation analysis and prediction of the COVID-19
Lixiang Li, Zihang Yang, Zhongkai Dang +7
q-bio.PEcs.CYarXiv:2003.06846v12020
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Enneng Yang, Li Shen, Guibing Guo +4
cs.LGcs.AIcs.CLarXiv:2408.07666v52024
Differences in Impact Factor Across Fields and Over Time
Benjamin M. Althouse, Jevin D. West, Theodore Bergstrom +1
physics.soc-pharXiv:0804.3116v12008
A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials
Zeliang Liu, C. T. Wu, M. Koishi
cs.CEphysics.comp-pharXiv:1807.09829v42018
Transfer Learning with Dynamic Distribution Adaptation
Jindong Wang, Yiqiang Chen, Wenjie Feng +3
cs.LGstat.MLarXiv:1909.08531v12019
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
Qingyun Fang, Zhaokui Wang
cs.CVcs.AIeess.IVarXiv:2112.02991v12021
What Can Help Pedestrian Detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang +1
cs.CVarXiv:1705.02757v12017
Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem
Gavin E. Crooks
quant-pharXiv:1811.08419v12018
Multi-level Wavelet Convolutional Neural Networks
Pengju Liu, Hongzhi Zhang, Wei Lian +1
cs.CVeess.IVarXiv:1907.03128v12019
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang, Denny Zhou
cs.CLarXiv:2402.10200v22024
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh, Jeff Schneider, Barnabas Poczos
stat.MLcs.NEarXiv:1702.08389v22017
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Ioannou, Duncan Robertson, Roberto Cipolla +1
cs.NEcs.CVcs.LGarXiv:1605.06489v32016
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Martin Gauch, Frederik Kratzert, Daniel Klotz +3
cs.LGphysics.ao-pharXiv:2010.07921v12020
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIarXiv:1703.00956v22017
Wireless Deep Video Semantic Transmission
Sixian Wang, Jincheng Dai, Zijian Liang +5
cs.CVcs.ITarXiv:2205.13129v22022
Explicit Knowledge-based Reasoning for Visual Question Answering
Peng Wang, Qi Wu, Chunhua Shen +2
cs.CVcs.CLarXiv:1511.02570v22015
Do Large Language Models Know What They Don't Know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo +3
cs.CLarXiv:2305.18153v22023

Every paper with a summary

The KFIoU Loss for Rotated Object Detection

Prochlo: Strong Privacy for Analytics in the Crowd

Generalized SURE for Exponential Families: Applications to Regularization

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

Log-based Anomaly Detection with Deep Learning: How Far Are We?

DeepLOB: Deep Convolutional Neural Networks for Limit Order Books

3D Infomax improves GNNs for Molecular Property Prediction

Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Function Vectors in Large Language Models

Towards Debiasing Sentence Representations

Weakly Supervised Instance Segmentation using Class Peak Response

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

Unlocking High-Accuracy Differentially Private Image Classification through Scale

Delving into Out-of-Distribution Detection with Vision-Language Representations

Inversion of spherical means and the wave equation in even dimensions

Superpixel Sampling Networks

Bayesian Neural Networks: An Introduction and Survey

Breaking the coherence barrier: A new theory for compressed sensing

Automatic Selection of Atomic Fingerprints and Reference Configurations for Machine-Learning Potentials

Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

Memory Matching Networks for One-Shot Image Recognition

Category-Specific Object Reconstruction from a Single Image

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Active Example Selection for In-Context Learning

Chaos Engineering

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Document-Level Neural Machine Translation with Hierarchical Attention Networks

A statistical model for tensor PCA

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions

Addendum to Computational Complexity and Black Hole Horizons

Teleoperation of Humanoid Robots: A Survey

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Quantum Computing with Continuous-Variable Clusters

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

Propagation analysis and prediction of the COVID-19

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Differences in Impact Factor Across Fields and Over Time

A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials

Transfer Learning with Dynamic Distribution Adaptation

Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery

What Can Help Pedestrian Detection?

Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem

Multi-level Wavelet Convolutional Neural Networks

Chain-of-Thought Reasoning Without Prompting

Equivariance Through Parameter-Sharing

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

A Laplacian Framework for Option Discovery in Reinforcement Learning

Wireless Deep Video Semantic Transmission

Explicit Knowledge-based Reasoning for Visual Question Answering

Do Large Language Models Know What They Don't Know?