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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55,861 to 55,920 of 61,207

Uncovering Entity Identity Confusion in Multimodal Knowledge Editing
Shu Wu, Xiaotian Ye, Xinyu Mou +3
cs.CLcs.CVarXiv:2605.06096v12026
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu, George Tucker +1
cs.LGstat.MLarXiv:1906.00949v22019
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner, Joel Grus, Mark Neumann +6
cs.CLarXiv:1803.07640v22018
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Kawin Ethayarajh
cs.CLarXiv:1909.00512v12019
Why we (usually) don't have to worry about multiple comparisons
Andrew Gelman, Jennifer Hill, Masanao Yajima
stat.APstat.MEarXiv:0907.2478v12009
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel, Jasjeet S. Sekhon, Peter J. Bickel +1
math.STstat.MEarXiv:1706.03461v62017
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM
Deepak Narayanan, Mohammad Shoeybi, Jared Casper +9
cs.CLcs.DCarXiv:2104.04473v52021
Deep Learning based Recommender System: A Survey and New Perspectives
Shuai Zhang, Lina Yao, Aixin Sun +1
cs.IRarXiv:1707.07435v72017
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner, Yilun Du, Joshua B. Tenenbaum +1
cs.LGcs.AIarXiv:2205.09991v22022
Model-Driven Development of Complex Software: A Research Roadmap
Robert France, Bernhard Rumpe
cs.SEarXiv:1409.6620v12014
Visual Saliency Based on Multiscale Deep Features
Guanbin Li, Yizhou Yu
cs.CVarXiv:1503.08663v32015
Language-agnostic BERT Sentence Embedding
Fangxiaoyu Feng, Yinfei Yang, Daniel Cer +2
cs.CLarXiv:2007.01852v22020
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat, Christopher D. Manning
cs.CLcs.NEarXiv:1611.01734v32016
A Survey on Object Detection in Optical Remote Sensing Images
Gong Cheng, Junwei Han
cs.CVarXiv:1603.06201v22016
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi +3
cs.CLarXiv:1903.00161v22019
Universally Sloppy Parameter Sensitivities in Systems Biology
Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal P. Casey +3
q-bio.QMq-bio.MNarXiv:q-bio/0701039v32007
Learning Sparse Neural Networks through $L_0$ Regularization
Christos Louizos, Max Welling, Diederik P. Kingma
stat.MLcs.LGarXiv:1712.01312v22017
Adversarially Learned Inference
Vincent Dumoulin, Ishmael Belghazi, Ben Poole +4
stat.MLcs.LGarXiv:1606.00704v32016
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu, Zhi Tian, Yuqing Wang +5
cs.CVcs.AIcs.LGarXiv:2104.13840v42021
Quantifying Attention Flow in Transformers
Samira Abnar, Willem Zuidema
cs.LGcs.AIcs.CLarXiv:2005.00928v22020
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, Jaewoo Kang
cs.LGstat.MLarXiv:1904.08082v42019
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill, Roi Reichart, Anna Korhonen
cs.CLarXiv:1408.3456v12014
Learning Discriminative Model Prediction for Tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool +1
cs.CVarXiv:1904.07220v22019
FastText.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski +3
cs.CLcs.LGarXiv:1612.03651v12016
Mind2Web: Towards a Generalist Agent for the Web
Xiang Deng, Yu Gu, Boyuan Zheng +5
cs.CLarXiv:2306.06070v32023
API design for machine learning software: experiences from the scikit-learn project
Lars Buitinck, Gilles Louppe, Mathieu Blondel +12
cs.LGcs.MSarXiv:1309.0238v12013
The Option-Critic Architecture
Pierre-Luc Bacon, Jean Harb, Doina Precup
cs.AIarXiv:1609.05140v22016
ATOM: Accurate Tracking by Overlap Maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan +1
cs.CVarXiv:1811.07628v22018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer, Mitchell Stern
cs.LGcs.AIstat.MLarXiv:1804.04235v12018
Atlas: Few-shot Learning with Retrieval Augmented Language Models
Gautier Izacard, Patrick Lewis, Maria Lomeli +7
cs.CLarXiv:2208.03299v32022
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
Oded Regev
cs.CRcs.CCquant-pharXiv:2401.03703v12024
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati, Feifei Zhai, Bowen Zhou
cs.CLarXiv:1611.04230v12016
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim +2
cs.CVarXiv:1802.05384v32018
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang, Yidong Wang, Wenxin Hou +4
cs.LGcs.CVarXiv:2110.08263v32021
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
cs.CVarXiv:1807.09536v22018
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli +1
cs.LGcs.DCmath.OCarXiv:1802.04434v32018
Simultaneous Detection and Segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick +1
cs.CVarXiv:1407.1808v12014
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press, Noah A. Smith, Mike Lewis
cs.CLarXiv:2108.12409v22021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas +5
cs.CVarXiv:2012.07177v22020
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski +2
cs.CLarXiv:1712.09405v12017
The Zwicky Transient Facility: System Overview, Performance, and First Results
Eric C. Bellm, Shrinivas R. Kulkarni, Matthew J. Graham +113
astro-ph.IMarXiv:1902.01932v12019
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang +2
cs.CVarXiv:1711.11575v22017
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola +9
cs.CVcs.CLarXiv:1411.4952v32014
Learning to Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee +7
cs.LGcs.CVarXiv:2112.08654v22021
Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou, Na Mou, Ying Fan +5
stat.MLcs.IRcs.LGarXiv:1809.03672v52018
Social networks that matter: Twitter under the microscope
Bernardo A. Huberman, Daniel M. Romero, Fang Wu
cs.CYphysics.soc-pharXiv:0812.1045v12008
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen +1
cs.CLarXiv:1901.11504v22019
Understanding the limits of LoRaWAN
Ferran Adelantado, Xavier Vilajosana, Pere Tuset-Peiro +3
cs.NIarXiv:1607.08011v22016
A Survey on Gas Sensing Technology
Xiao Liu, Sitian Cheng, Hong Liu +3
physics.ins-detarXiv:1305.7427v12013
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang, Yang song, Thomas Leung +5
cs.CVarXiv:1404.4661v12014
Fast Byte Latent Transformer
Julie Kallini, Artidoro Pagnoni, Tomasz Limisiewicz +5
cs.CLcs.AIcs.LGarXiv:2605.08044v12026
Going deeper with Image Transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles +2
cs.CVarXiv:2103.17239v22021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
Few-Shot Learning with Graph Neural Networks
Victor Garcia, Joan Bruna
stat.MLcs.LGarXiv:1711.04043v32017
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani +3
cs.CVarXiv:1906.05909v12019
code2vec: Learning Distributed Representations of Code
Uri Alon, Meital Zilberstein, Omer Levy +1
cs.LGcs.AIcs.PLarXiv:1803.09473v52018
A tale of two databases: The use of Web of Science and Scopus in academic papers
Junwen Zhu, Weishu Liu
cs.DLarXiv:2002.02608v12020
A quantile-based g-computation approach to addressing the effects of exposure mixtures
Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien +3
stat.MEarXiv:1902.04200v42019
Do not copy and paste! Rewriting strategies for code retrieval
Andrea Gurioli, Federico Pennino, Maurizio Gabbrielli
cs.SEcs.AIarXiv:2605.08299v12026
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li +1
cs.CLcs.LGcs.NEarXiv:1503.03244v12015

Every paper with a summary

Uncovering Entity Identity Confusion in Multimodal Knowledge Editing

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

AllenNLP: A Deep Semantic Natural Language Processing Platform

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Why we (usually) don't have to worry about multiple comparisons

Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Deep Learning based Recommender System: A Survey and New Perspectives

Planning with Diffusion for Flexible Behavior Synthesis

Model-Driven Development of Complex Software: A Research Roadmap

Visual Saliency Based on Multiscale Deep Features

Language-agnostic BERT Sentence Embedding

Deep Biaffine Attention for Neural Dependency Parsing

A Survey on Object Detection in Optical Remote Sensing Images

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Universally Sloppy Parameter Sensitivities in Systems Biology

Learning Sparse Neural Networks through $L_0$ Regularization

Adversarially Learned Inference

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Quantifying Attention Flow in Transformers

Self-Attention Graph Pooling

SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation

Learning Discriminative Model Prediction for Tracking

FastText.zip: Compressing text classification models

Mind2Web: Towards a Generalist Agent for the Web

API design for machine learning software: experiences from the scikit-learn project

The Option-Critic Architecture

ATOM: Accurate Tracking by Overlap Maximization

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Atlas: Few-shot Learning with Retrieval Augmented Language Models

On Lattices, Learning with Errors, Random Linear Codes, and Cryptography

SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

End-to-End Incremental Learning

signSGD: Compressed Optimisation for Non-Convex Problems

Simultaneous Detection and Segmentation

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Advances in Pre-Training Distributed Word Representations

The Zwicky Transient Facility: System Overview, Performance, and First Results

Relation Networks for Object Detection

From Captions to Visual Concepts and Back

Learning to Prompt for Continual Learning

Deep Interest Evolution Network for Click-Through Rate Prediction

Social networks that matter: Twitter under the microscope

Multi-Task Deep Neural Networks for Natural Language Understanding

Understanding the limits of LoRaWAN

A Survey on Gas Sensing Technology

Learning Fine-grained Image Similarity with Deep Ranking

Fast Byte Latent Transformer

Going deeper with Image Transformers

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Few-Shot Learning with Graph Neural Networks

Stand-Alone Self-Attention in Vision Models

code2vec: Learning Distributed Representations of Code

A tale of two databases: The use of Web of Science and Scopus in academic papers

A quantile-based g-computation approach to addressing the effects of exposure mixtures

Do not copy and paste! Rewriting strategies for code retrieval

Convolutional Neural Network Architectures for Matching Natural Language Sentences