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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55,981 to 56,040 of 61,351

MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang +1
cs.CVarXiv:1707.04993v22017
GeoStack: A Framework for Quasi-Abelian Knowledge Composition in VLMs
Pranav Mantini, Shishir K. Shah
cs.CVarXiv:2605.06477v12026
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou +3
cs.CVarXiv:2209.08575v12022
AI Feynman: a Physics-Inspired Method for Symbolic Regression
Silviu-Marian Udrescu, Max Tegmark
physics.comp-phcs.AIcs.LGarXiv:1905.11481v22019
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Tian Liang, Zhiwei He, Wenxiang Jiao +6
cs.CLarXiv:2305.19118v42023
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou, Aditya Khosla, Agata Lapedriza +2
cs.CVcs.NEarXiv:1412.6856v22014
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen, Thomas Pock
cs.CVarXiv:1508.02848v22015
The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
Chonghan Qin, Xiachong Feng, Ziyun Song +3
cs.AIcs.CLarXiv:2605.06196v12026
StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
Xiangyuan Xue, Yifan Zhou, Zidong Wang +5
cs.CLcs.AIarXiv:2605.06642v12026
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang, Rui Li, Ce Zhang +4
cs.CVarXiv:2109.08937v42021
TIDE: Every Layer Knows the Token Beneath the Context
Ajay Jaiswal, Lauren Hannah, Han-Byul Kim +3
cs.CLcs.AIcs.LGarXiv:2605.06216v12026
PlenOctrees for Real-time Rendering of Neural Radiance Fields
Alex Yu, Ruilong Li, Matthew Tancik +3
cs.CVcs.GRarXiv:2103.14024v22021
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
Langlin Huang, Chengsong Huang, Jinyuan Li +3
cs.AIcs.CLcs.LGarXiv:2605.05566v12026
The Secrets of Salient Object Segmentation
Yin Li, Xiaodi Hou, Christof Koch +2
cs.CVarXiv:1406.2807v22014
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang, Li Zhang, Luca Bertinetto +2
cs.CVarXiv:1812.05050v22018
Empirical Evidence for Simply Connected Decision Regions in Image Classifiers
Arjhun Swaminathan, Mete Akgün
cs.CVcs.LGarXiv:2605.06380v12026
PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
Minghao Yan, Bo Peng, Benjamin Coleman +11
cs.LGarXiv:2605.07039v12026
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba +1
cs.AIcs.LGstat.MLarXiv:2301.04104v22023
Graph U-Nets
Hongyang Gao, Shuiwang Ji
cs.LGstat.MLarXiv:1905.05178v12019
Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
Ömer Faruk Akgül, Rajgopal Kannan, Willie Neiswanger +1
cs.CLarXiv:2605.06241v22026
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Chengyi Wang, Sanyuan Chen, Yu Wu +10
cs.CLcs.SDeess.ASarXiv:2301.02111v12023
LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVcs.LGcs.MMarXiv:2605.06628v12026
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki +4
cs.LGcs.NEarXiv:1611.05397v12016
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry +2
cs.LGarXiv:1602.02830v32016
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

Every paper with a summary

MoCoGAN: Decomposing Motion and Content for Video Generation

GeoStack: A Framework for Quasi-Abelian Knowledge Composition in VLMs

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

AI Feynman: a Physics-Inspired Method for Symbolic Regression

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Object Detectors Emerge in Deep Scene CNNs

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

TIDE: Every Layer Knows the Token Beneath the Context

PlenOctrees for Real-time Rendering of Neural Radiance Fields

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration

The Secrets of Salient Object Segmentation

Fast Online Object Tracking and Segmentation: A Unifying Approach

Empirical Evidence for Simply Connected Decision Regions in Image Classifiers

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents

Mastering Diverse Domains through World Models

Graph U-Nets

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation

Reinforcement Learning with Unsupervised Auxiliary Tasks

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

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