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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44,461 to 44,520 of 61,393

Deep representation learning for human motion prediction and classification
Judith Bütepage, Michael Black, Danica Kragic +1
cs.CVarXiv:1702.07486v22017
Towards a Neural Statistician
Harrison Edwards, Amos Storkey
stat.MLcs.LGarXiv:1606.02185v22016
Is feature selection secure against training data poisoning?
Huang Xiao, Battista Biggio, Gavin Brown +3
cs.LGcs.CRcs.GTarXiv:1804.07933v12018
Scale-uniform inverse inequalities for scaled kernel spaces
Davoud Mirzaei
math.NAmath.APmath.FAarXiv:2608.26945v12026
A Simple Design of IRS-NOMA Transmission
Z. Ding, H. V. Poor
cs.ITeess.SParXiv:1907.09918v22019
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang +7
cs.CVarXiv:2311.06214v22023
Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection
Xiang Wang, Zhijun Cheng, Zhenyu Meng
cs.AIarXiv:2608.27144v12026
Deep Learning of Vortex Induced Vibrations
Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1
physics.flu-dyncs.CEcs.LGarXiv:1808.08952v12018
Training of photonic neural networks through in situ backpropagation
Tyler W. Hughes, Momchil Minkov, Yu Shi +1
physics.opticscs.LGcs.NEarXiv:1805.09943v12018
Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts
Michelle Dutoit, Baptiste Caramiaux
cs.HCarXiv:2608.26980v12026
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Torsten Sattler, Qunjie Zhou, Marc Pollefeys +1
cs.CVarXiv:1903.07504v12019
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
cs.CYcs.LGeess.SParXiv:2007.03051v12020
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Hui Li, Tianyang Xu, Xiao-Jun Wu +2
cs.CVarXiv:2304.05172v22023
Quantum coherence and geometric quantum discord
Ming-Liang Hu, Xueyuan Hu, Jie-Ci Wang +3
quant-pharXiv:1703.01852v32017
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran, Tomer Wolfson, Ori Ram +1
cs.CLcs.AIarXiv:2310.01558v22023
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
Wenxuan Zhang, Xin Li, Yang Deng +2
cs.CLarXiv:2203.01054v22022
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael Dennis, Cody Wild +3
cs.LGcs.AIcs.CRarXiv:1905.10615v32019
Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation
Wendong Li, Jochen Garcke
cs.LGarXiv:2608.27158v12026
A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion
Tan Bui-Thanh, Omar Ghattas, James Martin +1
math.NAmath.OCstat.COarXiv:1308.1313v12013
Kernel and Rich Regimes in Overparametrized Models
Blake Woodworth, Suriya Gunasekar, Jason D. Lee +5
cs.LGstat.MLarXiv:2002.09277v32020
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski, Michael Auli
cs.CLarXiv:1809.10853v32018
Semi-parametric Topological Memory for Navigation
Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
cs.LGcs.AIcs.CVarXiv:1803.00653v12018
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen +2
cs.CVcs.CLcs.IRarXiv:2103.01913v22021
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker, Ilge Akkaya, Peter Zhokhov +6
cs.LGcs.AIarXiv:2206.11795v12022
Beyond One-hot Encoding: lower dimensional target embedding
Pau Rodríguez, Miguel A. Bautista, Jordi Gonzàlez +1
cs.CVcs.AIarXiv:1806.10805v12018
Deep Reinforcement Learning for Page-wise Recommendations
Xiangyu Zhao, Long Xia, Liang Zhang +3
cs.IRarXiv:1805.02343v22018
No New-Net
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick +2
cs.CVarXiv:1809.10483v22018
User Perceptions of Smart Home IoT Privacy
Serena Zheng, Noah Apthorpe, Marshini Chetty +1
cs.HCarXiv:1802.08182v22018
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
Yunlong Lu, Xiaohong Huang, Ke Zhang +2
cs.LGarXiv:2011.09902v12020
Why not to use the Gaussian kernel
Toni Karvonen, Chris J. Oates
stat.MLcs.LGmath.NAarXiv:2608.26974v12026
SURF: Improving classifiers in production by learning from busy and noisy end users
Joshua Lockhart, Samuel Assefa, Ayham Alajdad +3
cs.LGarXiv:2010.05852v12020
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Dongchao Yang, Jianwei Yu, Helin Wang +4
cs.SDcs.AIeess.ASarXiv:2207.09983v22022
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou, Yicong Hong, Qi Wu
cs.CVcs.AIcs.CLarXiv:2305.16986v32023
Formalizing and Benchmarking Prompt Injection Attacks and Defenses
Yupei Liu, Yuqi Jia, Runpeng Geng +2
cs.CRcs.AIcs.CLarXiv:2310.12815v52023
Video Pixel Networks
Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan +4
cs.CVcs.LGarXiv:1610.00527v12016
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey
D. K. Prasad, D. Rajan, L. Rachmawati +2
cs.CVarXiv:1611.05842v12016
Reconstructing Humans and Objects in Interaction using Large Reconstruction Models
Agniv Chatterjee, Georgios Pavlakos
cs.CVarXiv:2608.27407v12026
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich, Edward Meeds, Max Welling
stat.MLcs.LGarXiv:1702.04008v22017
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
Holger Schwenk, Vishrav Chaudhary, Shuo Sun +2
cs.CLarXiv:1907.05791v22019
LAAF: A Layered Accountability Architecture Framework for LLM Applications
Prachi Chaturvedi, Shahnawaz Ahmad, Ehsan Nowroozi +5
cs.AIcs.CRarXiv:2608.27102v12026
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng, Li Dong, Hangbo Bao +2
cs.CVarXiv:2208.06366v22022
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Weijie Liu, Peng Zhou, Zhe Zhao +3
cs.CLarXiv:2004.02178v22020
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
cs.CVcs.LGstat.MLarXiv:1905.05393v12019
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
Henry Corrigan-Gibbs, Dan Boneh
cs.CRarXiv:1703.06255v12017
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović +3
cs.CVcs.LGarXiv:1810.10510v22018
Thomson: Continual Learning of Frontier Models for SovereignAI
Shengzhuang Chen, Jerrod Parker, Yejin Bang +23
cs.AIarXiv:2608.27147v12026
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu, Rong Jin, Sen Yang
math.OCcs.LGarXiv:1905.03817v12019
Empath: Understanding Topic Signals in Large-Scale Text
Ethan Fast, Binbin Chen, Michael Bernstein
cs.CLcs.AIarXiv:1602.06979v12016
Key-Value Retrieval Networks for Task-Oriented Dialogue
Mihail Eric, Christopher D. Manning
cs.CLarXiv:1705.05414v22017
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Xiwei Hu, Rui Wang, Yixiao Fang +3
cs.CVarXiv:2403.05135v12024
Enzyme-Based Logic Systems for Information Processing
Evgeny Katz, Vladimir Privman
physics.bio-phcond-mat.softq-bio.MNarXiv:0910.0270v12009
Radio Imaging and Resource Allocation in Frugal Multistatic D-MIMO ISAC Systems
Sauradeep Dey, Musa Furkan Keskin, Dario Tagliaferri +2
eess.SParXiv:2608.27041v12026
Imaging with a small number of photons
Peter A. Morris, Reuben S. Aspden, Jessica Bell +2
physics.opticsarXiv:1408.6381v12014
Model-Driven Deep Learning for Physical Layer Communications
Hengtao He, Shi Jin, Chao-Kai Wen +3
cs.ITcs.LGarXiv:1809.06059v22018
Simultaneous Information and Power Transfer for Broadband Wireless Systems
Kaibin Huang, Erik G. Larsson
cs.ITarXiv:1211.6868v32012
Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations
Leon Ranke, Wolfgang Hübner, Ronny Hug +2
cs.CVcs.AIcs.LGarXiv:2608.27066v12026
Application of Smart Antenna Technologies in Simultaneous Wireless Information and Power Transfer
Zhiguo Ding, Caijun Zhong, Derrick Wing Kwan Ng +4
cs.ITarXiv:1412.1712v12014
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4
eess.IVcs.CVcs.LGarXiv:2004.07054v32020
Fast Point R-CNN
Yilun Chen, Shu Liu, Xiaoyong Shen +1
cs.CVarXiv:1908.02990v22019
Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia +3
cs.IRarXiv:2203.15876v22022

Every paper with a summary

Deep representation learning for human motion prediction and classification

Towards a Neural Statistician

Is feature selection secure against training data poisoning?

Scale-uniform inverse inequalities for scaled kernel spaces

A Simple Design of IRS-NOMA Transmission

Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection

Deep Learning of Vortex Induced Vibrations

Training of photonic neural networks through in situ backpropagation

Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images

Quantum coherence and geometric quantum discord

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Adversarial Policies: Attacking Deep Reinforcement Learning

Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation

A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion

Kernel and Rich Regimes in Overparametrized Models

Adaptive Input Representations for Neural Language Modeling

Semi-parametric Topological Memory for Navigation

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Beyond One-hot Encoding: lower dimensional target embedding

Deep Reinforcement Learning for Page-wise Recommendations

No New-Net

User Perceptions of Smart Home IoT Privacy

Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks

Why not to use the Gaussian kernel

SURF: Improving classifiers in production by learning from busy and noisy end users

Diffsound: Discrete Diffusion Model for Text-to-sound Generation

NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models

Formalizing and Benchmarking Prompt Injection Attacks and Defenses

Video Pixel Networks

Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey

Reconstructing Humans and Objects in Interaction using Large Reconstruction Models

Soft Weight-Sharing for Neural Network Compression

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

LAAF: A Layered Accountability Architecture Framework for LLM Applications

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

FastBERT: a Self-distilling BERT with Adaptive Inference Time

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

Prio: Private, Robust, and Scalable Computation of Aggregate Statistics

Neighbourhood Consensus Networks

Thomson: Continual Learning of Frontier Models for SovereignAI

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

Empath: Understanding Topic Signals in Large-Scale Text

Key-Value Retrieval Networks for Task-Oriented Dialogue

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Enzyme-Based Logic Systems for Information Processing

Radio Imaging and Resource Allocation in Frugal Multistatic D-MIMO ISAC Systems

Imaging with a small number of photons

Model-Driven Deep Learning for Physical Layer Communications

Simultaneous Information and Power Transfer for Broadband Wireless Systems

Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations

Application of Smart Antenna Technologies in Simultaneous Wireless Information and Power Transfer

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Fast Point R-CNN

Self-Supervised Learning for Recommender Systems: A Survey