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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10,501 to 10,560 of 61,344

Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao, Yulun Zhang, Tao Zhang +1
cs.CVarXiv:1810.06453v32018
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
eess.IVcs.CVcs.LGarXiv:2004.03747v32020
A Survey on Online Judge Systems and Their Applications
Szymon Wasik, Maciej Antczak, Jan Badura +2
cs.CYcs.HCarXiv:1710.05913v12017
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania +1
cs.LGarXiv:2010.11635v22020
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
Fengyu Yang, Chao Feng, Ziyang Chen +8
cs.CVcs.ROarXiv:2401.18084v12024
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo +4
cs.LGcs.CLcs.DCarXiv:2102.07988v22021
Network Enhancement: a general method to denoise weighted biological networks
Bo Wang, Armin Pourshafeie, Marinka Zitnik +4
q-bio.MNcs.LGcs.SIarXiv:1805.03327v22018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao +6
cs.LGcs.AIstat.MLarXiv:1808.01664v32018
A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
cs.DCcs.LGarXiv:1901.04359v22019
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang +4
cs.CVarXiv:2001.01050v22020
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Boyi Liu, Bingjie Yan, Yize Zhou +2
eess.IVcs.CVcs.LGarXiv:2007.05592v12020
ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1
cs.CLcs.AIarXiv:2609.04197v12026
ABC likelihood-freee methods for model choice in Gibbs random fields
Aude Grelaud, Christian Robert, Jean-Michel Marin +2
stat.COstat.MEarXiv:0807.2767v32008
ALOHA Random Access that Operates as a Rateless Code
Cedomir Stefanovic, Petar Popovski
cs.ITarXiv:1308.1503v12013
Contrastive Boundary Learning for Point Cloud Segmentation
Liyao Tang, Yibing Zhan, Zhe Chen +2
cs.CVarXiv:2203.05272v22022
Constrained Allocation Flux Balance Analysis
Matteo Mori, Terence Hwa, Olivier C. Martin +2
q-bio.MNcond-mat.dis-nnphysics.bio-pharXiv:1607.00128v12016
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
Yair Weiss, Chen Yanover, Talya Meltzer
cs.AIcs.LGstat.MLarXiv:1206.5286v12012
Projective simulation for artificial intelligence
Hans J. Briegel, Gemma De las Cuevas
nlin.AOcond-mat.dis-nnquant-pharXiv:1104.3787v32011
Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views
Joseph Lee, Yidi Huang, Dokyoon Kim +2
cs.CLcs.AIarXiv:2609.04180v12026
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Mark A. Davenport, Jason N. Laska, John R. Treichler +1
cs.ITarXiv:1104.4842v42011
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
Hui Ma, Jian Wang, Hongfei Lin +3
cs.AIcs.MMarXiv:2310.20494v12023
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14
cs.NEcs.LGmath.NAarXiv:1802.00930v22018
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar +1
cs.LGstat.MLarXiv:1902.02302v42019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Francis Song, Edward Hughes +5
cs.MAcs.AIcs.LGarXiv:1811.01458v32018
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Moming Duan, Duo Liu, Xinyuan Ji +4
cs.LGcs.DCarXiv:2108.09749v12021
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li, Yu Rong, Hong Cheng +3
cs.CVcs.LGarXiv:1904.05003v12019
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni +2
cs.CVarXiv:2304.12439v12023
SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center
Uday Vallabhaneni, Cassie L. Cagwin, David J. Wild
cs.CRcs.AIarXiv:2609.04159v12026
PU Learning for Matrix Completion
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
cs.LGmath.NAstat.MLarXiv:1411.6081v12014
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo
Iker Zamora, Nestor Gonzalez Lopez, Victor Mayoral Vilches +1
cs.ROarXiv:1608.05742v22016
Deep Network Guided Proof Search
Sarah Loos, Geoffrey Irving, Christian Szegedy +1
cs.AIcs.LGcs.LOarXiv:1701.06972v12017
A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle
Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George Zipperer
cs.LGcs.AIcs.ROarXiv:2609.04147v12026
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau, Felix Hill, Jan Leike +4
cs.AIcs.LGarXiv:1806.01946v42018
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
Abdulaziz M. Alayba, Vasile Palade, Matthew England +1
cs.CLarXiv:1807.02911v32018
How Do Classifiers Induce Agents To Invest Effort Strategically?
Jon Kleinberg, Manish Raghavan
cs.LGcs.CYcs.DSarXiv:1807.05307v52018
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
cs.LGcs.AIstat.MLarXiv:2009.01721v22020
Virtualization of 5G Cellular Networks as a Hierarchical Combinatorial Auction
Kun Zhu, Ekram Hossain
cs.GTcs.NIarXiv:1511.08256v12015
Who is GPT-3? An Exploration of Personality, Values and Demographics
Marilù Miotto, Nicola Rossberg, Bennett Kleinberg
cs.CLarXiv:2209.14338v22022
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu +1
cs.AIarXiv:1811.00090v42018
SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models
Cheng Yin, Wang Xu, Junpeng Yang +8
cs.CVcs.LGcs.ROarXiv:2609.05533v12026
Federated Unsupervised Representation Learning
Fengda Zhang, Kun Kuang, Zhaoyang You +6
cs.LGcs.AIarXiv:2010.08982v12020
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji +3
cs.LGcs.AIcs.CVarXiv:2101.08482v22021
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han, Lixian Zhang, Jun Wang +1
cs.ROcs.LGeess.SYarXiv:2004.14288v32020
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
Xiaoyu Shi, Zhaoyang Huang, Dasong Li +6
cs.CVarXiv:2303.01237v12023
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator
Hossein Ziaei Nafchi, Atena Shahkolaei, Rachid Hedjam +1
cs.CVarXiv:1608.07433v42016
An Efficient Inexact Symmetric Gauss-Seidel Based Majorized ADMM for High-Dimensional Convex Composite Conic Programming
Liang Chen, Defeng Sun, Kim-Chuan Toh
math.OCarXiv:1506.00741v22015
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko
cs.CVcs.LGarXiv:1703.08961v22017
Deep Model Intellectual Property Protection via Deep Watermarking
Jie Zhang, Dongdong Chen, Jing Liao +4
cs.CVcs.CRarXiv:2103.04980v12021
Representational alignment yields generalizable safety in language models
Lingyu Li, Yan Teng, Yingchun Wang +1
cs.CLcs.AIarXiv:2609.04022v12026
Deep Attentive Tracking via Reciprocative Learning
Shi Pu, Yibing Song, Chao Ma +2
cs.CVarXiv:1810.03851v22018
TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models
Mehedi Hasan, Ashfak Yeafi, Md Khairul Islam
cs.CVcs.AIarXiv:2609.04071v12026
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis, George J. Pappas
cs.LGeess.SYmath.OCarXiv:1903.09122v12019
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim, Yihan Jiang, Sreeram Kannan +2
cs.LGcs.ITstat.MLarXiv:1807.00801v12018
A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil +2
eess.SPeess.IVarXiv:2009.04402v12020
RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
cs.LGmath.OCstat.MLarXiv:1401.7625v12014
Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation
Hasan Alkhder, Mohammad Abboush, Igor Tchappi +2
cs.CLcs.AIarXiv:2609.04048v12026
Codimensional Incremental Potential Contact
Minchen Li, Danny M. Kaufman, Chenfanfu Jiang
cs.GRarXiv:2012.04457v32020
Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
Giacomo Rizzieri, Saif-Ur-Rehman, Jörg F. Unger +1
cs.CEcs.AIcs.LGarXiv:2609.04028v12026
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Jieshan Chen, Mulong Xie, Zhenchang Xing +4
cs.CVcs.HCcs.LGarXiv:2008.05132v22020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang, Gaoyuan Zhang, Sijia Liu +3
cs.LGcs.CRstat.MLarXiv:2007.15802v12020

Every paper with a summary

Channel Splitting Network for Single MR Image Super-Resolution

COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches

A Survey on Online Judge Systems and Their Applications

Continual Learning in Low-rank Orthogonal Subspaces

Binding Touch to Everything: Learning Unified Multimodal Tactile Representations

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models

Network Enhancement: a general method to denoise weighted biological networks

Structured Adversarial Attack: Towards General Implementation and Better Interpretability

A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks

Discrimination-aware Network Pruning for Deep Model Compression

Experiments of Federated Learning for COVID-19 Chest X-ray Images

ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

ABC likelihood-freee methods for model choice in Gibbs random fields

ALOHA Random Access that Operates as a Rateless Code

Contrastive Boundary Learning for Point Cloud Segmentation

Constrained Allocation Flux Balance Analysis

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies

Projective simulation for artificial intelligence

Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Neural Network Attributions: A Causal Perspective

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

TextMesh: Generation of Realistic 3D Meshes From Text Prompts

SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

PU Learning for Matrix Completion

Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo

Deep Network Guided Proof Search

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

Learning to Understand Goal Specifications by Modelling Reward

A Combined CNN and LSTM Model for Arabic Sentiment Analysis

How Do Classifiers Induce Agents To Invest Effort Strategically?

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints

Virtualization of 5G Cellular Networks as a Hierarchical Combinatorial Auction

Who is GPT-3? An Exploration of Personality, Values and Demographics

SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

Federated Unsupervised Representation Learning

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator

An Efficient Inexact Symmetric Gauss-Seidel Based Majorized ADMM for High-Dimensional Convex Composite Conic Programming

Scaling the Scattering Transform: Deep Hybrid Networks

Deep Model Intellectual Property Protection via Deep Watermarking

Representational alignment yields generalizable safety in language models

Deep Attentive Tracking via Reciprocative Learning

TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models

Finite Sample Analysis of Stochastic System Identification

Deepcode: Feedback Codes via Deep Learning

A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram

RES: Regularized Stochastic BFGS Algorithm

Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation

Codimensional Incremental Potential Contact

Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases