arXiv Daily
@Arxiv_Daily
Followers
47,828
Following
2,122
Media
12
Statuses
35,908
Daily feed of this week's top research articles published to . AI Research Papers, Curated by @DeepAI
San Francisco Bay Area
Joined December 2017
Don't wanna be here?
Send us removal request.
Explore trending content on Musk Viewer
Kendrick
• 2483562 Tweets
Madonna
• 1143682 Tweets
Sant Rampal Ji Maharaj
• 346320 Tweets
어린이날
• 264285 Tweets
こどもの日
• 246405 Tweets
Not Like Us
• 241185 Tweets
#अविनाशी_परमात्मा_कबीर
• 219670 Tweets
Canelo
• 211913 Tweets
Copacabana
• 197928 Tweets
Anitta
• 143637 Tweets
Pabllo
• 115435 Tweets
Toronto
• 91800 Tweets
#UFC301
• 77521 Tweets
子供の日
• 69243 Tweets
Anthony Edwards
• 67900 Tweets
フォーエバーヤング
• 67877 Tweets
Leafs
• 65643 Tweets
鯉のぼり
• 62537 Tweets
Michael Jackson
• 50314 Tweets
Itaú
• 45287 Tweets
Bruins
• 42447 Tweets
Aldo
• 38409 Tweets
端午の節句
• 34511 Tweets
Pasta
• 34394 Tweets
Katt Williams
• 32148 Tweets
DONBELLE ASAPriceless ENDING
• 32007 Tweets
Pantoja
• 30787 Tweets
Erceg
• 28865 Tweets
Like a Prayer
• 28568 Tweets
#Mile1stSoloConcert
• 23641 Tweets
Hung Up
• 22792 Tweets
Matthews
• 15488 Tweets
Pinned Tweet
I GOT THE BLUE CHECK
Party 🎊
11
Post more papers📚
37
1
1
4
Deep Learning Reproducibility and Explainable AI (XAI)
by A. -M. Leventi-Peetz et al.
#NeuralNetwork
#DeepLearning
2
103
409
The week's most popular research papers in
#AI
,
#DataScience
,
#MachineLearning
, and
#ComputerVision
- delivered straight to your inbox every Saturday.
16
123
391
Accelerating Deep Learning by Focusing on the Biggest Losers
by Angela H. Jiang et al. including
@zacharylipton
#Backpropagation
#NeuralNetwork
4
84
356
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
by David Ahmedt-Aristizabal et al.
#MachineLearning
#DeepLearning
2
90
302
Self-supervised Learning from 100 Million Medical Images
by Florin C. Ghesu et al.
#ArtificialIntelligence
#SupervisedLearning
2
71
210
Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems
by Ping Guo et al.
#Moment
#PartialDifferentialEquation
1
58
197
PyTorchVideo: A Deep Learning Library for Video Understanding
by Haoqi Fan et al. including
@tulliemurrell
#OpenSource
#PyTorch
0
28
161
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
by
@DSoydaner
#MachineLearning
#NeuralNetwork
0
45
160
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
by
@mmbronstein
et al.
#ComputerVision
#DataScience
0
33
150
A Survey of the State of Explainable AI for Natural Language Processing
by Marina Danilevsky et al.
#NaturalLanguageProcessing
#Computation
0
50
148
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
by Yehuda Dar et al.
#NeuralNetwork
#MachineLearning
0
40
148
Hands-on Bayesian Neural Networks – a Tutorial for Deep Learning Users
by Laurent Valentin Jospin et al.
#NeuralNetwork
#BayesianStatistics
0
50
138
A Practical Guide to Graph Neural Networks
by Isaac Ronald Ward et al.
#ArtificialIntelligence
#NeuralNetwork
2
58
132
The Computational Limits of Deep Learning
by Neil C. Thompson et al.
#DeepLearning
#MachineLearning
1
73
131
Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing
by Ioannis Kakogeorgiou et al.
#ArtificialIntelligence
#DeepLearning
3
34
128
Visualizing and Understanding Self-Supervised Vision Learning
by Fawaz Sammani et al.
#ArtificialIntelligence
#EvaluationMetrics
2
43
124
DoubleML – An Object-Oriented Implementation of Double Machine Learning in Python
by Philipp Bach et al.
#MachineLearning
#OpenSource
2
43
122
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
by Savannah Thais et al. including
@SanmayGanguly
#NeuralNetwork
#MachineLearning
0
52
122
Heterogeneous Graph Representation Learning with Relation Awareness
by Le Yu et al.
#NeuralNetwork
#ComputerScience
0
34
119
Learning Invariant Weights in Neural Networks
by Tycho F. A. van der Ouderaa et al.
#NeuralNetwork
#ConvolutionalNeuralNetwork
0
24
118
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
by Hao Xu et al.
#Neurons
#Probability
1
26
117
Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience
by David McCaffary
#StochasticGradientDescent
#MachineLearning
1
34
119
Explainable AI: current status and future directions
by Prashant Gohel et al.
#ArtificialIntelligence
#ComputerScience
3
24
119
Diffusion Models: A Comprehensive Survey of Methods and Applications
by
@LingYang_PKU
et al.
#ComputerVision
#EnergybasedModels
5
38
116
Fourier Neural Operator for Parametric Partial Differential Equations
by Zongyi Li et al. including
@AnimaAnandkumar
#NeuralNetwork
#PartialDifferentialEquation
1
35
117
Multimodal Image Synthesis and Editing: A Survey
by Fangneng Zhan et al.
#GenerativeAdversarialNetwork
#DeepLearning
2
29
115
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks
by Tarek Faycal et al.
#ReinforcementLearning
#NeuralNetwork
1
26
113
The Topological BERT: Transforming Attention into Topology for Natural Language Processing
by Ilan Perez et al.
#NaturalLanguageProcessing
#Classifier
0
24
114
Topology and geometry of data manifold in deep learning
by German Magai et al.
#ConvolutionalNeuralNetwork
#NeuralNetwork
0
32
106
A Bayesian neural network predicts the dissolution of compact planetary systems
by Miles Cranmer et al.
#OpenSource
#MachineLearning
1
37
108
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
by Sheldon Fung et al.
#UnsupervisedLearning
#DeepLearning
1
38
106
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
by You-Wei Luo et al.
#MachineLearning
#Statistics
0
28
105
An interpretation of the final fully connected layer
by Siddhartha
#SupervisedLearning
#NeuralNetwork
1
20
104
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
by
@MartinPawelczyk
et al.
#MachineLearning
#OpenSource
0
26
103
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
by Weinan E et al.
#NeuralNetwork
#MachineLearning
0
46
102
Gradients as a Measure of Uncertainty in Neural Networks
by Jinsol Lee et al.
#Backpropagation
#NeuralNetwork
1
25
100
What Do We Maximize in Self-Supervised Learning?
by Ravid Shwartz-Ziv,
@randall_balestr
, and
@ylecun
#TransferLearning
#SupervisedLearning
1
22
100
TorchGeo: deep learning with geospatial data
by Adam J. Stewart et al.
#Variance
#DeepLearning
1
24
94
A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection
by Fahim Belal Mahmud et al. including
@kishormorol
#MachineLearning
#DeepLearning
0
29
96
Towards Understanding Grokking: An Effective Theory of Representation Learning
by Ziming Liu et al. including
@RetroFlux_CN
#DeepLearning
#Hyperparameter
0
18
97
Cause and Effect: Concept-based Explanation of Neural Networks
by Mohammad Nokhbeh Zaeem et al.
#Neurons
#NeuralNetwork
0
15
90
Identifying Exoplanets with Machine Learning Methods: A Preliminary Study
by Yucheng Jin et al.
#UnsupervisedLearning
#KMeans
0
26
93
Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics
by Zahra Soleimanitaleb et al.
#DeepLearning
#Statistics
1
19
89
Diffusion Models in Vision: A Survey
by Florinel-Alin Croitoru et al.
#EnergybasedModels
#AutoregessiveModel
0
26
92
A survey on Bayesian inference for Gaussian mixture model
by Jun Lu
#Probability
#MachineLearning
0
42
91
Bayesian Optimization for Selecting Efficient Machine Learning Models
by Lidan Wang et al.
#MachineLearning
#NeuralNetwork
0
34
91
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
by Li Yang et al.
#MachineLearning
#ComputerScience
1
43
84
Explainability in Graph Neural Networks: A Taxonomic Survey
by Hao Yuan et al. including
@ShuiwangJi
#ArtificialIntelligence
#NeuralNetwork
2
38
87
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
by Zeyu Yun et al. including
@ylecun
#TransformationNetwork
#Computation
0
23
87
PYROBOCOP : Python-based Robotic Control Optimization Package for Manipulation and Collision Avoidance
by Arvind U. Raghunathan et al.
#OpenSource
#ArtificialIntelligence
1
36
83
Deep Surface Reconstruction from Point Clouds with Visibility Information
by Raphael Sulzer et al.
#NeuralNetwork
#ComputerVision
1
17
83
0
31
83
Semantic Feature Extraction for Generalized Zero-shot Learning
by Junhan Kim et al.
#FeatureExtraction
#DeepLearning
1
23
81
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
by
@randall_balestr
and
@ylecun
#SupervisedLearning
#ComputerScience
0
19
80
RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning
by Xin Duan et al.
#ReinforcementLearning
#DeepLearning
0
20
76
Reconstructing Training Data from Trained Neural Networks
by
@HaimNiv
et al.
#ComputerVision
#NeuralNetwork
2
21
81
0
29
80
Autoencoder Attractors for Uncertainty Estimation
by Steve Dias Da Cruz et al.
#Autoencoder
#MachineLearning
0
22
75
Software engineering for artificial intelligence and machine learning software: A systematic literature review
by Elizamary Nascimento et al.
#ArtificialIntelligence
#MachineLearning
0
36
78
Understanding Gradient Descent on Edge of Stability in Deep Learning
by Sanjeev Arora et al.
#DeepLearning
#Eigenvalue
1
30
77
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
by Weiran Lin et al.
#NeuralNetwork
#Probability
1
17
75
Unsupervised Deep Learning Methods for Biological Image Reconstruction
by Mehmet Akcakaya et al.
#DeepLearning
#UnsupervisedLearning
0
22
70
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
by Sergio G. Burdisso et al.
#Classifier
#OpenSource
0
32
72
A unified machine learning approach to time series forecasting applied to demand at emergency departments
by Michaela A C Vollmer et al.
#Hyperparameter
#MachineLearning
0
42
73
Deep Learning for Medical Image Registration: A Comprehensive Review
by Subrato Bharati et al.
#GenerativeAdversarialNetwork
#DeepLearning
1
18
69
Graph Neural Networks for Natural Language Processing: A Survey
by
@lingfei_wu
et al.
#NeuralNetwork
#OpenSource
0
28
70
MusPy: A Toolkit for Symbolic Music Generation
by Hao-Wen Dong et al.
#AutoregessiveModel
#OpenSource
1
21
67
#MachineLearning
framework trends in research publications from 2013-today.
@PyTorch
is competing for market share with
@TensorFlow
.
Check out the latest
#ArtificialIntelligence
research at
0
31
69
AI4D – African Language Program
by Kathleen Siminyu et al. including
@alienelf
,
@bayethiernodiop
#OpenSource
#MachineLearning
0
39
70
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
by Bernd Bischl et al.
#MachineLearning
#Estimator
0
19
66
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
by Penny Tarling et al.
#OpenSource
#ComputerVision
0
20
66
GRAND: Graph Neural Diffusion
by Benjamin Paul Chamberlain et al. including
@mmbronstein
#NeuralNetwork
#DeepLearning
1
18
68
A Spectral Enabled GAN for Time Series Data Generation
by Kaleb E Smith et al.
#MachineLearning
#GenerativeAdversarialNetwork
0
16
67
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
by Kirill Sirotkin et al.
#DeepLearning
#SupervisedLearning
1
17
68
Inferring Turbulent Parameters via Machine Learning
by Michele Buzzicotti et al.
#ComputerVision
#MachineLearning
1
34
65
A Mathematical Introduction to Generative Adversarial Nets (GAN)
by Yang Wang
#ComputerScience
#Learning
0
20
66
Towards Explainable Deep Neural Networks (xDNN)
by Plamen Angelov et al.
#DeepLearning
#Classifier
0
19
65
An Implementation of Vector Quantization using the Genetic Algorithm Approach
by Maha Mohammed Khan
#MachineLearning
#DeepLearning
1
25
64
Image Segmentation Using Deep Learning: A Survey
by Shervin Minaee et al.
#AttentionModels
#DeepLearning
0
24
63
Explaining Deep Neural Networks using Unsupervised Clustering
by Sercan O. Arik et al.
#NeuralNetwork
#ComputerScience
0
21
64
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
by Dominik Müller et al.
#ConvolutionalNeuralNetwork
#DeepLearning
2
18
63
A Survey of Pretrained Language Models Based Text Generation
by
@Junyi_LI_6
et al.
#DeepLearning
#Computation
1
29
63
Feature Importance Ranking for Deep Learning
by Maksymilian Wojtas et al.
#CombinatorialOptimization
#SupervisedLearning
0
16
64
Misinformation Detection in Social Media Video Posts
by Kehan Wang et al.
#SupervisedLearning
#ComputerVision
0
26
62
Resolving label uncertainty with implicit posterior models
by Esther Rolf et al.
#MachineLearning
#ComputerScience
0
20
64
InceptionTime: Finding AlexNet for Time Series Classification
by Hassan Ismail Fawaz et al.
#NaturalLanguageProcessing
#MachineLearning
0
21
63
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
by Shuai Peng et al. including
@keyuan1
#NaturalLanguageProcessing
#Computation
2
13
61
The General Theory of General Intelligence: A Pragmatic Patternist Perspective
by Ben Goertzel
#ArtificialIntelligence
0
21
60
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
by Varsha Nair et al.
#NeuralNetwork
#ConvolutionalNeuralNetwork
2
20
60
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
by
@gesteller
and
@aram_galstyan
#EnergybasedModels
#NeuralNetwork
0
22
61
Deep Learning Strategies for Industrial Surface Defect Detection Systems
by Dominik Martin et al.
#DeepLearning
#ComputerVision
0
15
58