AI 2000机器学习领域学者排名每年选出前10名学者为“最具影响力学者”,前11-100名学者为“最具影响力学者提名”。该名录旨在表彰推动机器学习领域进步和创新的杰出学者。
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查查你的排名:
1
30
得分:209k
3
2
Descriptor Learning
Deep Learning
Machine Learning
Dimensionality Reduction
Pixel Classification
得分:151k
4
2
Computer Vision
Object Recognition
Image Classification
Image Retrieval
Feature Extraction
得分:136k
5
1
Machine Translation
Computer Science
Statistical Machine Translation
Translation Quality
Artificial Neural Network
得分:136k
6
4
得分:113k
7
4
Crossword Puzzle
Computer Science
Language Modeling
Constraint Satisfaction
Deep Learning
得分:110k
8
4
Computer Science
Deep Learning
Translation Quality
Artificial Intelligence
Information Systems
得分:106k
9
4
Computer Science
Artificial Intelligence
Deep Learning
Social Networks
Neural Machine Translation
得分:106k
10
4
Computer Science
Deep Learning
Artificial Intelligence
Matrix Multiplication
Genetic Variants
得分:104k
11
4
Computer Vision
Artificial Intelligence
Program Synthesis
Neural Program Search
Output Example
得分:103k
12
4
Dimensionality Reduction
Proteins
Artificial Intelligence
Transfer (computing)
Computer Science
得分:103k
13
5
Neural Network
Deep Learning
Machine Learning
Neural Networks
Speech Recognition
得分:100k
14
7
Machine Learning
Natural Language Processing
Computer Science
Object Detection
Deep Learning
得分:99k
15
9
Machine Learning
Arrival Time
Neural Networks
Straight-line Program
Image Recognition
得分:87k
16
12
Gibbs Sampling
Computer Science
Graphical Model
Machine Learning
Mixture Model
得分:82k
17
13
得分:81k
18
2
得分:76k
20
1
Object Detection
Object Recognition
Feature Extraction
Computer Vision
Deformable Part Model
得分:73k
21
2
Reinforcement Learning
Computer Science
Machine Learning
Artificial Intelligence
Robots
得分:72k
22
3
得分:69k
24
1
Reinforcement Learning
Deep Reinforcement Learning
Robotics
Artificial Intelligence
Computer Science
得分:67k
25
10
Artificial Intelligence
Computer Science
Deep Learning
Adversarial Example
Computer Vision
得分:67k
26
11
Artificial Intelligence
Artificial Neural Network
Computer Science
Language Models
Reinforcement Learning
得分:61k
27
2
Reinforcement Learning
Deep Learning
Boltzmann Machine
Markov Chain
Computer Science
得分:56k
28
2
Neuroscience
Reinforcement Learning
Deep Learning
Computer Science
Deep Reinforcement Learning
得分:55k
29
19
Deep Learning
Artificial Intelligence
Computer Science
Neural Machine Translation
Machine Learning
得分:55k
30
3
Computer Vision
Computer Science
Artificial Intelligence
Object Recognition
Digital Image Data
得分:53k
31
5
Object Recognition
Feature Extraction
Computer Science
Unsupervised Learning
Machine Learning
得分:47k
32
12
Deep Learning
Generative Model
Machine Learning
Probabilistic Model
Efficient Training
得分:44k
33
12
得分:40k
34
-
Computer Science
Artificial Intelligence
Deep Learning
Machine Learning
Classical Conditioning
得分:39k
35
得分:39k
36
3
Collaborative Filtering
Unsupervised Learning
Population Coding
Population Code
Computer Science
得分:38k
37
5
Reinforcement Learning
Artificial Intelligence
Mobile Robots
Machine Learning
Value Function
得分:38k
38
Computer Science
Artificial Intelligence
Arithmetic
Speech Recognition
Autoencoder
得分:36k
39
11
Neural Network
Machine Learning
Feature Extraction
Pattern Recognition
Computer Science
得分:35k
40
20
Object Recognition
Artificial Intelligence
Feature Extraction
Image Recognition
Computer Vision
得分:35k
41
16
Machine Learning
Monte Carlo
Generative Adversarial Networks
Universal Consistency
Genetic Programming
得分:35k
42
6
Computer Vision
Deep Learning
Computer Science
Learning (artificial Intelligence)
Convolutional Neural Network
得分:34k
43
Compose Modules
Language Understanding
Recursive Routing Networks
Few-shot Learners
Language Models
得分:34k
44
2
Reinforcement Learning
Recurrent Neural Network
Evolution Strategy
Long Short-term Memory
Natural Gradient
得分:34k
45
7
Graphical Model
Machine Learning
Supervised Learning
Mixture Model
Graphical Models
得分:33k
46
33
Transfer Learning
Computer Vision
Representation Learning
Active Learning
Contrastive Learning
得分:33k
47
12
得分:32k
48
得分:32k
49
10
Learning Physical Laws
Recurrent Neural Networks
Deep Reinforcement Learning
Intrinsic Motivation
Exploration
得分:30k
50
Human Intervention
Towards Safe Reinforcement Learning
Language Models
Few-shot Learners
Trustworthy Ai Development
得分:30k
51
48
Cross-media Retrieval
Representation Learning
Query Processing
Computer Vision
Deep Learning Architectures And Techniques
得分:30k
52
53
Representation Learning
Deep Learning
Object Detection
Computer Vision
Transfer/low-shot/long-tail Learning
得分:29k
53
55
Representation Learning
Mobile Robots
Deep Learning Architectures And Techniques
Transfer/low-shot/long-tail Learning
Machine Learning
得分:29k
54
12
得分:29k
55
34
Deep Learning
Transformers
Vision Transformer
Transformer
Significant Words Language Models
得分:29k
56
41
Relation Extraction
Natural Language Processing
Autoregressive Model
CLIP
Language Resources
得分:28k
59
45
得分:27k
60
18
Recurrent Neural Network
Speech Recognition
Long Short Term Memory
Recurrent Neural Networks
Computer Science
得分:26k
62
22
Reinforcement Learning
Computer Science
Mathematical Optimization
Artificial Intelligence
Continuous Control
得分:26k
63
22
Sequential Convex Optimization
Gaussian Belief Space Planning
Deep Reinforcement Learning
Path Planning
Reinforcement Learning
得分:25k
64
34
得分:25k
65
14
得分:24k
68
21
Model Compression
Neural Architecture Search
Deep Learning
Neural Networks
AutoML
得分:24k
69
17
Computer Science
Deep Learning
Artificial Intelligence
Unsupervised Learning
Deep Reinforcement Learning
得分:24k
71
17
Computer Vision
Object Recognition
Image Classification
Motion Estimation
Artificial Intelligence
得分:23k
72
Language Models
Responsible Ai Development
Ai System
Few-shot Learners
Trustworthy Ai Development
得分:22k
73
Convolutional Neural Networks
Fast Algorithms
Generating Long Sequences
Sparse Transformers
Scaling Laws
得分:22k
74
18
Deep Reinforcement Learning
Machine Learning
Artificial Intelligence
Computer Science
Domain Wall
得分:21k
76
4
得分:21k
77
100
Model-based Active Exploration
Upside-down Reinforcement Learning
Artificial Intelligence
Attentive Recurrent Comparators
Language Models
得分:20k
78
53
Current Literature
Warehouse-scale Computing
Semi-supervised Learning
Sampling Distribution
Learning Algorithms
得分:20k
79
26
Gated Mrf
Reinforcement Learning
Unsupervised Learning
Deep Belief Network
Neural Network
得分:20k
81
98
End-to-end Speech Recognition
Speech Recognition
Language Model
Speech Recognition Pipeline
Seq2seq Models
得分:20k
82
39
Machine Learning
Deep Learning
Generative Model
Reinforcement Learning
Satellite Imagery
得分:20k
83
92
Reinforcement Learning
New Benchmark
Quantifying Generalization
Large Scale Deep Reinforcement
Gotta Learn Fast
得分:20k
84
10
得分:19k
85
30
Machine Learning
Artificial Intelligence
Generative Models
Normalizing Flows
Computer Science
得分:19k
87
3
Information Retrieval
Learning To Rank
Loss Function
Machine Learning
Search Engine
得分:19k
88
7
Graph Representation Learning
Knowledge Graphs
Representation Learning
First-order Logic
Time Complexity
得分:19k
89
Machine Learning
Deep Architecture
Deep Learning
Unsupervised Pre-training
Video Prediction
得分:19k
90
3
Graph Neural Networks
Automated Machine Learning
Dynamic Time Warping
Mutual Information
Node Classification
得分:19k
91
97
Artificial Intelligence
Computer Science
Deep Learning
Opportunistic Reasoning
Commonsense Knowledge
得分:19k
92
30
Machine Learning
Support Vector Machine
Pattern Recognition
Online Learning
Data Compression
得分:19k
94
95
Few-shot Learners
Language Models
Large Web Corpus
Autoregressive Language Model
Few-shot Demonstration
得分:18k
95
95
Language Models
Artificial Intelligence
Ai Safety
Few-shot Learners
Regulatory Markets
得分:18k
97
得分:18k
99
95
得分:18k
100
95
Language Models
Release Strategies
Social Impacts
Computing Minimal Interpolants
Few-shot Learners
得分:18k
1
30
得分:209k
3
2
Descriptor Learning
Deep Learning
Machine Learning
Dimensionality Reduction
Pixel Classification
得分:151k
4
2
Computer Vision
Object Recognition
Image Classification
Image Retrieval
Feature Extraction
得分:136k
5
1
Machine Translation
Computer Science
Statistical Machine Translation
Translation Quality
Artificial Neural Network
得分:136k
6
4
得分:113k
7
4
Crossword Puzzle
Computer Science
Language Modeling
Constraint Satisfaction
Deep Learning
得分:110k
8
4
Computer Science
Deep Learning
Translation Quality
Artificial Intelligence
Information Systems
得分:106k
9
4
Computer Science
Artificial Intelligence
Deep Learning
Social Networks
Neural Machine Translation
得分:106k
10
4
Computer Science
Deep Learning
Artificial Intelligence
Matrix Multiplication
Genetic Variants
得分:104k
11
4
Computer Vision
Artificial Intelligence
Program Synthesis
Neural Program Search
Output Example
得分:103k
12
4
Dimensionality Reduction
Proteins
Artificial Intelligence
Transfer (computing)
Computer Science
得分:103k
13
5
Neural Network
Deep Learning
Machine Learning
Neural Networks
Speech Recognition
得分:100k
14
7
Machine Learning
Natural Language Processing
Computer Science
Object Detection
Deep Learning
得分:99k
15
9
Machine Learning
Arrival Time
Neural Networks
Straight-line Program
Image Recognition
得分:87k
16
12
Gibbs Sampling
Computer Science
Graphical Model
Machine Learning
Mixture Model
得分:82k
17
13
得分:81k
18
2
得分:76k
20
1
Object Detection
Object Recognition
Feature Extraction
Computer Vision
Deformable Part Model
得分:73k
21
2
Reinforcement Learning
Computer Science
Machine Learning
Artificial Intelligence
Robots
得分:72k
22
3
得分:69k
24
1
Reinforcement Learning
Deep Reinforcement Learning
Robotics
Artificial Intelligence
Computer Science
得分:67k
25
10
Artificial Intelligence
Computer Science
Deep Learning
Adversarial Example
Computer Vision
得分:67k
26
11
Artificial Intelligence
Artificial Neural Network
Computer Science
Language Models
Reinforcement Learning
得分:61k
27
2
Reinforcement Learning
Deep Learning
Boltzmann Machine
Markov Chain
Computer Science
得分:56k
28
2
Neuroscience
Reinforcement Learning
Deep Learning
Computer Science
Deep Reinforcement Learning
得分:55k
29
19
Deep Learning
Artificial Intelligence
Computer Science
Neural Machine Translation
Machine Learning
得分:55k
30
3
Computer Vision
Computer Science
Artificial Intelligence
Object Recognition
Digital Image Data
得分:53k
31
5
Object Recognition
Feature Extraction
Computer Science
Unsupervised Learning
Machine Learning
得分:47k
32
12
Deep Learning
Generative Model
Machine Learning
Probabilistic Model
Efficient Training
得分:44k
33
12
得分:40k
34
-
Computer Science
Artificial Intelligence
Deep Learning
Machine Learning
Classical Conditioning
得分:39k
35
得分:39k
36
3
Collaborative Filtering
Unsupervised Learning
Population Coding
Population Code
Computer Science
得分:38k
37
5
Reinforcement Learning
Artificial Intelligence
Mobile Robots
Machine Learning
Value Function
得分:38k
38
Computer Science
Artificial Intelligence
Arithmetic
Speech Recognition
Autoencoder
得分:36k
39
11
Neural Network
Machine Learning
Feature Extraction
Pattern Recognition
Computer Science
得分:35k
40
20
Object Recognition
Artificial Intelligence
Feature Extraction
Image Recognition
Computer Vision
得分:35k
41
16
Machine Learning
Monte Carlo
Generative Adversarial Networks
Universal Consistency
Genetic Programming
得分:35k
42
6
Computer Vision
Deep Learning
Computer Science
Learning (artificial Intelligence)
Convolutional Neural Network
得分:34k
43
Compose Modules
Language Understanding
Recursive Routing Networks
Few-shot Learners
Language Models
得分:34k
44
2
Reinforcement Learning
Recurrent Neural Network
Evolution Strategy
Long Short-term Memory
Natural Gradient
得分:34k
45
7
Graphical Model
Machine Learning
Supervised Learning
Mixture Model
Graphical Models
得分:33k
46
33
Transfer Learning
Computer Vision
Representation Learning
Active Learning
Contrastive Learning
得分:33k
47
12
得分:32k
48
得分:32k
49
10
Learning Physical Laws
Recurrent Neural Networks
Deep Reinforcement Learning
Intrinsic Motivation
Exploration
得分:30k
50
Human Intervention
Towards Safe Reinforcement Learning
Language Models
Few-shot Learners
Trustworthy Ai Development
得分:30k
51
48
Cross-media Retrieval
Representation Learning
Query Processing
Computer Vision
Deep Learning Architectures And Techniques
得分:30k
52
53
Representation Learning
Deep Learning
Object Detection
Computer Vision
Transfer/low-shot/long-tail Learning
得分:29k
53
55
Representation Learning
Mobile Robots
Deep Learning Architectures And Techniques
Transfer/low-shot/long-tail Learning
Machine Learning
得分:29k
54
12
得分:29k
55
34
Deep Learning
Transformers
Vision Transformer
Transformer
Significant Words Language Models
得分:29k
56
41
Relation Extraction
Natural Language Processing
Autoregressive Model
CLIP
Language Resources
得分:28k
59
45
得分:27k
60
18
Recurrent Neural Network
Speech Recognition
Long Short Term Memory
Recurrent Neural Networks
Computer Science
得分:26k
62
22
Reinforcement Learning
Computer Science
Mathematical Optimization
Artificial Intelligence
Continuous Control
得分:26k
63
22
Sequential Convex Optimization
Gaussian Belief Space Planning
Deep Reinforcement Learning
Path Planning
Reinforcement Learning
得分:25k
64
34
得分:25k
65
14
得分:24k
68
21
Model Compression
Neural Architecture Search
Deep Learning
Neural Networks
AutoML
得分:24k
69
17
Computer Science
Deep Learning
Artificial Intelligence
Unsupervised Learning
Deep Reinforcement Learning
得分:24k
71
17
Computer Vision
Object Recognition
Image Classification
Motion Estimation
Artificial Intelligence
得分:23k
72
Language Models
Responsible Ai Development
Ai System
Few-shot Learners
Trustworthy Ai Development
得分:22k
73
Convolutional Neural Networks
Fast Algorithms
Generating Long Sequences
Sparse Transformers
Scaling Laws
得分:22k
74
18
Deep Reinforcement Learning
Machine Learning
Artificial Intelligence
Computer Science
Domain Wall
得分:21k
76
4
得分:21k
77
100
Model-based Active Exploration
Upside-down Reinforcement Learning
Artificial Intelligence
Attentive Recurrent Comparators
Language Models
得分:20k
78
53
Current Literature
Warehouse-scale Computing
Semi-supervised Learning
Sampling Distribution
Learning Algorithms
得分:20k
79
26
Gated Mrf
Reinforcement Learning
Unsupervised Learning
Deep Belief Network
Neural Network
得分:20k
81
98
End-to-end Speech Recognition
Speech Recognition
Language Model
Speech Recognition Pipeline
Seq2seq Models
得分:20k
82
39
Machine Learning
Deep Learning
Generative Model
Reinforcement Learning
Satellite Imagery
得分:20k
83
92
Reinforcement Learning
New Benchmark
Quantifying Generalization
Large Scale Deep Reinforcement
Gotta Learn Fast
得分:20k
84
10
得分:19k
85
30
Machine Learning
Artificial Intelligence
Generative Models
Normalizing Flows
Computer Science
得分:19k
87
3
Information Retrieval
Learning To Rank
Loss Function
Machine Learning
Search Engine
得分:19k
88
7
Graph Representation Learning
Knowledge Graphs
Representation Learning
First-order Logic
Time Complexity
得分:19k
89
Machine Learning
Deep Architecture
Deep Learning
Unsupervised Pre-training
Video Prediction
得分:19k
90
3
Graph Neural Networks
Automated Machine Learning
Dynamic Time Warping
Mutual Information
Node Classification
得分:19k
91
97
Artificial Intelligence
Computer Science
Deep Learning
Opportunistic Reasoning
Commonsense Knowledge
得分:19k
92
30
Machine Learning
Support Vector Machine
Pattern Recognition
Online Learning
Data Compression
得分:19k
94
95
Few-shot Learners
Language Models
Large Web Corpus
Autoregressive Language Model
Few-shot Demonstration
得分:18k
95
95
Language Models
Artificial Intelligence
Ai Safety
Few-shot Learners
Regulatory Markets
得分:18k
97
得分:18k
99
95
得分:18k
100
95
Language Models
Release Strategies
Social Impacts
Computing Minimal Interpolants
Few-shot Learners
得分:18k