Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
EMNLP 2020
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
ACL 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
EMNLP 2020
Bert Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
COLING 2020
Better Captioning With Sequence-Level Exploration
CVPR 2020
Better Highlighting: Creating Sub-Sentence Summary Highlights
EMNLP 2020
Beyond Language: Learning Commonsense from Images for Reasoning
EMNLP 2020
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
ICML 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
ACL 2020
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
CVPR 2020
Bi3D: Stereo Depth Estimation via Binary Classifications
CVPR 2020
BiDet: An Efficient Binarized Object Detector
CVPR 2020
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
IJCAI 2020
Bi-Directional Generation for Unsupervised Domain Adaptation
AAAI 2020
Bidirectional Model-based Policy Optimization
ICML 2020
Bi-Directional Relationship Inferring Network for Referring Image Segmentation
CVPR 2020
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation
CVPR 2020
Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts
Interspeech 2020
Big Bird: Transformers for Longer Sequences
NeurIPS 2020
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
EMNLP 2020
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
ACL 2020
Binarized Neural Architecture Search
AAAI 2020
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition
EMNLP 2020
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’
AAAI 2020
Biological credit assignment through dynamic inversion of feedforward networks
NeurIPS 2020