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)
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding
EMNLP 2022
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
AAAI 2022
Label-Efficient Semantic Segmentation with Diffusion Models
ICLR 2022
Label Hallucination for Few-Shot Classification
AAAI 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
NeurIPS 2022
Label Matching Semi-Supervised Object Detection
CVPR 2022
Label Semantics for Few Shot Named Entity Recognition
ACL 2022
Lacking the Embedding of a Word? Look it up into a Traditional Dictionary
ACL 2022
LAION-5B: An open large-scale dataset for training next generation image-text models
NeurIPS 2022
LAMP: Extracting Text from Gradients with Language Model Priors
NeurIPS 2022
Lan-Bridge MT’s Participation in the WMT 2022 General Translation Shared Task
EMNLP 2022
Language Adapters for Large-Scale MT: The GMU System for the WMT 2022 Large-Scale Machine Translation Evaluation for African Languages Shared Task
EMNLP 2022
Language-agnostic BERT Sentence Embedding
ACL 2022
Language-agnostic Semantic Consistent Text-to-Image Generation
ACL 2022
Language as a fingerprint: Self-supervised learning of user encodings using transformers
EMNLP 2022
Language As Queries for Referring Video Object Segmentation
CVPR 2022
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
NeurIPS 2022
Language-driven Semantic Segmentation
ICLR 2022
Language Model Pre-Training with Sparse Latent Typing
EMNLP 2022
Language Model Priming for Cross-Lingual Event Extraction
AAAI 2022
Language Models Are Poor Learners of Directional Inference
EMNLP 2022
Language Models as Knowledge Embeddings
IJCAI 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
NeurIPS 2022
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
ACL 2022
Large Batch Experience Replay
ICML 2022