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
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'25
Papers (including subtopics)
Knowledge-Enriched Distributional Model Inversion Attacks
ICCV 2021
Knowledge-Enriched Natural Language Generation
EMNLP 2021
Knowledge Evolution in Neural Networks
CVPR 2021
Knowledge-Guided Object Discovery with Acquired Deep Impressions
AAAI 2021
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations
EMNLP 2021
Knowledge Refinery: Learning from Decoupled Label
AAAI 2021
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
EMNLP 2021
Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement
Interspeech 2021
KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment
CVPR 2021
KOAS: Korean Text Offensiveness Analysis System
EMNLP 2021
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
CVPR 2021
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning
CVPR 2021
Label Confusion Learning to Enhance Text Classification Models
AAAI 2021
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting
CVPR 2021
Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification
EMNLP 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
NeurIPS 2021
LAFEAT: Piercing Through Adversarial Defenses With Latent Features
CVPR 2021
LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization
EMNLP 2021
Land Deformation Prediction via Slope-Aware Graph Neural Networks
AAAI 2021
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation
EMNLP 2021
Language Model Pretraining and Transfer Learning for Very Low Resource Languages
EMNLP 2021
Language Models are Few-Shot Butlers
EMNLP 2021
Language Models are Few-shot Multilingual Learners
EMNLP 2021
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021
ACL 2021
Language Resource Efficient Learning for Captioning
EMNLP 2021