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)
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
COLING 2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
ACL 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
NeurIPS 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
EMNLP 2022
Prompt-based Distribution Alignment for Domain Generalization in Text Classification
EMNLP 2022
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction
ACL 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
EMNLP 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Prompt Distribution Learning
CVPR 2022
Prompt-Driven Neural Machine Translation
ACL 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
ACL 2022
Prompt-free and Efficient Few-shot Learning with Language Models
ACL 2022
Prompting for Multimodal Hateful Meme Classification
EMNLP 2022
PromptShots at the FinNLP-2022 ERAI Task: Pairwise Comparison and Unsupervised Ranking
EMNLP 2022
Prompt Tuning for Discriminative Pre-trained Language Models
ACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
NAACL 2022
Proof Artifact Co-Training for Theorem Proving with Language Models
ICLR 2022
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract)
AAAI 2022
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples
CVPR 2022
Proper Reuse of Image Classification Features Improves Object Detection
CVPR 2022
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues
CVPR 2022
PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics
NeurIPS 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
AAAI 2022
Proto2Proto: Can You Recognize the Car, the Way I Do?
CVPR 2022