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)
Proactive Image Manipulation Detection
CVPR 2022
Probabilistic Fusion of Neural Networks that
Incorporates Global Information
ACML 2022
Probabilistic Representations for Video Contrastive Learning
CVPR 2022
Probing as Quantifying Inductive Bias
ACL 2022
Probing BERT’s priors with serial reproduction chains
ACL 2022
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
EMNLP 2022
Probing for Constituency Structure in Neural Language Models
EMNLP 2022
Probing for Predicate Argument Structures in Pretrained Language Models
ACL 2022
Probing Multilingual Cognate Prediction Models
ACL 2022
Probing phoneme, language and speaker information in unsupervised speech representations
Interspeech 2022
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
CVPR 2022
Probing Script Knowledge from Pre-Trained Models
EMNLP 2022
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency
ACL 2022
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems
ACL 2022
Probing with Noise: Unpicking the Warp and Weft of Embeddings
EMNLP 2022
Procedural Image Programs for Representation Learning
NeurIPS 2022
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer
EMNLP 2022
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks
EMNLP 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ICML 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
EMNLP 2022
Programmatic Concept Learning for Human Motion Description and Synthesis
CVPR 2022
Programmatic Reward Design by Example
AAAI 2022
Progressive Distillation for Fast Sampling of Diffusion Models
ICLR 2022
Progressive Sentiment Analysis for Code-Switched Text Data
EMNLP 2022
projUNN: efficient method for training deep networks with unitary matrices
NeurIPS 2022