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)
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
NeurIPS 2022
On the Effect of Isotropy on VAE Representations of Text
ACL 2022
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
NeurIPS 2022
On the Episodic Difficulty of Few-shot Learning
ACML 2022
On the Generalization Analysis of Adversarial Learning
ICML 2022
On the Geometry of Concreteness
ACL 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
ACL 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection
AAAI 2022
On the Importance of Asymmetry for Siamese Representation Learning
CVPR 2022
On the Importance of Data Size in Probing Fine-tuned Models
ACL 2022
On the Interpretability of Attention Networks
ACML 2022
On the Learning and Learnability of Quasimetrics
ICLR 2022
On the Learning Mechanisms in Physical Reasoning
NeurIPS 2022
On the Prediction Network Architecture in RNN-T for ASR
Interspeech 2022
On the Representation Collapse of Sparse Mixture of Experts
NeurIPS 2022
On the Road to Online Adaptation for Semantic Image Segmentation
CVPR 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
NeurIPS 2022
On the Robustness of Offensive Language Classifiers
ACL 2022
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
ACL 2022
On the Role of Bidirectionality in Language Model Pre-Training
EMNLP 2022
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement
Interspeech 2022
On the Stability and Scalability of Node Perturbation Learning
NeurIPS 2022
On the Use of Bert for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
NAACL 2022
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
AAAI 2022