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)
The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition
Interspeech 2022
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction
EMNLP 2022
The Effects of Regularization and Data Augmentation are Class Dependent
NeurIPS 2022
The Geometry of Multilingual Language Model Representations
EMNLP 2022
The HCCL System for the NIST SRE21
Interspeech 2022
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation
ACL 2022
The HW-TSC’s Simultaneous Speech Translation System for IWSLT 2022 Evaluation
ACL 2022
The Importance of Future Information in Credit Card Fraud Detection
AISTATS 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing
AAAI 2022
The least-control principle for local learning at equilibrium
NeurIPS 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
NeurIPS 2022
The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization
NeurIPS 2022
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
The NiuTrans Machine Translation Systems for WMT22
EMNLP 2022
The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task
ACL 2022
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
CVPR 2022
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
ACL 2022
The Pitfalls of Regularization in Off-Policy TD Learning
NeurIPS 2022
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
NeurIPS 2022
The Power of Prompt Tuning for Low-Resource Semantic Parsing
ACL 2022
The Primacy Bias in Deep Reinforcement Learning
ICML 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
CVPR 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
ICLR 2022
The Role of Pretrained Representations for the OOD Generalization of RL Agents
ICLR 2022
The SPECTRANS System Description for the WMT22 Biomedical Task
EMNLP 2022