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)
Exploiting Commonsense Knowledge about Objects for Visual Activity Recognition
ACL 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
EMNLP 2023
Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech
Interspeech 2023
Exploiting Emotion Information in Speaker Embeddings for Expressive Text-to-Speech
Interspeech 2023
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
EMNLP 2023
Exploration of Contrastive Learning Strategies toward more Robust Stance Detection
ACL 2023
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning
Interspeech 2023
Exploration of multilingual prompts in document-grounded dialogue
ACL 2023
Exploration on HuBERT with Multiple Resolution
Interspeech 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
ICLR 2023
Exploring and Utilizing Pattern Imbalance
CVPR 2023
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
ACL 2023
Exploring Better Text Image Translation with Multimodal Codebook
ACL 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
Exploring Discontinuity for Video Frame Interpolation
CVPR 2023
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
CVPR 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
EMNLP 2023
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
CVPR 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
EMNLP 2023
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
ICLR 2023
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
CVPR 2023
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models
Interspeech 2023
Exploring Robust Overfitting for Pre-trained Language Models
ACL 2023
Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction
AAAI 2023
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
AAAI 2023