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)
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
NeurIPS 2022
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
AAAI 2022
Improving information fusion on multimodal clinical data in classification settings
EMNLP 2022
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
EMNLP 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection
EMNLP 2022
Improving Large-scale Paraphrase Acquisition and Generation
EMNLP 2022
Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies
ACL 2022
Improving Multi-task Stance Detection with Multi-task Interaction Network
EMNLP 2022
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
AAAI 2022
Improving Neural Implicit Surfaces Geometry With Patch Warping
CVPR 2022
Improving Non-Autoregressive Translation Models Without Distillation
ICLR 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
NeurIPS 2022
Improving Policy Learning via Language Dynamics Distillation
NeurIPS 2022
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
EMNLP 2022
Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking
ACL 2022
Improving Scene Graph Classification by Exploiting Knowledge from Texts
AAAI 2022
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
EMNLP 2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
EMNLP 2022
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
WACV 2022
Improving Text Simplification with Factuality Error Detection
EMNLP 2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding
EMNLP 2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
ACL 2022
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients
IJCAI 2022
Improving Video Model Transfer With Dynamic Representation Learning
CVPR 2022
Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention
Interspeech 2022