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 Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
NeurIPS 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models
EMNLP 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
Improving Audio-Visual Segmentation with Bidirectional Generation
AAAI 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
Improving Dialog Safety using Socially Aware Contrastive Learning
EACL 2024
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
AAAI 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Improving Equivariant Model Training via Constraint Relaxation
NeurIPS 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
EMNLP 2024
Improving Factual Error Correction by Learning to Inject Factual Errors
AAAI 2024
Improving Fairness Using Vision-Language Driven Image Augmentation
WACV 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt
NeurIPS 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
Improving Gloss-free Sign Language Translation by Reducing Representation Density
NeurIPS 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation
EMNLP 2024
Improving Image Restoration through Removing Degradations in Textual Representations
CVPR 2024
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
ACL 2024
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
AAAI 2024
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
EMNLP 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
ACL 2024