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)
Self-supervised Transformation Learning for Equivariant Representations
NeurIPS 2024
Self-Supervised Vision for Climate Downscaling
IJCAI 2024
Self-Training Large Language and Vision Assistant for Medical Question Answering
EMNLP 2024
Self-training Large Language Models through Knowledge Detection
EMNLP 2024
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
ACL 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
CVPR 2024
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning
ACL 2024
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
AAAI 2024
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
AAAI 2024
Semantic-aware SAM for Point-Prompted Instance Segmentation
CVPR 2024
Semantic-Aware Video Representation for Few-Shot Action Recognition
WACV 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
NeurIPS 2024
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
AAAI 2024
Semantic-Guided Novel Category Discovery
AAAI 2024
Semantic Line Combination Detector
CVPR 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
AAAI 2024
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
CVPR 2024
Semantics or spelling? Probing contextual word embeddings with orthographic noise
ACL 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
EMNLP 2024
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution
IJCAI 2024
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
NeurIPS 2024
Semformer: Transformer Language Models with Semantic Planning
EMNLP 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
NeurIPS 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2024