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)
Image Captioning with Multi-Context Synthetic Data
AAAI 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution
CVPR 2024
Images that Sound: Composing Images and Sounds on a Single Canvas
NeurIPS 2024
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation
EMNLP 2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
CVPR 2024
Image Understanding Makes for A Good Tokenizer for Image Generation
NeurIPS 2024
imapScore: Medical Fact Evaluation Made Easy
ACL 2024
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
EMNLP 2024
I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models
ACML 2024
Imitating Language via Scalable Inverse Reinforcement Learning
NeurIPS 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
ACL 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection
ACL 2024
Implicit Neural Models to Extract Heart Rate from Video
ECCV 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
AISTATS 2024
Implicit Regularization Paths of Weighted Neural Representations
NeurIPS 2024
Implicit Steganography Beyond the Constraints of Modality
ECCV 2024
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
CVPR 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
NeurIPS 2024
Improved Generalization of Weight Space Networks via Augmentations
ICML 2024
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
AAAI 2024
Improved Self-Training for Test-Time Adaptation
CVPR 2024
Improved Visual Grounding through Self-Consistent Explanations
CVPR 2024
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation
EMNLP 2024
Improving Adaptivity via Over-Parameterization in Sequence Models
NeurIPS 2024