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)
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering
CVPR 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
IJCAI 2022
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
AAAI 2022
Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
Interspeech 2022
Multicoated Supermasks Enhance Hidden Networks
ICML 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
CVPR 2022
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach
AAAI 2022
Multi-Frame Self-Supervised Depth With Transformers
CVPR 2022
Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning
Interspeech 2022
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
ICML 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
NeurIPS 2022
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
NeurIPS 2022
Multi-Head Deep Metric Learning Using Global and Local Representations
WACV 2022
Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks
AAAI 2022
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation
AAAI 2022
Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders
EMNLP 2022
Multi-Label Iterated Learning for Image Classification With Label Ambiguity
CVPR 2022
Multi Label Loss Correction against Missing and
Corrupted Labels
ACML 2022
Multi-Level Attentive Adversarial Learning With Temporal Dilation for Unsupervised Video Domain Adaptation
WACV 2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
EMNLP 2022
Multi-Level Feature Learning for Contrastive Multi-View Clustering
CVPR 2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
IJCAI 2022
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition
Interspeech 2022
Multilingual Abusive Comment Detection at Scale for Indic Languages
NeurIPS 2022
Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval
NeurIPS 2022