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)
Fine-grained Noise Control for Multispeaker Speech Synthesis
Interspeech 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
CVPR 2022
Fine-Grained Predicates Learning for Scene Graph Generation
CVPR 2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
NeurIPS 2022
Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization
CVPR 2022
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
EMNLP 2022
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
AAAI 2022
Fine-tuned Language Models are Continual Learners
EMNLP 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance
ACL 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
NAACL 2022
Fine-tuning pre-trained models for Automatic Speech Recognition, experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)
ACL 2022
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights
EMNLP 2022
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
AAAI 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
CVPR 2022
First the Worst: Finding Better Gender Translations During Beam Search
ACL 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering
CVPR 2022
FLAIR: Federated Learning Annotated Image Repository
NeurIPS 2022
FLAVA: A Foundational Language and Vision Alignment Model
CVPR 2022
Flexible Generation from Fragmentary Linguistic Input
ACL 2022
Flexible Neural Image Compression via Code Editing
NeurIPS 2022
Flexible Visual Grounding
ACL 2022
Flow-Adapter Architecture for Unsupervised Machine Translation
ACL 2022
FLUID: Few-Shot Self-Supervised Image Deraining
WACV 2022
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification
CVPR 2022