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
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'25
Papers (including subtopics)
Targeted Multilingual Adaptation for Low-resource Language Families
EMNLP 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
CVPR 2024
Target Focused Shallow Transformer Framework for Efficient Visual Tracking
AAAI 2024
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)
AAAI 2024
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
NeurIPS 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
AAAI 2024
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
CVPR 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
Task-Disruptive Background Suppression for Few-Shot Segmentation
AAAI 2024
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
CVPR 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
NeurIPS 2024
Taxonomy Driven Fast Adversarial Training
AAAI 2024
Taylor Videos for Action Recognition
ICML 2024
Tayyab@DravidianLangTech 2024:Detecting Fake News in Malayalam LSTM Approach and Challenges
EACL 2024
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
AAAI 2024
TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
CVPR 2024
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
EMNLP 2024
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation
AAAI 2024
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement
AAAI 2024
Teach CLIP to Develop a Number Sense for Ordinal Regression
ECCV 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
ACL 2024
Teaching Language Models to Self-Improve by Learning from Language Feedback
ACL 2024
Teaching Large Language Models an Unseen Language on the Fly
ACL 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024