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)
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
ACL 2024
Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models
EACL 2024
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection
ACL 2024
TeleChat: An Open-source Billingual Large Language Model
ACL 2024
Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization
AAAI 2024
Tell Me What’s Next: Textual Foresight for Generic UI Representations
ACL 2024
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models
EMNLP 2024
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
CVPR 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
EMNLP 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models
AAAI 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
AAAI 2024
Temporal Graph Contrastive Learning for Sequential Recommendation
AAAI 2024
Temporal Sentence Grounding with Relevance Feedback in Videos
NeurIPS 2024
Temporal Validity Change Prediction
ACL 2024
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
NeurIPS 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse
AISTATS 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
NeurIPS 2024
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
AAAI 2024
Test-Time Domain Generalization for Face Anti-Spoofing
CVPR 2024
Test-Time Linear Out-of-Distribution Detection
CVPR 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation
AAAI 2024
Test-Time Training on Nearest Neighbors for Large Language Models
ICLR 2024
Test-Time Zero-Shot Temporal Action Localization
CVPR 2024
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
AAAI 2024