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)
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
ACL 2024
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
CVPR 2024
Transferable Video Moment Localization by Moment-Guided Query Prompting
AAAI 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
Transfer Learning for Text Classification via Model Risk Analysis
EMNLP 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
AAAI 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers
NeurIPS 2024
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
ICLR 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
ACL 2024
Transparent and Scrutable Recommendations Using Natural Language User Profiles
ACL 2024
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
NeurIPS 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
NeurIPS 2024
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
AAAI 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NeurIPS 2024
Tree of Problems: Improving structured problem solving with compositionality
EMNLP 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
ACL 2024
Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision
ACL 2024
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
ECCV 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents
ACL 2024
TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval
WACV 2024
Triple-Encoders: Representations That Fire Together, Wire Together
ACL 2024
Triple Feature Disentanglement for One-Stage Adaptive Object Detection
AAAI 2024