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
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'25
Papers (including subtopics)
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control
AAAI 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
CVPR 2025
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
AAAI 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
ICCV 2025
TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
EMNLP 2025
TS-CLIP: Time Series Understanding by CLIP
EMNLP 2025
TST: A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks
ACL 2025
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
AAAI 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
AAAI 2025
TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation
EMNLP 2025
Tuebingen at SemEval-2025 Task 10: Class Weighting, External Knowledge and Data Augmentation in BERT Models
SemEval 2025
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
AAAI 2025
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
CVPR 2025
Turbocharging Web Automation: The Impact of Compressed History States
ACL 2025
TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting
CVPR 2025
TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification
ACL 2025
TVC-MusicGen: Time-Varying Structure Control for Background Music Generation via Self-Supervised Training
Interspeech 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
AAAI 2025
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
ACL 2025
Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation
ACL 2025
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
AAAI 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
JMLR 2025
Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
ACL 2025
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
AISTATS 2025
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
EMNLP 2025