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)
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
AAAI 2025
Through the Valley: Path to Effective Long CoT Training for Small Language Models
EMNLP 2025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
ACL 2025
TIDES: Technical Information Discovery and Extraction System
EMNLP 2025
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
CVPR 2025
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging
ICCV 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
AAAI 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
AAAI 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation
ACL 2025
Time-series attribution maps with regularized contrastive learning
AISTATS 2025
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
ICML 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
ICML 2025
TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation
CVPR 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
EMNLP 2025
TIPS: Text-Image Pretraining with Spatial awareness
ICLR 2025
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
ACL 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
EMNLP 2025
T-MAD: Target-driven Multimodal Alignment for Stance Detection
EMNLP 2025
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
AAAI 2025
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
EMNLP 2025
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
ACL 2025
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
EMNLP 2025
TokAlign: Efficient Vocabulary Adaptation via Token Alignment
ACL 2025
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
CVPR 2025