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)
Typology-Guided Adaptation in Multilingual Models
ACL 2025
UB_Tel-U at SemEval-2025 Task 11: Emotions Without Borders - A Unified Framework for Multilingual Classification Using Augmentation and Ensemble
SemEval 2025
UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
ICCV 2025
UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
ICCV 2025
UIPro: Unleashing Superior Interaction Capability For GUI Agents
ICCV 2025
uMedSum: A Unified Framework for Clinical Abstractive Summarization
ACL 2025
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
CVPR 2025
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
AISTATS 2025
Unbiased Missing-modality Multimodal Learning
ICCV 2025
Unbiased Quantization of the L_1 Ball for Communication-Efficient Distributed Mean Estimation
AISTATS 2025
Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction
ICCV 2025
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
AAAI 2025
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
ICML 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction
CVPR 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
NAACL 2025
UncleLM at SemEval-2025 Task 11: RAG-Based Few-Shot Learning and Fine-Tuned Encoders for Multilingual Emotion Detection
SemEval 2025
UnCommon Objects in 3D
CVPR 2025
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
WACV 2025
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL
ACL 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
CVPR 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
AAAI 2025
Understanding LLMs’ Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
EMNLP 2025
Understanding Model Ensemble in Transferable Adversarial Attack
ICML 2025