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)
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
EMNLP 2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
EMNLP 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
Unlocking the Potential of Model Merging for Low-Resource Languages
EMNLP 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
CVPR 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
AAAI 2024
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
NeurIPS 2024
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
ACL 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
CVPR 2024
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment
AAAI 2024
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
CVPR 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
NeurIPS 2024
Unsupervised Blind Image Deblurring Based on Self-Enhancement
CVPR 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
AAAI 2024
Unsupervised Deep Unrolling Networks for Phase Unwrapping
CVPR 2024
Unsupervised Discrete Representations of American Sign Language
EMNLP 2024
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding
ACL 2024
Unsupervised Extractive Summarization with Learnable Length Control Strategies
AAAI 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
CVPR 2024
Unsupervised Feature Selection towards Pattern Discrimination Power
UAI 2024
Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance
EMNLP 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
NeurIPS 2024
Unsupervised Human Preference Learning
EMNLP 2024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
ACL 2024