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)
Unsupervised Keypoints from Pretrained Diffusion Models
CVPR 2024
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
CVPR 2024
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
NeurIPS 2024
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio
AISTATS 2024
Unsupervised Occupancy Learning from Sparse Point Cloud
CVPR 2024
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
AAAI 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
ACL 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
ECCV 2024
Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
ICML 2024
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
CVPR 2024
Unsupervised Universal Image Segmentation
CVPR 2024
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
CVPR 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
NeurIPS 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
NeurIPS 2024
Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement
AAAI 2024
Unveiling Encoder-Free Vision-Language Models
NeurIPS 2024
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model
ACL 2024
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
EMNLP 2024
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism
EMNLP 2024
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
CVPR 2024
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm
ACL 2024
Unveiling the Invisible: Captioning Videos with Metaphors
EMNLP 2024
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories
EMNLP 2024