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 Language Models in Text-Attributed Graph
EMNLP 2023
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
NeurIPS 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input
NeurIPS 2023
UnLoc: A Unified Framework for Video Localization Tasks
ICCV 2023
Unlocking Deterministic Robustness Certification on ImageNet
NeurIPS 2023
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
NeurIPS 2023
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations
EMNLP 2023
Unpaired Image-to-Image Translation With Shortest Path Regularization
CVPR 2023
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
NeurIPS 2023
Unsupervised Behavior Extraction via Random Intent Priors
NeurIPS 2023
Unsupervised Binary Code Translation with Application to Code Clone Detection and Vulnerability Discovery
EMNLP 2023
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
EMNLP 2023
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention
AAAI 2023
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
CVPR 2023
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
CVPR 2023
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics
AAAI 2023
Unsupervised Deep Video Denoising with Untrained Network
AAAI 2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
ACL 2023
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment
AAAI 2023
Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
CVPR 2023
Unsupervised Grammatical Error Correction Rivaling Supervised Methods
EMNLP 2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
ICCV 2023
Unsupervised Learning for Solving the Travelling Salesman Problem
NeurIPS 2023
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
ICCV 2023
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive
AAAI 2023