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)
Stronger and Transferable Node Injection Attacks
AAAI 2024
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception
AAAI 2024
Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations
AAAI 2024
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
EMNLP 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
CVPR 2024
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
EMNLP 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
ICLR 2024
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
EMNLP 2024
Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification
Interspeech 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract)
AAAI 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
NeurIPS 2024
Style Aligned Image Generation via Shared Attention
CVPR 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
EMNLP 2024
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
WACV 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
EMNLP 2024
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
AAAI 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization
WACV 2024
Stylus: Automatic Adapter Selection for Diffusion Models
NeurIPS 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
NeurIPS 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 2024
Subhomogeneous Deep Equilibrium Models
ICML 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
NeurIPS 2024
Subword Segmentation in LLMs: Looking at Inflection and Consistency
EMNLP 2024