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)
Students Parrot Their Teachers: Membership Inference on Model Distillation
NeurIPS 2023
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
NeurIPS 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
CVPR 2023
Style-Aware Contrastive Learning for Multi-Style Image Captioning
EACL 2023
StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation
EMNLP 2023
Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition
AAAI 2023
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
CVPR 2023
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN
CVPR 2023
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
CVPR 2023
StyLess: Boosting the Transferability of Adversarial Examples
CVPR 2023
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator
CVPR 2023
StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles
AAAI 2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
NeurIPS 2023
Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation
EMNLP 2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
NeurIPS 2023
Submission of USTC’s System for the IWSLT 2023 - Offline Speech Translation Track
ACL 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
EMNLP 2023
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training
EMNLP 2023
Substructure Aware Graph Neural Networks
AAAI 2023
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization
ACL 2023
SummIt: Iterative Text Summarization via ChatGPT
EMNLP 2023
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization
ACL 2023
SumREN: Summarizing Reported Speech about Events in News
AAAI 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
ACL 2023