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)
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
Semi-supervised Active Learning for Video Action Detection
AAAI 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
AAAI 2024
Semisupervised Neural Proto-Language Reconstruction
ACL 2024
Semi-Supervised Reward Modeling via Iterative Self-Training
EMNLP 2024
Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation
WACV 2024
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
CVPR 2024
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
CVPR 2024
SeqRank: Sequential Ranking of Salient Objects
AAAI 2024
SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning
WACV 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
ICML 2024
Set-based Neural Network Encoding Without Weight Tying
NeurIPS 2024
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
ICLR 2024
Set Learning for Accurate and Calibrated Models
ICLR 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
AAAI 2024
SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
CVPR 2024
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
WACV 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
EMNLP 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
NeurIPS 2024
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
AAAI 2024
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
CVPR 2024
ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
CVPR 2024
ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
CVPR 2024
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
IJCAI 2024
ShareBERT: Embeddings Are Capable of Learning Hidden Layers
AAAI 2024