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)
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?
ACL 2022
Can Yes-No Question-Answering Models be Useful for Few-Shot Metaphor Detection?
EMNLP 2022
Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection
CVPR 2022
CapOnImage: Context-driven Dense-Captioning on Image
EMNLP 2022
CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly
CVPR 2022
Capturing Topic Framing via Masked Language Modeling
EMNLP 2022
CAraNER: The COVID-19 Arabic Named Entity Corpus
EMNLP 2022
CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising
IJCAI 2022
CASA: Category-agnostic Skeletal Animal Reconstruction
NeurIPS 2022
Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection
CVPR 2022
CAT: Customized Adversarial Training for Improved Robustness
IJCAI 2022
CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection
CVPR 2022
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
CVPR 2022
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset
NeurIPS 2022
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval
AAAI 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
AAAI 2022
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
AAAI 2022
Causality Inspired Representation Learning for Domain Generalization
CVPR 2022
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image
CVPR 2022
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks
AAAI 2022
CC-Top: Constrained Clustering for Dynamic Topic Discovery
EMNLP 2022
CDGNet: Class Distribution Guided Network for Human Parsing
CVPR 2022
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
NeurIPS 2022
CEIA-NLP at CASE 2022 Task 1: Protest News Detection for Portuguese
EMNLP 2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
NAACL 2022