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)
ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification
EMNLP 2022
A Robust Bias Mitigation Procedure Based on the Stereotype Content Model
EMNLP 2022
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
EMNLP 2022
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
CVPR 2022
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge
EMNLP 2022
Artistic Style Discovery With Independent Components
CVPR 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
CVPR 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering
ACL 2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
EMNLP 2022
A Self-improving Skin Lesions Diagnosis Framework
Via Pseudo-labeling and Self-distillation
ACML 2022
A Self-Supervised Mixed-Curvature Graph Neural Network
AAAI 2022
A Semantics-Aware Approach to Automated Claim Verification
ACL 2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
ACL 2022
A sequence-to-sequence approach for document-level relation extraction
ACL 2022
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models
ACL 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
NeurIPS 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
CVPR 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
ACL 2022
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
CVPR 2022
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
ACL 2022
AS-IntroVAE: Adversarial Similarity Distance Makes
Robust IntroVAE
ACML 2022
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
NeurIPS 2022
Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction
EMNLP 2022
ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization
CVPR 2022
AS-MLP: An Axial Shifted MLP Architecture for Vision
ICLR 2022