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)
Distribution Consistent Neural Architecture Search
CVPR 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression
NeurIPS 2022
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
EMNLP 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
ACL 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
NeurIPS 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
ICML 2022
Divert More Attention to Vision-Language Tracking
NeurIPS 2022
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
ACL 2022
Divide-and-Conquer Text Simplification by Scalable Data Enhancement
EMNLP 2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
NeurIPS 2022
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification
AAAI 2022
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
ACL 2022
DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models
ACL 2022
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body
NeurIPS 2022
DMix: Adaptive Distance-aware Interpolative Mixup
ACL 2022
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
AAAI 2022
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents
AAAI 2022
Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval
ACL 2022
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents
EMNLP 2022
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection
EMNLP 2022
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
ACL 2022
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning
COLING 2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
ACL 2022
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation
ACL 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
NeurIPS 2022