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)
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)
IJCAI 2020
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
IJCAI 2020
Deep Weighted MaxSAT for Aspect-based Opinion Extraction
EMNLP 2020
Deep White-Balance Editing
CVPR 2020
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
CVPR 2020
Defending Against Model Stealing Attacks With Adaptive Misinformation
CVPR 2020
Defending Against Universal Attacks Through Selective Feature Regeneration
CVPR 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling
ICLR 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
AAAI 2020
Deformable Siamese Attention Networks for Visual Object Tracking
CVPR 2020
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
CVPR 2020
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI 2020
Demoting Racial Bias in Hate Speech Detection
ACL 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification
EMNLP 2020
Denoising Relation Extraction from Document-level Distant Supervision
EMNLP 2020
Dense Passage Retrieval for Open-Domain Question Answering
EMNLP 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
CVPR 2020
Density-Based Clustering for 3D Object Detection in Point Clouds
CVPR 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
CVPR 2020
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
ACL 2020
Designing Precise and Robust Dialogue Response Evaluators
ACL 2020
Detail-recovery Image Deraining via Context Aggregation Networks
CVPR 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
IJCAI 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
CVPR 2020