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)
Representation Learning for Type-Driven Composition
CoNLL 2020
Representation learning of writing style
EMNLP 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
EMNLP 2020
Research on Task Discovery for Transfer Learning in Deep Neural Networks
ACL 2020
Residual Continual Learning
AAAI 2020
Residual Policy Learning for Shared Autonomy
RSS 2020
Resource-Enhanced Neural Model for Event Argument Extraction
EMNLP 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis
WACV 2020
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation
AAAI 2020
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
EMNLP 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
CVPR 2020
Rethinking Classification and Localization for Object Detection
CVPR 2020
Rethinking Computer-Aided Tuberculosis Diagnosis
CVPR 2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
CVPR 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
AAAI 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift
NeurIPS 2020
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract)
AAAI 2020
Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect
AAAI 2020
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
AAAI 2020
Rethinking the Route Towards Weakly Supervised Object Localization
CVPR 2020
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
CVPR 2020
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
CVPR 2020