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)
Differentiable Augmentation for Data-Efficient GAN Training
NeurIPS 2020
Differentially Private Language Models Benefit from Public Pre-training
EMNLP 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
EMNLP 2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
CVPR 2020
Digital Voicing of Silent Speech
EMNLP 2020
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
EMNLP 2020
Dimsum @LaySumm 20
EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
EMNLP 2020
Discontinuous Constituent Parsing as Sequence Labeling
EMNLP 2020
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
ACL 2020
Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays
EMNLP 2020
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
NeurIPS 2020
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
AAAI 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
EMNLP 2020
Discriminative Adversarial Domain Adaptation
AAAI 2020
Discriminative and Robust Online Learning for Siamese Visual Tracking
AAAI 2020
Discriminative Multi-Modality Speech Recognition
CVPR 2020
Discriminative Sentence Modeling for Story Ending Prediction
AAAI 2020
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
CVPR 2020
Disentangled Image Generation Through Structured Noise Injection
CVPR 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle
ACML 2020
Disentangling by Subspace Diffusion
NeurIPS 2020
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
CVPR 2020
Disparity-Aware Domain Adaptation in Stereo Image Restoration
CVPR 2020