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
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'25
Papers (including subtopics)
Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement
Interspeech 2020
Sub-Band Knowledge Distillation Framework for Speech Enhancement
Interspeech 2020
Subgraph Neural Networks
NeurIPS 2020
SubSpace Capsule Network
AAAI 2020
SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain
EMNLP 2020
SU-NLP at WNUT-2020 Task 2: The Ensemble Models
EMNLP 2020
Supermasks in Superposition
NeurIPS 2020
Superpixel Segmentation With Fully Convolutional Networks
CVPR 2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
ACL 2020
Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting
AACL 2020
Supervised and Unsupervised Learning of Parameterized Color Enhancement
WACV 2020
Supervised Contrastive Learning
NeurIPS 2020
Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture
ACL 2020
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes
CVPR 2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
EMNLP 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NeurIPS 2020
Suspicion-Free Adversarial Attacks on Clustering Algorithms
AAAI 2020
Swapping Autoencoder for Deep Image Manipulation
NeurIPS 2020
Swoosh! Rattle! Thump! - Actions that Sound
RSS 2020
Symbiotic Attention with Privileged Information for Egocentric Action Recognition
AAAI 2020
Symmetrical Synthesis for Deep Metric Learning
AAAI 2020
Symmetry and Group in Attribute-Object Compositions
CVPR 2020
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification
AAAI 2020
SynSin: End-to-End View Synthesis From a Single Image
CVPR 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
ACL 2020