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)
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement
CVPR 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NeurIPS 2022
Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework
CVPR 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
NAACL 2022
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
ACL 2022
Using Contextual Sentence Analysis Models to Recognize ESG Concepts
EMNLP 2022
Using cross-model learnings for the Gram Vaani ASR Challenge 2022
Interspeech 2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
EMNLP 2022
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
AAAI 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
NeurIPS 2022
Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020
ACL 2022
Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification
EMNLP 2022
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy
EMNLP 2022
UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog
CVPR 2022
Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model
ACL 2022
Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
EMNLP 2022
V2C: Visual Voice Cloning
CVPR 2022
Vaccinating SER to Neutralize Adversarial Attacks with Self-Supervised Augmentation Strategy
Interspeech 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
NAACL 2022
VALHALLA: Visual Hallucination for Machine Translation
CVPR 2022
Validity Assessment of Legal Will Statements as Natural Language Inference
EMNLP 2022
ValueNet: A New Dataset for Human Value Driven Dialogue System
AAAI 2022
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
NeurIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
NeurIPS 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
EMNLP 2022