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)
Exploring Multitask Learning for Low-Resource Abstractive Summarization
EMNLP 2021
Exploring Non-Autoregressive Text Style Transfer
EMNLP 2021
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution
EMNLP 2021
Exploring Simple Siamese Representation Learning
CVPR 2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
EMNLP 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
ACL 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
EMNLP 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
AAAI 2021
Exploring Transfer Learning For End-to-End Spoken Language Understanding
AAAI 2021
Exploring wav2vec 2.0 on Speaker Verification and Language Identification
Interspeech 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning
CVPR 2021
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling
EMNLP 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications
AAAI 2021
Extending Neural P-Frame Codecs for B-Frame Coding
ICCV 2021
Extending Policy Shaping to Continuous State Spaces (Student Abstract)
AAAI 2021
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation
EMNLP 2021
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
EMNLP 2021
Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model
CVPR 2021
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
AAAI 2021
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information
EMNLP 2021
Face Forensics in the Wild
CVPR 2021
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
CVPR 2021
Factorising Meaning and Form for Intent-Preserving Paraphrasing
ACL 2021
FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation
CVPR 2021
Fair Feature Distillation for Visual Recognition
CVPR 2021