Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
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8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation
ICCV 2021
Red Carpet to Fight Club: Partially-Supervised Domain Transfer for Face Recognition in Violent Videos
WACV 2021
Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation
ICCV 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NeurIPS 2021
Reducing the Annotation Effort for Video Object Segmentation Datasets
WACV 2021
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
NeurIPS 2021
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification
EMNLP 2021
Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation
ICCV 2021
Re-entry Prediction for Online Conversations via Self-Supervised Learning
EMNLP 2021
Reference-based Weak Supervision for Answer Sentence Selection using Web Data
EMNLP 2021
Reference-Centric Models for Grounded Collaborative Dialogue
EMNLP 2021
Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics
EMNLP 2021
Refined approachability algorithms and application to regret minimization with global costs
JMLR 2021
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
WACV 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
CVPR 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
EMNLP 2021
Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification
CVPR 2021
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
ACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021
Refocusing on Relevance: Personalization in NLG
EMNLP 2021
Reformulating Zero-shot Action Recognition for Multi-label Actions
NeurIPS 2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
EMNLP 2021
Region-Aware Adaptive Instance Normalization for Image Harmonization
CVPR 2021
Region-Aware Contrastive Learning for Semantic Segmentation
ICCV 2021
Region Similarity Representation Learning
ICCV 2021