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
1
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)
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
EMNLP 2021
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
NeurIPS 2021
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning
CVPR 2021
Label Confusion Learning to Enhance Text Classification Models
AAAI 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification
NeurIPS 2021
Label Distribution Learning Machine
ICML 2021
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting
CVPR 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
NeurIPS 2021
Label-Only Membership Inference Attacks
ICML 2021
Labels4Free: Unsupervised Segmentation Using StyleGAN
ICCV 2021
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification
ACL 2021
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction
EMNLP 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
ICCV 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
NeurIPS 2021
LAFEAT: Piercing Through Adversarial Defenses With Latent Features
CVPR 2021
LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract)
AAAI 2021
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation
EMNLP 2021
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
EMNLP 2021
Language Clustering for Multilingual Named Entity Recognition
EMNLP 2021
Language Conditioned Imitation Learning Over Unstructured Data
RSS 2021
Language Embeddings for Typology and Cross-lingual Transfer Learning
ACL 2021
Language ID Prediction from Speech Using Self-Attentive Pooling
NAACL 2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
ACL 2021
Language Model Evaluation Beyond Perplexity
ACL 2021
Language Model Pretraining and Transfer Learning for Very Low Resource Languages
EMNLP 2021