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)
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared Task
EMNLP 2021
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
EMNLP 2021
Transformation Invariant Few-Shot Object Detection
CVPR 2021
Transformer-Based Dual Relation Graph for Multi-Label Image Recognition
ICCV 2021
Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets
NAACL 2021
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
EMNLP 2021
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
EMNLP 2021
Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks
EMNLP 2021
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation
EMNLP 2021
Translation Transformers Rediscover Inherent Data Domains
EMNLP 2021
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar
NAACL 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
NeurIPS 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
CVPR 2021
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
AAAI 2021
TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships
WACV 2021
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning
ICCV 2021
TravelNet: Self-Supervised Physically Plausible Hand Motion Learning From Monocular Color Images
ICCV 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
Tribrid: Stance Classification with Neural Inconsistency Detection
EMNLP 2021
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
ACL 2021
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
NeurIPS 2021
True Few-Shot Learning with Language Models
NeurIPS 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
JMLR 2021