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
'5
'10
'15
'20
'25
Papers (including subtopics)
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
ACL 2022
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training
COLING 2022
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
COLING 2022
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts
EMNLP 2022
Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio
IJCAI 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
EMNLP 2022
Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin
CVPR 2022
Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification
AACL 2022
Towards Stronger Adversarial Baselines Through Human-AI Collaboration
ACL 2022
Towards Summarizing Healthcare Questions in Low-Resource Setting
COLING 2022
Towards Summary Candidates Fusion
EMNLP 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
EMNLP 2022
Towards Transferable Adversarial Attacks on Vision Transformers
AAAI 2022
Towards Understanding Adversarial Robustness of Optical Flow Networks
CVPR 2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
NAACL 2022
Towards Understanding the Data Dependency of Mixup-style Training
ICLR 2022
Towards Understanding the Relation between Gestures and Language
COLING 2022
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
ICLR 2022
Towards Unification of Discourse Annotation Frameworks
ACL 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
ICML 2022
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis
ACL 2022
Towards Unsupervised Domain Generalization
CVPR 2022
Towards Unsupervised Morphological Analysis of Polysynthetic Languages
AACL 2022
Towards unsupervised open world semantic segmentation
UAI 2022