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 Language-Free Training for Text-to-Image Generation
CVPR 2022
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
ACL 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NeurIPS 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks
NeurIPS 2022
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
ACL 2022
Towards Multi-label Unknown Intent Detection
COLING 2022
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
COLING 2022
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned?
EMNLP 2022
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation
CVPR 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback
AAAI 2022
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)
AAAI 2022
Towards Open-Domain Topic Classification
NAACL 2022
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information
COLT 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
NeurIPS 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NeurIPS 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
EMNLP 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
NeurIPS 2022
Towards Responsible Natural Language Annotation for the Varieties of Arabic
ACL 2022
Towards Return Parity in Markov Decision Processes
AISTATS 2022
Towards Robust Adaptive Object Detection Under Noisy Annotations
CVPR 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
CVPR 2022
Towards Robust and Reproducible Active Learning Using Neural Networks
CVPR 2022
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer
NAACL 2022
Towards Robust k-Nearest-Neighbor Machine Translation
EMNLP 2022
Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding
AAAI 2022