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)
Towards Cross-speaker Reading Style Transfer on Audiobook Dataset
Interspeech 2022
Towards Data-Free Model Stealing in a Hard Label Setting
CVPR 2022
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning
CVPR 2022
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces
AAAI 2022
Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking
CVPR 2022
Towards Disentangled Speech Representations
Interspeech 2022
Towards Driving-Oriented Metric for Lane Detection Models
CVPR 2022
Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
NeurIPS 2022
Towards Efficient Data Free Black-Box Adversarial Attack
CVPR 2022
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
COLING 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
ICML 2022
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
ICLR 2022
Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts
COLING 2022
Towards Explaining Subjective Ground of Individuals on Social Media
EMNLP 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
CVPR 2022
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework
ACL 2022
Towards Few-Shot Identification of Morality Frames using In-Context Learning
EMNLP 2022
Towards General Function Approximation in Zero-Sum Markov Games
ICLR 2022
Towards Generalizable and Robust Text-to-SQL Parsing
EMNLP 2022
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture
CVPR 2022
Towards high-fidelity singing voice conversion with acoustic reference and contrastive predictive coding
Interspeech 2022
Towards Improved Zero-shot Voice Conversion with Conditional DSVAE
Interspeech 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework
EMNLP 2022
Towards Joint Intent Detection and Slot Filling via Higher-order Attention
IJCAI 2022