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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'10
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'20
'25
Papers (including subtopics)
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints
AAAI 2022
Towards Active Vision for Action Localization With Reactive Control and Predictive Learning
WACV 2022
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples
ACL 2022
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
AISTATS 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization
AISTATS 2022
Towards a Progression-Aware Autonomous Dialogue Agent
NAACL 2022
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
AAAI 2022
Towards a Robust Differentiable Architecture Search Under Label Noise
WACV 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
NeurIPS 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
NeurIPS 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
EMNLP 2022
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs
EMNLP 2022
Towards Automated Dialog Personalization using MBTI Personality Indicators
Interspeech 2022
Towards Automating the Generation of Human-Robot Interaction Scenarios
AAAI 2022
Towards Better Document-level Relation Extraction via Iterative Inference
EMNLP 2022
Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector
CVPR 2022
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
ICLR 2022
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
CVPR 2022
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
ICLR 2022
Towards Building ASR Systems for the Next Billion Users
AAAI 2022
Towards Compositional Generalization in Code Search
EMNLP 2022
Towards Computationally Feasible Deep Active Learning
NAACL 2022
Towards Consistency in Adversarial Classification
NeurIPS 2022
Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base
IJCAI 2022