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)
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands
L4DC 2020
Topic Balancing with Additive Regularization of Topic Models
ACL 2020
Topic Modeling on Document Networks with Adjacent-Encoder
AAAI 2020
Topic Modeling via Full Dependence Mixtures
ICML 2020
Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models
EMNLP 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
To Relieve Your Headache of Training an MRF, Take AdVIL
ICLR 2020
Toward a neuro-inspired creative decoder
IJCAI 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
AAAI 2020
Toward a Universal Model for Shape From Texture
CVPR 2020
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control
ICLR 2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
L4DC 2020
Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self-Learning And Hierarchical Annotation Based Framework
WACV 2020
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
EMNLP 2020
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons
EMNLP 2020
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
COLING 2020
Towards Accurate and Robust Domain Adaptation under Noisy Environments
IJCAI 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
CVPR 2020
Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage
EMNLP 2020
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction
COLING 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
IJCAI 2020
Towards a Standardized Dataset on Indonesian Named Entity Recognition
AACL 2020
Towards automatically generating Questions under Discussion to link information and discourse structure
COLING 2020
Towards building a Robust Industry-scale Question Answering System
COLING 2020
Towards Certificated Model Robustness Against Weight Perturbations
AAAI 2020