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 Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data
AAAI 2020
Towards Context-Aware End-to-End Code-Switching Speech Recognition
Interspeech 2020
Towards Convergence Rate Analysis of Random Forests for Classification
NeurIPS 2020
Towards Conversational Recommendation over Multi-Type Dialogs
ACL 2020
Towards Debiasing NLU Models from Unknown Biases
EMNLP 2020
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
CVPR 2020
Towards Early Diagnosis of Epilepsy from EEG Data
MLHC 2020
Towards Embodied Scene Description
RSS 2020
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations
ACL 2020
Towards Explainable Conversational Recommendation
IJCAI 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
CoRL 2020
Towards Hands-Free Visual Dialog Interactive Recommendation
AAAI 2020
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
ACL 2020
Towards Inheritable Models for Open-Set Domain Adaptation
CVPR 2020
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
CVPR 2020
Towards Learning a Universal Non-Semantic Representation of Speech
Interspeech 2020
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning
EMNLP 2020
Towards Machine Translation for the Kurdish Language
AACL 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
NeurIPS 2020
Towards Modeling Revision Requirements in wikiHow Instructions
EMNLP 2020
Towards More Accurate Uncertainty Estimation In Text Classification
EMNLP 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
NeurIPS 2020
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
ICML 2020
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation
AACL 2020
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
AAAI 2020