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)
Estimating Causal Effects Using Weighting-Based Estimators
AAAI 2020
Estimating Low-Rank Region Likelihood Maps
CVPR 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
ICML 2020
Estimating predictive uncertainty for rumour verification models
ACL 2020
Estimating Principal Components under Adversarial Perturbations
COLT 2020
Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic
ACL 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NeurIPS 2020
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks
ACL 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
CVPR 2020
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
CVPR 2020
Evaluating and Aggregating Feature-based Model Explanations
IJCAI 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples
ACL 2020
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
NeurIPS 2020
Evaluating Bias In Dutch Word Embeddings
COLING 2020
Evaluating Explanation Methods for Neural Machine Translation
ACL 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets
EMNLP 2020
Evaluating the Factual Consistency of Abstractive Text Summarization
EMNLP 2020
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity
ACL 2020
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News
COLING 2020
Evaluating Weakly Supervised Object Localization Methods Right
CVPR 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
UAI 2020
Evaluation of Coreference Resolution Systems Under Adversarial Attacks
EMNLP 2020
Event Extraction as Machine Reading Comprehension
EMNLP 2020
Event Extraction as Multi-turn Question Answering
EMNLP 2020