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)
Evaluating morphological typology in zero-shot cross-lingual transfer
ACL 2021
Evaluating Multiway Multilingual NMT in the Turkic Languages
EMNLP 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
ICML 2021
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks
NAACL 2021
Evaluating the Evaluation of Diversity in Natural Language Generation
EACL 2021
Evaluating the Robustness of Neural Language Models to Input Perturbations
EMNLP 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation
ACL 2021
Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations
EMNLP 2021
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes
ACL 2021
Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks
CoRL 2021
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
EACL 2021
Event Representation with Sequential, Semi-Supervised Discrete Variables
NAACL 2021
Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation
CVPR 2021
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
EMNLP 2021
Evidence-based Factual Error Correction
ACL 2021
EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels
WACV 2021
Evolution Strategies for Approximate Solution of Bayesian Games
AAAI 2021
Exacerbating Algorithmic Bias through Fairness Attacks
AAAI 2021
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
ICCV 2021
Excess Capacity and Backdoor Poisoning
NeurIPS 2021
Exemplar-Based Open-Set Panoptic Segmentation Network
CVPR 2021
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data
ACML 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum
EMNLP 2021