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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'20
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Papers (including subtopics)
Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis
EMNLP 2023
Evaluating context-invariance in unsupervised speech representations
Interspeech 2023
Evaluating Cross-Domain Text-to-SQL Models and Benchmarks
EMNLP 2023
Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages
ACL 2023
Evaluating Digital Agriculture Recommendations with Causal Inference
AAAI 2023
Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis
EMNLP 2023
Evaluating Metrics for Document-context Evaluation in Machine Translation
EMNLP 2023
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
EMNLP 2023
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
ACL 2023
Evaluating Open-Domain Question Answering in the Era of Large Language Models
ACL 2023
Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain
EMNLP 2023
Evaluating pragmatic abilities of image captioners on A3DS
ACL 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NeurIPS 2023
Evaluating Self-Supervised Learning via Risk Decomposition
ICML 2023
Evaluating the Factual Consistency of Large Language Models Through News Summarization
ACL 2023
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
ICML 2023
Evaluating Verifiability in Generative Search Engines
EMNLP 2023
Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations
ACL 2023
Evaluation for Change
ACL 2023
Evaluation Metrics for Depth and Flow of Knowledge in Non-fiction Narrative Texts
ACL 2023
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
ACL 2023
Evaluation of Question Generation Needs More References
ACL 2023
Event Camera Data Pre-training
ICCV 2023
Event-Centric Query Expansion in Web Search
ACL 2023
Event Extraction as Question Generation and Answering
ACL 2023