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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'10
'15
'20
'25
Papers (including subtopics)
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NeurIPS 2024
The Effectiveness of Random Forgetting for Robust Generalization
ICLR 2024
The Effect of Sampling Temperature on Problem Solving in Large Language Models
EMNLP 2024
The Effects of Data Quality on Named Entity Recognition
EACL 2024
The effects of distance on NPI illusive effects in BERT
EMNLP 2024
The Effects of Pretraining in Video-Guided Machine Translation
COLING 2024
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
EMNLP 2024
The Emergence of High-Level Semantics in a Signaling Game
NAACL 2024
The Empirical Variability of Narrative Perceptions of Social Media Texts
EMNLP 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
ICML 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
AAAI 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English
COLING 2024
The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods
EACL 2024
The Generalization Gap in Offline Reinforcement Learning
ICLR 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas
EMNLP 2024
The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
Interspeech 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
NeurIPS 2024
The Growing Strawberries Dataset: Tracking Multiple Objects With Biological Development Over an Extended Period
WACV 2024
The Human-AI Substitution game: active learning from a strategic labeler
ICLR 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
ACL 2024
The Impact of Features Used by Algorithms on Perceptions of Fairness
IJCAI 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
NeurIPS 2024
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
EACL 2024