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)
rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense Disambiguation
ACL 2024
Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models
EMNLP 2024
ReMI: A Dataset for Reasoning with Multiple Images
NeurIPS 2024
Removing Biases from Molecular Representations via Information Maximization
ICLR 2024
Removing the Quality Tax in Controllable Face Generation
WACV 2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
RSS 2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks
NeurIPS 2024
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
ICLR 2024
RepEval: Effective Text Evaluation with LLM Representation
EMNLP 2024
Replay across Experiments: A Natural Extension of Off-Policy RL
ICLR 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
NeurIPS 2024
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
NeurIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NeurIPS 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
EMNLP 2024
Repoformer: Selective Retrieval for Repository-Level Code Completion
ICML 2024
Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing
EMNLP 2024
Representational Isomorphism and Alignment of Multilingual Large Language Models
EMNLP 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
AAAI 2024
Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding
COLING 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning
NeurIPS 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
CVPR 2024
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods
AAAI 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NeurIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NeurIPS 2024
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
EMNLP 2024