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)
ReBERT at HSD-2Lang 2024: Fine-Tuning BERT with AdamW for Hate Speech Detection in Arabic and Turkish
EACL 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
AAAI 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024
Recent Advancements in Inverse Reinforcement Learning
AAAI 2024
Recipe for Zero-shot POS Tagging: Is It Useful in Realistic Scenarios?
EMNLP 2024
Reciprocal Learning
NeurIPS 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
NeurIPS 2024
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
ICLR 2024
ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation
WACV 2024
RecMind: Large Language Model Powered Agent For Recommendation
NAACL 2024
Recognition of Unseen Bird Species by Learning From Field Guides
WACV 2024
Recognize Any Regions
NeurIPS 2024
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
AAAI 2024
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
EMNLP 2024
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation
IJCAI 2024
ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection
WACV 2024
Reconstruction of Manipulated Garment with Guided Deformation Prior
NeurIPS 2024
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning
IJCAI 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model
CVPR 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024
Rectifying Demonstration Shortcut in In-Context Learning
NAACL 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
NeurIPS 2024
Recurrent Concept Drifts on Data Streams
IJCAI 2024
Recurrent Reinforcement Learning with Memoroids
NeurIPS 2024