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)
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
ACL 2024
Unsupervised Pretraining for Fact Verification by Language Model Distillation
ICLR 2024
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
ACL 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
ECCV 2024
Unsupervised Salient Instance Detection
CVPR 2024
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
CVPR 2024
Unsupervised Sign Language Translation and Generation
ACL 2024
Unsupervised stance detection for social media discussions: A generic baseline
EACL 2024
Unsupervised Template-assisted Point Cloud Shape Correspondence Network
CVPR 2024
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
EMNLP 2024
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
AAAI 2024
Unsupervised Tree Boosting for Learning Probability Distributions
JMLR 2024
Unsupervised Universal Image Segmentation
CVPR 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
ICML 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
NeurIPS 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
NeurIPS 2024
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model
ACL 2024
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
AAAI 2024
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism
EMNLP 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
NeurIPS 2024
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection
ACL 2024
Unveiling Options with Neural Network Decomposition
ICLR 2024
Unveiling Project-Specific Bias in Neural Code Models
COLING 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
ACL 2024