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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Papers (including subtopics)
Universal Segmentation at Arbitrary Granularity with Language Instruction
CVPR 2024
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
CVPR 2024
Universal Semi-Supervised Model Adaptation via Collaborative Consistency Training
WACV 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
AAAI 2024
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
EMNLP 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
EMNLP 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
NeurIPS 2024
Unlearning from Weakly Supervised Learning
IJCAI 2024
Unlearning Traces the Influential Training Data of Language Models
ACL 2024
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
ICLR 2024
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
NeurIPS 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
NeurIPS 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
NeurIPS 2024
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
EMNLP 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
COLING 2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
EMNLP 2024
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
ICLR 2024
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
CVPR 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
Unlocking Knowledge with OCR-Driven Document Digitization for Peruvian Indigenous Languages
NAACL 2024
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
EMNLP 2024