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
'5
'10
'15
'20
'25
Papers (including subtopics)
Cited Text Spans for Scientific Citation Text Generation
ACL 2024
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
EMNLP 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
NeurIPS 2024
CLAP: Collaborative Adaptation for Patchwork Learning
ICLR 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
NeurIPS 2024
CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models
ACL 2024
Class Balancing for Efficient Active Learning in Imbalanced Datasets
EACL 2024
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification
IJCAI 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
NeurIPS 2024
Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating
ACL 2024
Classification with Conceptual Safeguards
ICLR 2024
Classifier Calibration with ROC-Regularized Isotonic Regression
AISTATS 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
NeurIPS 2024
Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task
ACL 2024
Class-Incremental Few-Shot Event Detection
COLING 2024
Class Incremental Learning via Likelihood Ratio Based Task Prediction
ICLR 2024
Class Incremental Learning with Multi-Teacher Distillation
CVPR 2024
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition
IJCAI 2024
Class Tokens Infusion for Weakly Supervised Semantic Segmentation
CVPR 2024
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
NeurIPS 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
NeurIPS 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
NeurIPS 2024
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
EMNLP 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
NAACL 2024