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)
Prompt-enhanced Network for Hateful Meme Classification
IJCAI 2024
PromptExplainer: Explaining Language Models through Prompt-based Learning
EACL 2024
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
NAACL 2024
PromptFix: You Prompt and We Fix the Photo
NeurIPS 2024
Prompt Gradient Projection for Continual Learning
ICLR 2024
Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
WACV 2024
Prompting Fairness: Learning Prompts for Debiasing Large Language Models
EACL 2024
Prompting Few-shot Multi-hop Question Generation via Comprehending Type-aware Semantics
NAACL 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
Prompting Implicit Discourse Relation Annotation
EACL 2024
Prompting open-source and commercial language models for grammatical error correction of English learner text
ACL 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
EMNLP 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
IJCAI 2024
Prompt Learning with Quaternion Networks
ICLR 2024
Promptly Predicting Structures: The Return of Inference
NAACL 2024
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
NAACL 2024
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers Using Synthetic Scene Data
WACV 2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
EMNLP 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
Prompt Refinement with Image Pivot for Text-to-Image Generation
ACL 2024
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
EMNLP 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
NAACL 2024
PromptStream: Self-Supervised News Story Discovery Using Topic-Aware Article Representations
COLING 2024
Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs
COLING 2024
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
AAAI 2024