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Learning Types

56,253 papers (3 classified directly here)

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)
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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