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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation AAAI 2024 Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought CVPR 2024 Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization CVPR 2024 Prompt-Driven Referring Image Segmentation with Instance Contrasting CVPR 2024 Prompt Engineering a Prompt Engineer ACL 2024 Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2024 Prompt Expansion for Adaptive Text-to-Image Generation ACL 2024 Prompt Highlighter: Interactive Control for Multi-Modal LLMs CVPR 2024 Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024 Prompting Multi-Modal Image Segmentation with Semantic Grouping AAAI 2024 Prompting open-source and commercial language models for grammatical error correction of English learner text ACL 2024 Prompting vision-language fusion for Zero-Shot Composed Image Retrieval ACML 2024 PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP 2024 Prompt Learning via Meta-Regularization CVPR 2024 PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval EMNLP 2024 PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming ACL 2024 Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer) EMNLP 2024 Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation NeurIPS 2024 Proofread: Fixes All Errors with One Tap ACL 2024 Prospective Representation Learning for Non-Exemplar Class-Incremental Learning NeurIPS 2024 Protecting Privacy in Classifiers by Token Manipulation ACL 2024