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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)

Improving Fairness in Deepfake Detection WACV 2024 Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model EMNLP 2024 Improving fine-grained understanding in image-text pre-training ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Improving Generalization via Meta-Learning on Hard Samples CVPR 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024 Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning ACL 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation EMNLP 2024 Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment NAACL 2024 Improving In-Context Learning with Prediction Feedback for Sentiment Analysis ACL 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning EMNLP 2024 Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis ACL 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 Improving Latin Dependency Parsing by Combining Treebanks and Predictions EMNLP 2024 Improving LLM Generations via Fine-Grained Self-Endorsement ACL 2024 Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation COLING 2024 Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources ACL 2024 Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings NAACL 2024 Improving Multi-lingual Alignment Through Soft Contrastive Learning NAACL 2024 Improving Multilingual ASR Robustness to Errors in Language Input Interspeech 2024