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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)

Leveraging Adapter for Parameter-Efficient ASR Encoder Interspeech 2024 Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing COLING 2024 Leveraging Approximate Pattern Matching with BERT for Event Detection EACL 2024 Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training EMNLP 2024 Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning NeurIPS 2024 Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction ACL 2024 Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NeurIPS 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification CVPR 2024 Leveraging Customer Feedback for Multi-modal Insight Extraction NAACL 2024 Leveraging Deep Learning to Shed Light on Tones of an Endangered Language: A Case Study of Moklen ACL 2024 Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias AISTATS 2024 Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models NeurIPS 2024 Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking EMNLP 2024 Leveraging Grammar Induction for Language Understanding and Generation EMNLP 2024 Leveraging Graph Structures to Detect Hallucinations in Large Language Models ACL 2024 Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024 Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection AAAI 2024 Leveraging Implicit Feedback from Deployment Data in Dialogue EACL 2024 Leveraging Information Redundancy of Real-World Data through Distant Supervision COLING 2024 Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling ACL 2024 Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning AAAI 2024 Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations ACL 2024 Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English ACL 2024 Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding EACL 2024 Leveraging Mutual Information for Asymmetric Learning under Partial Observability CoRL 2024