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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)

Label Augmentation for Zero-Shot Hierarchical Text Classification ACL 2024 Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages ACL 2024 Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection ACL 2024 Label Consistency-based Worker Filtering for Crowdsourcing UAI 2024 Label Delay in Online Continual Learning NeurIPS 2024 Label Distribution Learning from Logical Label IJCAI 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training AAAI 2024 Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024 Label-Efficient Model Selection for Text Generation ACL 2024 Label-Focused Inductive Bias over Latent Object Features in Visual Classification ICLR 2024 Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024 Label-Free Synthetic Pretraining of Object Detectors WACV 2024 Label Noise: Ignorance Is Bliss NeurIPS 2024 Label-Noise Robust Diffusion Models ICLR 2024 Label Noise Robustness of Conformal Prediction JMLR 2024 Label Propagation for Zero-shot Classification with Vision-Language Models CVPR 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024 Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces EACL 2024 Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation ACL 2024 Label-wise Aleatoric and Epistemic Uncertainty Quantification UAI 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NeurIPS 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation AAAI 2024 LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition CVPR 2024 LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment NAACL 2024