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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)

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024 HARP: Unsupervised Histopathology Artifact Restoration MIDL 2024 HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images CVPR 2024 Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 HBUT at #SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model ACL 2024 Headless Language Models: Learning without Predicting with Contrastive Weight Tying ICLR 2024 HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data NeurIPS 2024 HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping AAAI 2024 Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks ICLR 2024 HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing Interspeech 2024 Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers EACL 2024 HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024 HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM NAACL 2024 H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer AAAI 2024 HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction IJCAI 2024 Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024 HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation NAACL 2024 HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning AAAI 2024 HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models CVPR 2024 HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents EMNLP 2024