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Learning Types

56,254 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 (1,984) 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)

HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction SemEval 2023 HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction EMNLP 2023 HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection AAAI 2023 HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model SemEval 2023 HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification SemEval 2023 HiBug: On Human-Interpretable Model Debug NeurIPS 2023 HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn JMLR 2023 HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings EMNLP 2023 HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention ICLR 2023 Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NeurIPS 2023 Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection EMNLP 2023 Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs EMNLP 2023 Hiding Visual Information via Obfuscating Adversarial Perturbations ICCV 2023 Hierarchical Apprenticeship Learning for Disease Progression Modeling IJCAI 2023 Hierarchical clustering with dot products recovers hidden tree structure NeurIPS 2023 Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations AAAI 2023 HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling EMNLP 2023 Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning AAAI 2023 Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection ICCV 2023 Hierarchical Contrastive Learning for Temporal Point Processes AAAI 2023 Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning AAAI 2023 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NeurIPS 2023 Hierarchical Dense Correlation Distillation for Few-Shot Segmentation CVPR 2023 Hierarchical Diffusion for Offline Decision Making ICML 2023 Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy CVPR 2023