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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)

Universal Segmentation at Arbitrary Granularity with Language Instruction CVPR 2024 Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias CVPR 2024 Universal Semi-Supervised Model Adaptation via Collaborative Consistency Training WACV 2024 Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction WACV 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024 Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data EMNLP 2024 Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NeurIPS 2024 Unlearning from Weakly Supervised Learning IJCAI 2024 Unlearning Traces the Influential Training Data of Language Models ACL 2024 Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation ICLR 2024 Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark NeurIPS 2024 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NeurIPS 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NeurIPS 2024 Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training EMNLP 2024 Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning ICLR 2024 Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization CVPR 2024 Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024 Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unlocking Knowledge with OCR-Driven Document Digitization for Peruvian Indigenous Languages NAACL 2024 Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering EMNLP 2024