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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)

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Minimum Entropy Coupling with Bottleneck NeurIPS 2024 Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration NeurIPS 2024 Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation WACV 2024 Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training AAAI 2024 Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024 Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation CVPR 2024 MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024 MinSpeech: A Corpus of Southern Min Dialect for Automatic Speech Recognition Interspeech 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NeurIPS 2024 MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning COLING 2024 MINTY: Rule-based models that minimize the need for imputing features with missing values AISTATS 2024 MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation EMNLP 2024 MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions NeurIPS 2024 MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting RSS 2024 Mirage: Model-agnostic Graph Distillation for Graph Classification ICLR 2024 MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection CVPR 2024 Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024 Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning ACL 2024 MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation IJCAI 2024 MisinfoEval: Generative AI in the Era of “Alternative Facts” EMNLP 2024 Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models ECCV 2024 Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation WACV 2024