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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)

Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking COLING 2024 Moral Foundations of Large Language Models EMNLP 2024 Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning EACL 2024 More Discriminative Sentence Embeddings via Semantic Graph Smoothing EACL 2024 More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages EMNLP 2024 More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024 More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024 More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024 More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes NAACL 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 MorphingMinds at SemEval-2024 Task 10: Emotion Recognition in Conversation in Hindi-English Code-Mixed Conversations SemEval 2024 Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology CVPR 2024 Mosaic-SDF for 3D Generative Models CVPR 2024 MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading CVPR 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NeurIPS 2024 Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization SemEval 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Motif: Intrinsic Motivation from Artificial Intelligence Feedback ICLR 2024 Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking CVPR 2024 Motion Blur Decomposition with Cross-shutter Guidance CVPR 2024 MotionCraft: Physics-Based Zero-Shot Video Generation NeurIPS 2024 MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024