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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)

DVANet: Disentangling View and Action Features for Multi-View Action Recognition AAAI 2024 DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering EMNLP 2024 DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering AAAI 2024 Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 Dynamically Anchored Prompting for Task-Imbalanced Continual Learning IJCAI 2024 Dynamic Budget Throttling in Repeated Second-Price Auctions AAAI 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG EMNLP 2024 Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis CVPR 2024 Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024 DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models EMNLP 2024 Dynamic Rescaling for Training GNNs NeurIPS 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NeurIPS 2024 Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron NeurIPS 2024 Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning AAAI 2024 Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments NeurIPS 2024 Dynamic Weighted Combiner for Mixed-Modal Image Retrieval AAAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering IJCAI 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion ACL 2024