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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)

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NeurIPS 2024 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024 Exploiting Auxiliary Caption for Video Grounding AAAI 2024 Exploiting Class Probabilities for Black-box Sentence-level Attacks EACL 2024 Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels WACV 2024 Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning IJCAI 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NeurIPS 2024 Exploiting Diffusion Prior for Generalizable Dense Prediction CVPR 2024 Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization ACL 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Exploiting Multi-Label Correlation in Label Distribution Learning IJCAI 2024 Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024 Exploiting Representation Curvature for Boundary Detection in Time Series NeurIPS 2024 Exploiting Style Latent Flows for Generalizing Deepfake Video Detection CVPR 2024 Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense ECCV 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 Exploiting Wavelet Scattering Transform for an Unsupervised Speaker Diarization in Deep Neural Network Framework Interspeech 2024 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NeurIPS 2024