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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)

Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024 Learning from many trajectories JMLR 2024 Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features ICML 2024 Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training EMNLP 2024 Learning from Multiple Annotator Biased Labels in Multimodal Conversation Interspeech 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning from One Continuous Video Stream CVPR 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NeurIPS 2024 Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems EMNLP 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning from Synthetic Human Group Activities CVPR 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024 Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment WACV 2024 Learning Goal-Conditioned Representations for Language Reward Models NeurIPS 2024 Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024 Learning Graph Representation via Graph Entropy Maximization ICML 2024 Learning Group Activity Features Through Person Attribute Prediction CVPR 2024 Learning High-Quality and General-Purpose Phrase Representations EACL 2024 Learning Human-like Representations to Enable Learning Human Values NeurIPS 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 Learning Image Demoiréing from Unpaired Real Data AAAI 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024