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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)

FLamE: Few-shot Learning from Natural Language Explanations ACL 2023 Flash: Concept Drift Adaptation in Federated Learning ICML 2023 FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning NeurIPS 2023 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation WACV 2023 Fleet Active Learning: A Submodular Maximization Approach CoRL 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023 Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023 Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy CVPR 2023 Flexible Model Aggregation for Quantile Regression JMLR 2023 Flexible Phase Dynamics for Bio-Plausible Contrastive Learning ICML 2023 FLIP: Cross-domain Face Anti-spoofing with Language Guidance ICCV 2023 Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023 FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023 FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow NeurIPS 2023 Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion Interspeech 2023 FLSL: Feature-level Self-supervised Learning NeurIPS 2023 Fluency Matters! Controllable Style Transfer with Syntax Guidance ACL 2023 fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation AAAI 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NeurIPS 2023 Focus-attention-enhanced Crossmodal Transformer with Metric Learning for Multimodal Speech Emotion Recognition Interspeech 2023 Focus-aware Response Generation in Inquiry Conversation ACL 2023 Focused and Collaborative Feedback Integration for Interactive Image Segmentation CVPR 2023 Focused Transformer: Contrastive Training for Context Scaling NeurIPS 2023 Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition ACL 2023