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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)

Prioritized Level Replay ICML 2021 Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation ICCV 2021 Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification Interspeech 2021 Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021 PR-Net: Preference Reasoning for Personalized Video Highlight Detection ICCV 2021 Proactive Privacy-preserving Learning for Retrieval AAAI 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Probabilistic Model Distillation for Semantic Correspondence CVPR 2021 Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021 Probabilistic Transformer For Time Series Analysis NeurIPS 2021 Probability Paths and the Structure of Predictions over Time NeurIPS 2021 Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents EACL 2021 Probing Language Models for Understanding of Temporal Expressions EMNLP 2021 Probing Multilingual Language Models for Discourse ACL 2021 Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021 Procrustean Training for Imbalanced Deep Learning ICCV 2021 Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining ICCV 2021 Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction NAACL 2021 Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021 Progressive Correspondence Pruning by Consensus Learning ICCV 2021 Progressive Domain Expansion Network for Single Domain Generalization CVPR 2021 Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences CVPR 2021 Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021