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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)

Parallel sentences mining with transfer learning in an unsupervised setting NAACL 2021 Parallel Text Alignment and Monolingual Parallel Corpus Creation from Philosophical Texts for Text Simplification NAACL 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds COLT 2021 Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021 Parameter Selection: Why We Should Pay More Attention to It ACL 2021 Parametric Contrastive Learning ICCV 2021 Parametric Graph for Unimodal Ranking Bandit ICML 2021 Paraphrase Generation: A Survey of the State of the Art EMNLP 2021 Paraphrasing Compound Nominalizations EMNLP 2021 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021 Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021 PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition NeurIPS 2021 ParsFEVER: a Dataset for Farsi Fact Extraction and Verification ACL 2021 ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian EMNLP 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 Partially Observed Exchangeable Modeling ICML 2021 Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss CVPR 2021 Partial Multi-Label Optimal Margin Distribution Machine IJCAI 2021 Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning ICCV 2021 Partial Person Re-Identification With Part-Part Correspondence Learning CVPR 2021 Partial success in closing the gap between human and machine vision NeurIPS 2021 Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning MIDL 2021 Partition-Guided GANs CVPR 2021