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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)

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022 Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ACL 2022 Path-Specific Objectives for Safer Agent Incentives AAAI 2022 PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms COLING 2022 PAUQ: Text-to-SQL in Russian EMNLP 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 PCBERT: Parent and Child BERT for Chinese Few-shot NER COLING 2022 PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings EMNLP 2022 PCL: Proxy-Based Contrastive Learning for Domain Generalization CVPR 2022 PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text EMNLP 2022 PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning ICLR 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NeurIPS 2022 Peer Prediction for Learning Agents NeurIPS 2022 Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America COLING 2022 PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding EMNLP 2022 PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation COLING 2022 Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition AAAI 2022 Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop NeurIPS 2022 Perceptual Learned Video Compression with Recurrent Conditional GAN IJCAI 2022 Perceptual Quality Assessment of Omnidirectional Images AAAI 2022 Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation ACL 2022 Per-Clip Video Object Segmentation CVPR 2022 Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning ICML 2022 Perfect Sampling from Pairwise Comparisons NeurIPS 2022 Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search CVPR 2022