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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)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning NAACL 2022 TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data EMNLP 2022 Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature COLING 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NeurIPS 2022 Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot CoRL 2022 Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation WACV 2022 TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training NeurIPS 2022 Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation COLING 2022 TamilATIS: Dataset for Task-Oriented Dialog in Tamil ACL 2022 TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification ICML 2022 Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription Interspeech 2022 TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction NeurIPS 2022 Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection CVPR 2022 Targeted Supervised Contrastive Learning for Long-Tailed Recognition CVPR 2022 Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection COLING 2022 Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection CVPR 2022 TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022 TaSIL: Taylor Series Imitation Learning NeurIPS 2022 Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data CVPR 2022 Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition CVPR 2022 Task-Agnostic Graph Explanations NeurIPS 2022 Task Compass: Scaling Multi-task Pre-training with Task Prefix EMNLP 2022 Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022 Task-Free Continual Learning via Online Discrepancy Distance Learning NeurIPS 2022 Task-guided Disentangled Tuning for Pretrained Language Models ACL 2022