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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)

Time-Equivariant Contrastive Video Representation Learning ICCV 2021 Time-Independent Planning for Multiple Moving Agents AAAI 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 Time-series Generation by Contrastive Imitation NeurIPS 2021 Time-Series Representation Learning via Temporal and Contextual Contrasting IJCAI 2021 TIME: Text and Image Mutual-Translation Adversarial Networks AAAI 2021 Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff AAAI 2021 TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning ICCV 2021 TMU NMT System with Japanese BART for the Patent task of WAT 2021 ACL 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs NeurIPS 2021 To be Robust or to be Fair: Towards Fairness in Adversarial Training ICML 2021 To Block or not to Block: Experiments with Machine Learning for News Comment Moderation EACL 2021 Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021 Token-Level Supervised Contrastive Learning for Punctuation Restoration Interspeech 2021 Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data ICLR 2021 Tool for Automated Tax Coding of Invoices AAAI 2021 Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization EMNLP 2021 Topic-Aware Multi-turn Dialogue Modeling AAAI 2021 Topic-Guided Abstractive Multi-Document Summarization EMNLP 2021 Topic Modeling for Maternal Health Using Reddit EACL 2021 TopicNet: Semantic Graph-Guided Topic Discovery NeurIPS 2021 Topic Scene Graph Generation by Attention Distillation From Caption ICCV 2021