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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)

Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation EMNLP 2021 Content-based Models of Quotation EACL 2021 Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum NAACL 2021 Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021 Context-Aware Scene Graph Generation With Seq2Seq Transformers ICCV 2021 Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation ICCV 2021 Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021 Context-Specific Likelihood Weighting AISTATS 2021 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis NAACL 2021 Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity ACL 2021 Contextualized Perturbation for Textual Adversarial Attack NAACL 2021 Contextualized Rewriting for Text Summarization AAAI 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms NeurIPS 2021 Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems Interspeech 2021 Contextual Transformation Networks for Online Continual Learning ICLR 2021 Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021 Continual Auxiliary Task Learning NeurIPS 2021 Continual Few-Shot Learning for Text Classification EMNLP 2021 Continual General Chunking Problem and SyncMap AAAI 2021 Continual Learning by Using Information of Each Class Holistically AAAI 2021 Continual Learning for Fake Audio Detection Interspeech 2021 Continual Learning for Image-Based Camera Localization ICCV 2021 Continual Learning for Named Entity Recognition AAAI 2021 Continual Learning for Neural Machine Translation NAACL 2021