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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)

Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS Interspeech 2021 Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks ICCV 2021 Improving Robustness using Generated Data NeurIPS 2021 Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration NeurIPS 2021 Improving Sequential Recommendation Consistency with Self-Supervised Imitation IJCAI 2021 Improving Similar Language Translation With Transfer Learning EMNLP 2021 Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation EMNLP 2021 Improving Streaming Transformer Based ASR Under a Framework of Self-Supervised Learning Interspeech 2021 Improving Text Generation with Dynamic Masking and Recovering IJCAI 2021 Improving the Efficiency and Effectiveness for BERT-based Entity Resolution AAAI 2021 Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation NAACL 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions AAAI 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract) AAAI 2021 Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation EMNLP 2021 Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision NeurIPS 2021 Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference EMNLP 2021 Improving Unsupervised Image Clustering With Robust Learning CVPR 2021 Improving Unsupervised Question Answering via Summarization-Informed Question Generation EMNLP 2021 Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning MIDL 2021 Improving Weakly Supervised Sound Event Detection with Self-Supervised Auxiliary Tasks Interspeech 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation CVPR 2021 Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph NAACL 2021 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021