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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 Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection NAACL 2021 Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task WACV 2021 Improving Formality Style Transfer with Context-Aware Rule Injection ACL 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Generative Moment Matching Networks with Distribution Partition AAAI 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021 Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings EMNLP 2021 Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021 Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) AAAI 2021 Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning EMNLP 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021 Improving Multilingual Neural Machine Translation with Auxiliary Source Languages EMNLP 2021 Improving Multimodal fusion via Mutual Dependency Maximisation EMNLP 2021 Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning ACL 2021 Improving Neural RST Parsing Model with Silver Agreement Subtrees NAACL 2021 Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection WACV 2021 Improving Predictors via Combination Across Diverse Task Categories ICML 2021 Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment ACL 2021 Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning NAACL 2021 Improving Punctuation Restoration for Speech Transcripts via External Data EMNLP 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) JMLR 2021 Improving RNN-T ASR Accuracy Using Context Audio Interspeech 2021