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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 Arabic Diacritization with Regularized Decoding and Adversarial Training ACL 2021 Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction NAACL 2021 Improving Calibration for Long-Tailed Recognition CVPR 2021 Improving Calibration through the Relationship with Adversarial Robustness NeurIPS 2021 Improving Causal Inference by Increasing Model Expressiveness AAAI 2021 Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021 Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning NeurIPS 2021 Improving Compositional Generalization in Classification Tasks via Structure Annotations ACL 2021 Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents IJCAI 2021 Improving Contrastive Learning by Visualizing Feature Transformation ICCV 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NeurIPS 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets NAACL 2021 Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting ACL 2021 Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures EACL 2021 Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio Interspeech 2021 Improving De-Raining Generalization via Neural Reorganization ICCV 2021 Improving Dialogue State Tracking by Joint Slot Modeling EMNLP 2021 Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning EMNLP 2021 Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations EMNLP 2021 Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation ACL 2021 Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task EMNLP 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Improving Factual Consistency Between a Response and Persona Facts EACL 2021 Improving Factual Consistency of Abstractive Summarization on Customer Feedback ACL 2021