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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)

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NeurIPS 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 DivideMix: Learning with Noisy Labels as Semi-supervised Learning ICLR 2020 DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data CVPR 2020 DNNs as Layers of Cooperating Classifiers AAAI 2020 Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020 DocBank: A Benchmark Dataset for Document Layout Analysis COLING 2020 Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding ACL 2020 Document Level NMT of Low-Resource Languages with Backtranslation EMNLP 2020 Document Ranking with a Pretrained Sequence-to-Sequence Model EMNLP 2020 Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No WACV 2020 Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation ACL 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020 Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020 Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NeurIPS 2020 Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP 2020 Do GANs always have Nash equilibria? ICML 2020 Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble EMNLP 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NeurIPS 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020 Domain Adaptive Classification on Heterogeneous Information Networks IJCAI 2020 Domain Adaptive Imitation Learning ICML 2020 Domain Adversarial Neural Networks for Dysarthric Speech Recognition Interspeech 2020 Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020