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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)

Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract) AAAI 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Rethinking Pre-training and Self-training NeurIPS 2020 Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020 Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020 Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020 Rethinking the Value of Labels for Improving Class-Imbalanced Learning NeurIPS 2020 Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications CVPR 2020 Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View EMNLP 2020 Retrofitting Structure-aware Transformer Language Model for End Tasks EMNLP 2020 Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT EMNLP 2020 Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020 REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments CVPR 2020 Reverse Perspective Network for Perspective-Aware Object Counting CVPR 2020 Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection WACV 2020 Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning AAAI 2020 Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning AAAI 2020 Revisiting Online Quantum State Learning AAAI 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search NeurIPS 2020 Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition CVPR 2020 Revisiting Rumour Stance Classification: Dealing with Imbalanced Data COLING 2020 Revisiting Stochastic Extragradient AISTATS 2020 Revisiting Unsupervised Relation Extraction ACL 2020