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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)

Crowdsourcing and Aggregating Nested Markable Annotations ACL 2019 Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task ACL 2019 Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms NeurIPS 2019 CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019 CUED@WMT19:EWC&LMs ACL 2019 CUNI Submission for Low-Resource Languages in WMT News 2019 ACL 2019 CUNI Systems for the Unsupervised News Translation Task in WMT 2019 ACL 2019 Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG ACL 2019 Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty ICML 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 Curriculum Learning for Cumulative Return Maximization IJCAI 2019 Customizable Architecture Search for Semantic Segmentation CVPR 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition Interspeech 2019 Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization AAAI 2019 Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019 D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation CVPR 2019 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019 DAL: Dual Adversarial Learning for Dialogue Generation NAACL 2019 DANet: Divergent Activation for Weakly Supervised Object Localization ICCV 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text NAACL 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019