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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)

Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection NAACL 2018 Leveraging Latent Label Distributions for Partial Label Learning IJCAI 2018 Leveraging Unlabeled Data for Crowd Counting by Learning to Rank CVPR 2018 Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis EMNLP 2018 Lexical and Acoustic Deep Learning Model for Personality Recognition Interspeech 2018 Lexicosyntactic Inference in Neural Models EMNLP 2018 Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NeurIPS 2018 Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Lightly Supervised vs. Semi-supervised Training of Acoustic Model on Luxembourgish for Low-resource Automatic Speech Recognition Interspeech 2018 Lightweight Label Propagation for Large-Scale Network Data IJCAI 2018 Lightweight Unsupervised Deep Loop Closure RSS 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 Ling@CASS Solution to the NLP-TEA CGED Shared Task 2018 ACL 2018 Linguistically-Informed Self-Attention for Semantic Role Labeling EMNLP 2018 Linguistic representations in multi-task neural networks for ellipsis resolution EMNLP 2018 Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification EMNLP 2018 Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks NeurIPS 2018 Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation IJCAI 2018 Localized Incomplete Multiple Kernel k-means IJCAI 2018 Locally Private Hypothesis Testing ICML 2018 Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain EMNLP 2018 Long short-term memory and Learning-to-learn in networks of spiking neurons NeurIPS 2018 Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences NAACL 2018