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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)

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings SemEval 2017 QMDIS: QCRI-MIT Advanced Dialect Identification System Interspeech 2017 Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection CVPR 2017 Quantifying how much sensory information in a neural code is relevant for behavior NeurIPS 2017 Quantifying the Effects of Text Duplication on Semantic Models EMNLP 2017 Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ACL 2017 Question Answering through Transfer Learning from Large Fine-grained Supervision Data ACL 2017 Question Asking as Program Generation NeurIPS 2017 Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese ACML 2017 Random Permutation Online Isotonic Regression NeurIPS 2017 Rank Aggregation and Prediction with Item Features AISTATS 2017 Reading Validation for Pronunciation Evaluation in the Digitala Project Interspeech 2017 Real-Time Bidding with Side Information NeurIPS 2017 Real Time Image Saliency for Black Box Classifiers NeurIPS 2017 Real-Time Keyword Extraction from Conversations EACL 2017 REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NeurIPS 2017 Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping Approach IJCNLP 2017 Reconstruct & Crush Network NeurIPS 2017 Reconstructing perceived faces from brain activations with deep adversarial neural decoding NeurIPS 2017 Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017 Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization CVPR 2017 Recurrent Ladder Networks NeurIPS 2017 Re-evaluating Automatic Metrics for Image Captioning EACL 2017 Regional Concept Drift Detection and Density Synchronized Drift Adaptation IJCAI 2017