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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)

Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks CVPR 2017 Unsupervised Pretraining for Sequence to Sequence Learning EMNLP 2017 Unsupervised Representation Learning Using Convolutional Restricted Boltzmann Machine for Spoof Speech Detection Interspeech 2017 Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context IJCNLP 2017 Unsupervised Semantic Scene Labeling for Streaming Data CVPR 2017 Unsupervised Sequence Classification using Sequential Output Statistics NeurIPS 2017 Unsupervised Sequential Sensor Acquisition AISTATS 2017 Unsupervised Speech Signal to Symbol Transformation for Zero Resource Speech Applications Interspeech 2017 Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017 Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes EACL 2017 Unsupervised Transformation Learning via Convex Relaxations NeurIPS 2017 Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion CVPR 2017 Unsupervised Video Summarization With Adversarial LSTM Networks CVPR 2017 Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos CVPR 2017 UntrimmedNets for Weakly Supervised Action Recognition and Detection CVPR 2017 UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic SemEval 2017 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017 Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification IJCNLP 2017 Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning IJCAI 2017 Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm EMNLP 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning EMNLP 2017 Using Twitter Language to Predict the Real Estate Market EACL 2017