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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)

A Unified View of Multi-Label Performance Measures ICML 2017 Autoencoder Regularized Network For Driving Style Representation Learning IJCAI 2017 Automated Curriculum Learning for Neural Networks ICML 2017 Automatically augmenting an emotion dataset improves classification using audio EACL 2017 Automatically Labeled Data Generation for Large Scale Event Extraction ACL 2017 Automatic Compositor Attribution in the First Folio of Shakespeare ACL 2017 Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories CVPR 2017 Automatic Labelling of Prosodic Prominence, Phrasing and Disfluencies in French Speech by Simulating the Perception of Naïve and Expert Listeners Interspeech 2017 Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning IJCAI 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 Avoiding Discrimination through Causal Reasoning NeurIPS 2017 BabelDomains: Large-Scale Domain Labeling of Lexical Resources EACL 2017 Backstitch: Counteracting Finite-Sample Bias via Negative Steps Interspeech 2017 Balancing information exposure in social networks NeurIPS 2017 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017 Bayesian GAN NeurIPS 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NeurIPS 2017 Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation ACL 2017 Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN IJCAI 2017 Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization NeurIPS 2017 Bidirectional Modelling for Short Duration Language Identification Interspeech 2017 Bidirectional Multirate Reconstruction for Temporal Modeling in Videos CVPR 2017 Binary Linear Compression for Multi-label Classification IJCAI 2017