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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 Geometry-Inspired Decision-Based Attack ICCV 2019 Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation ICCV 2019 Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation IJCAI 2019 A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019 A Hierarchically-Labeled Portuguese Hate Speech Dataset ACL 2019 A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks AAAI 2019 A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ACL 2019 Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets ACL 2019 AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion IJCAI 2019 AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP 2019 A Label Informative Wide & Deep Classifier for Patents and Papers EMNLP 2019 A Large-Scale Corpus for Conversation Disentanglement ACL 2019 A Learnable Safety Measure CoRL 2019 Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment ICCV 2019 Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision ICCV 2019 Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019 Alignment over Heterogeneous Embeddings for Question Answering NAACL 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers EMNLP 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services AAAI 2019 Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NeurIPS 2019 (Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus ACL 2019