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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)

Weakly Supervised Dense Video Captioning CVPR 2017 Weakly-Supervised Phrase Assignment from Text in a Speech-Synthesis System Using Noisy Labels Interspeech 2017 Weakly Supervised Semantic Segmentation Using Web-Crawled Videos CVPR 2017 Weakly-Supervised Visual Grounding of Phrases With Linguistic Structures CVPR 2017 Webly Supervised Semantic Segmentation CVPR 2017 What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017 What is it? Disambiguating the different readings of the pronoun ‘it’ EMNLP 2017 What is the Essence of a Claim? Cross-Domain Claim Identification EMNLP 2017 What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications ICML 2017 When is multitask learning effective? Semantic sequence prediction under varying data conditions EACL 2017 When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty IJCAI 2017 When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators IJCAI 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL 2017 Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017 Why Can't You Convince Me? Modeling Weaknesses in Unpersuasive Arguments IJCAI 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation CVPR 2017 WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling SemEval 2017 Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations IJCNLP 2017 Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison EACL 2017 World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 YOLO9000: Better, Faster, Stronger CVPR 2017 YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video CVPR 2017