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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)

Evaluating morphological typology in zero-shot cross-lingual transfer ACL 2021 Evaluating Multiway Multilingual NMT in the Turkic Languages EMNLP 2021 Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? ICML 2021 Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks NAACL 2021 Evaluating the Evaluation of Diversity in Natural Language Generation EACL 2021 Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation ACL 2021 Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations EMNLP 2021 Evaluations and Methods for Explanation through Robustness Analysis ICLR 2021 Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes ACL 2021 Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks CoRL 2021 Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings EACL 2021 Event Representation with Sequential, Semi-Supervised Discrete Variables NAACL 2021 Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation CVPR 2021 Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction EMNLP 2021 Evidence-based Factual Error Correction ACL 2021 EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels WACV 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021 Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation ICCV 2021 Excess Capacity and Backdoor Poisoning NeurIPS 2021 Exemplar-Based Open-Set Panoptic Segmentation Network CVPR 2021 ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data ACML 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021