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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)

Estimating Causal Effects Using Weighting-Based Estimators AAAI 2020 Estimating Low-Rank Region Likelihood Maps CVPR 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020 Estimating predictive uncertainty for rumour verification models ACL 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic ACL 2020 Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks NeurIPS 2020 Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks ACL 2020 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020 Evade Deep Image Retrieval by Stashing Private Images in the Hash Space CVPR 2020 Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NeurIPS 2020 Evaluating Bias In Dutch Word Embeddings COLING 2020 Evaluating Explanation Methods for Neural Machine Translation ACL 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Evaluating the Factual Consistency of Abstractive Text Summarization EMNLP 2020 Evaluating the Performance of Reinforcement Learning Algorithms ICML 2020 Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity ACL 2020 Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News COLING 2020 Evaluating Weakly Supervised Object Localization Methods Right CVPR 2020 Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020 Evaluation of Coreference Resolution Systems Under Adversarial Attacks EMNLP 2020 Event Extraction as Machine Reading Comprehension EMNLP 2020 Event Extraction as Multi-turn Question Answering EMNLP 2020