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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 Progressive Model to Enable Continual Learning for Semantic Slot Filling EMNLP 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification ACL 2019 Are adversarial examples inevitable? ICLR 2019 Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019 A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion ICML 2019 Are Disentangled Representations Helpful for Abstract Visual Reasoning? NeurIPS 2019 Are Generative Classifiers More Robust to Adversarial Attacks? ICML 2019 Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization ACL 2019 A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019 A Regularization-based Framework for Bilingual Grammar Induction EMNLP 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019 A Repository of Conversational Datasets ACL 2019 Are Red Roses Red? Evaluating Consistency of Question-Answering Models ACL 2019 Are sample means in multi-armed bandits positively or negatively biased? NeurIPS 2019 AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019 A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity ACL 2019 Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019 ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal ICCV 2019 ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification ACL 2019 A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions NeurIPS 2019 A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019 ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables ICML 2019 Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation CVPR 2019