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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)

Non-Stationary Off-Policy Optimization AISTATS 2021 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NeurIPS 2021 Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction SemEval 2021 NOPE: A Corpus of Naturally-Occurring Presuppositions in English CoNLL 2021 No-Press Diplomacy from Scratch NeurIPS 2021 No-regret Algorithms for Capturing Events in Poisson Point Processes ICML 2021 No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 NORESQA: A Framework for Speech Quality Assessment using Non-Matching References NeurIPS 2021 No RL, No Simulation: Learning to Navigate without Navigating NeurIPS 2021 Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis Interspeech 2021 Normalization Matters in Weakly Supervised Object Localization ICCV 2021 Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement CVPR 2021 Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NeurIPS 2021 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification EMNLP 2021 Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation EMNLP 2021 Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction CVPR 2021 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 NovelD: A Simple yet Effective Exploration Criterion NeurIPS 2021 Novelty Detection via Contrastive Learning with Negative Data Augmentation IJCAI 2021 Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation NeurIPS 2021 NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021 EMNLP 2021 NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions EMNLP 2021 Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021