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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)

Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms NeurIPS 2020 Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning ACL 2020 Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation AAAI 2020 Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods ICML 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Fastened CROWN: Tightened Neural Network Robustness Certificates AAAI 2020 Faster Projection-free Online Learning COLT 2020 Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning CVPR 2020 Fast is better than free: Revisiting adversarial training ICLR 2020 FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria AAAI 2020 Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting AAAI 2020 Fast Rates for Online Prediction with Abstention COLT 2020 Fast Template Matching and Update for Video Object Tracking and Segmentation CVPR 2020 Fatigue-Aware Bandits for Dependent Click Models AAAI 2020 FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection SemEval 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020 FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data Interspeech 2020 Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP 2020 Feature Deformation Meta-Networks in Image Captioning of Novel Objects AAAI 2020 Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations MIDL 2020 Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences CVPR 2020 Federated Learning with Only Positive Labels ICML 2020 FELIX: Flexible Text Editing Through Tagging and Insertion EMNLP 2020 FERNet: Fine-grained Extraction and Reasoning Network for Emotion Recognition in Dialogues AACL 2020 FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020