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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)

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition CVPR 2019 Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness IJCAI 2019 Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content AAAI 2019 Feature Space Perturbations Yield More Transferable Adversarial Examples CVPR 2019 Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019 Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019 Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector SemEval 2019 FEVER Breaker’s Run of Team NbAuzDrLqg EMNLP 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019 Few-Shot Adaptive Faster R-CNN CVPR 2019 Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019 Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP 2019 Few-Shot Audio Classification with Attentional Graph Neural Networks Interspeech 2019 Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding AAAI 2019 Few-Shot Learning With Global Class Representations ICCV 2019 Few-Shot Learning With Localization in Realistic Settings CVPR 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Few-Shot Unsupervised Image-to-Image Translation ICCV 2019 Few-shot Video-to-Video Synthesis NeurIPS 2019 FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference CVPR 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection ACL 2019 Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection ACL 2019 Financial Event Extraction Using Wikipedia-Based Weak Supervision EMNLP 2019 Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? AAAI 2019