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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Attentive Weights Generation for Few Shot Learning via Information Maximization CVPR 2020 Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding Interspeech 2020 Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation AAAI 2020 Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020 Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020 Attribute Prototype Network for Zero-Shot Learning NeurIPS 2020 A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification COLING 2020 A Two-Stage Masked LM Method for Term Set Expansion ACL 2020 A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings EMNLP 2020 AUC Optimization with a Reject Option AAAI 2020 Audiovisual Correspondence Learning in Humans and Machines Interspeech 2020 Audio-Visual Model Distillation Using Acoustic Images WACV 2020 Augmented Natural Language for Generative Sequence Labeling EMNLP 2020 Augmenting GAIL with BC for sample efficient imitation learning CoRL 2020 Augmenting Generative Adversarial Networks for Speech Emotion Recognition Interspeech 2020 Augmenting Images for ASR and TTS Through Single-Loop and Dual-Loop Multimodal Chain Framework Interspeech 2020 Augmenting Turn-Taking Prediction with Wearable Eye Activity During Conversation Interspeech 2020 Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020 A U-Net Based Discriminator for Generative Adversarial Networks CVPR 2020 A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains AAAI 2020 A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments Interspeech 2020 A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020 A Unified Model for Financial Event Classification, Detection and Summarization IJCAI 2020 A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020