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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)

Towards Cross-speaker Reading Style Transfer on Audiobook Dataset Interspeech 2022 Towards Data-Free Model Stealing in a Hard Label Setting CVPR 2022 Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning CVPR 2022 Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces AAAI 2022 Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking CVPR 2022 Towards Disentangled Speech Representations Interspeech 2022 Towards Driving-Oriented Metric for Lane Detection Models CVPR 2022 Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization NeurIPS 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Towards Enhancing Health Coaching Dialogue in Low-Resource Settings COLING 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction ICLR 2022 Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts COLING 2022 Towards Explaining Subjective Ground of Individuals on Social Media EMNLP 2022 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework ACL 2022 Towards Few-Shot Identification of Morality Frames using In-Context Learning EMNLP 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Towards Generalizable and Robust Text-to-SQL Parsing EMNLP 2022 Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture CVPR 2022 Towards high-fidelity singing voice conversion with acoustic reference and contrastive predictive coding Interspeech 2022 Towards Improved Zero-shot Voice Conversion with Conditional DSVAE Interspeech 2022 Towards Improving Selective Prediction Ability of NLP Systems ACL 2022 Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework EMNLP 2022 Towards Joint Intent Detection and Slot Filling via Higher-order Attention IJCAI 2022