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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 Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data AAAI 2020 Towards Context-Aware End-to-End Code-Switching Speech Recognition Interspeech 2020 Towards Convergence Rate Analysis of Random Forests for Classification NeurIPS 2020 Towards Conversational Recommendation over Multi-Type Dialogs ACL 2020 Towards Debiasing NLU Models from Unknown Biases EMNLP 2020 Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020 Towards Early Diagnosis of Epilepsy from EEG Data MLHC 2020 Towards Embodied Scene Description RSS 2020 Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations ACL 2020 Towards Explainable Conversational Recommendation IJCAI 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CoRL 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation ACL 2020 Towards Inheritable Models for Open-Set Domain Adaptation CVPR 2020 Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance CVPR 2020 Towards Learning a Universal Non-Semantic Representation of Speech Interspeech 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 Towards Machine Translation for the Kurdish Language AACL 2020 Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NeurIPS 2020 Towards Modeling Revision Requirements in wikiHow Instructions EMNLP 2020 Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020 Towards More Practical Adversarial Attacks on Graph Neural Networks NeurIPS 2020 Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) ICML 2020 Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation AACL 2020 Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos AAAI 2020