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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)

A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021 A Comparative Survey: Benchmarking for Pool-based Active Learning IJCAI 2021 A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models Interspeech 2021 A Comprehensive Assessment of Dialog Evaluation Metrics EMNLP 2021 A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. EMNLP 2021 A Context Aware Approach for Generating Natural Language Attacks AAAI 2021 A Contextual Bandit Bake-off JMLR 2021 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 A Contrastive Learning Approach for Training Variational Autoencoder Priors NeurIPS 2021 A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German EMNLP 2021 Acoustic Event Detection with Classifier Chains Interspeech 2021 Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech Interspeech 2021 Acoustic Scene Classification Using Kervolution-Based SubSpectralNet Interspeech 2021 Acquiring a Formality-Informed Lexical Resource for Style Analysis EACL 2021 A Critique of Self-Expressive Deep Subspace Clustering ICLR 2021 A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline EACL 2021 ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization AAAI 2021 Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition Interspeech 2021 Acting in Delayed Environments with Non-Stationary Markov Policies ICLR 2021 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021 ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces AAAI 2021 Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021 Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos WACV 2021 Action Shuffle Alternating Learning for Unsupervised Action Segmentation CVPR 2021 Action Unit Memory Network for Weakly Supervised Temporal Action Localization CVPR 2021