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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)

Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning Interspeech 2023 Exploration of multilingual prompts in document-grounded dialogue ACL 2023 Exploration of Open Large Language Models for eDiscovery EMNLP 2023 Exploratory Inference Learning for Scribble Supervised Semantic Segmentation AAAI 2023 Explore In-Context Learning for 3D Point Cloud Understanding NeurIPS 2023 Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration EMNLP 2023 Explore to Generalize in Zero-Shot RL NeurIPS 2023 Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion Interspeech 2023 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification CVPR 2023 Exploring and Utilizing Pattern Imbalance CVPR 2023 Exploring Chain of Thought Style Prompting for Text-to-SQL EMNLP 2023 Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023 Exploring CLIP for Assessing the Look and Feel of Images AAAI 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 Exploring Continual Learning for Code Generation Models ACL 2023 Exploring Data Geometry for Continual Learning CVPR 2023 Exploring Downstream Transfer of Self-Supervised Features for Speech Emotion Recognition Interspeech 2023 Exploring Geometry of Blind Spots in Vision models NeurIPS 2023 Exploring Graph Pre-training for Aspect-based Sentiment Analysis EMNLP 2023 Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays MIDL 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring In-Context Learning for Knowledge Grounded Dialog Generation EMNLP 2023 Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis CVPR 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Exploring Lottery Prompts for Pre-trained Language Models ACL 2023