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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)

Authorship Attribution of Late 19th Century Novels using GAN-BERT ACL 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics AAAI 2023 AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models ACL 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023 AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation CVPR 2023 Automated Classification of Model Errors on ImageNet NeurIPS 2023 Automated Few-Shot Classification with Instruction-Finetuned Language Models EMNLP 2023 Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations ACL 2023 Automatically Auditing Large Language Models via Discrete Optimization ICML 2023 Automatically marginalized MCMC in probabilistic programming ICML 2023 Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism Interspeech 2023 Automatic Analysis of Substantiation in Scientific Peer Reviews EMNLP 2023 Automatic Annotation of Direct Speech in Written French Narratives ACL 2023 Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features Interspeech 2023 Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions AISTATS 2023 Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations ACL 2023 Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations Interspeech 2023 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023 Automatic Readability Assessment for Closely Related Languages ACL 2023 Automatic Reflection Generation for Peer-to-Peer Counseling EMNLP 2023 Automatic Table Union Search with Tabular Representation Learning ACL 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023 Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study EMNLP 2023