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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)

DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023 DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages EMNLP 2023 DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023 DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining EMNLP 2023 DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles ACL 2023 DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition ACL 2023 Discourse Information for Document-Level Temporal Dependency Parsing ACL 2023 Discourse-Level Representations can Improve Prediction of Degree of Anxiety ACL 2023 Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues EACL 2023 Discover and Cure: Concept-aware Mitigation of Spurious Correlation ICML 2023 Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Interspeech 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NeurIPS 2023 Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach EMNLP 2023 Discovering Informative and Robust Positives for Video Domain Adaptation ICLR 2023 Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions NeurIPS 2023 Discovering Language Model Behaviors with Model-Written Evaluations ACL 2023 Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023 Discovering Object-Centric Generalized Value Functions From Pixels ICML 2023 Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality ICLR 2023 Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning ICML 2023 Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification ICCV 2023 Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation ICLR 2023 Discrete Diffusion Probabilistic Models for Symbolic Music Generation IJCAI 2023 Discrete Key-Value Bottleneck ICML 2023