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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)

Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023 Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization AAAI 2023 Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers ICCV 2023 Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks NeurIPS 2023 Cross-modal Scalable Hyperbolic Hierarchical Clustering ICCV 2023 Cross-Modal Semantic Alignment before Fusion for Two-Pass End-to-End Spoken Language Understanding Interspeech 2023 Cross-Modal Semantic Enhanced Interaction for Image-Sentence Retrieval WACV 2023 Cross Modal Transformer: Towards Fast and Robust 3D Object Detection ICCV 2023 Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning ACL 2023 Cross-Regional Fraud Detection via Continual Learning (Student Abstract) AAAI 2023 Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing NeurIPS 2023 CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023 Cross-task Knowledge Transfer for Extremely Weakly Supervised Text Classification ACL 2023 Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training ACL 2023 Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering ICCV 2023 CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model CVPR 2023 CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL EMNLP 2023 Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023 CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection ICCV 2023 CSECU-DSG at SemEval-2023 Task 6: Segmenting Legal Documents into Rhetorical Roles via Fine-tuned Transformer Architecture SemEval 2023 C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation CVPR 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation NeurIPS 2023 CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion NeurIPS 2023