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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction ACL 2023 S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering ACL 2023 SAAL: Sharpness-Aware Active Learning ICML 2023 Safe Multi-View Deep Classification AAAI 2023 SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection ICCV 2023 Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems EMNLP 2023 Saliency Regularization for Self-Training with Partial Annotations ICCV 2023 Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Sampling Better Negatives for Distantly Supervised Named Entity Recognition ACL 2023 SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives ACL 2023 SANA at NADI 2023 shared task: Ensemble of Layer-Wise BERT-based models for Dialectal Arabic Identification EMNLP 2023 SANGEA: Scalable and Attributed Network Generation ACML 2023 SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition ACL 2023 SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection AAAI 2023 SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning NeurIPS 2023 Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation NeurIPS 2023 SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data ICCV 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 Scalable Spatiotemporal Graph Neural Networks AAAI 2023 Scalable Theory-Driven Regularization of Scene Graph Generation Models AAAI 2023 ScaleDet: A Scalable Multi-Dataset Object Detector CVPR 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023