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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)

Consistency Regularization Training for Compositional Generalization ACL 2023 Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023 Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NeurIPS 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Context-Aware Document Simplification ACL 2023 Context-Aware Pretraining for Efficient Blind Image Decomposition CVPR 2023 Context-Based Trit-Plane Coding for Progressive Image Compression CVPR 2023 Context Consistency Regularization for Label Sparsity in Time Series ICML 2023 Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations ACL 2023 Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering EMNLP 2023 Contextualized Soft Prompts for Extraction of Event Arguments ACL 2023 Contextual Knowledge Learning for Dialogue Generation ACL 2023 Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ACL 2023 Continual Learning with Scaled Gradient Projection AAAI 2023 Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023 Continual Vision-Language Representation Learning with Off-Diagonal Information ICML 2023 Continuous Parametric Optical Flow NeurIPS 2023 Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations CVPR 2023 ContraCLM: Contrastive Learning For Causal Language Model ACL 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023 CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction EMNLP 2023 Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning ICLR 2023 Contrastive Attention Networks for Attribution of Early Modern Print AAAI 2023