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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)

Target-Side Augmentation for Document-Level Machine Translation ACL 2023 Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023 TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation ACL 2023 Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation EMNLP 2023 Task-Aware Information Routing from Common Representation Space in Lifelong Learning ICLR 2023 Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing EMNLP 2023 Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task EMNLP 2023 Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System ACL 2023 Task Residual for Tuning Vision-Language Models CVPR 2023 Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification CVPR 2023 TaskWeb: Selecting Better Source Tasks for Multi-task NLP EMNLP 2023 TAVT: Towards Transferable Audio-Visual Text Generation ACL 2023 Taxonomy-Structured Domain Adaptation ICML 2023 TCE at Qur’an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur’anic QA EMNLP 2023 TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction EMNLP 2023 T-distributed Spherical Feature Representation for Imbalanced Classification AAAI 2023 Teacher and Student Models of Offensive Language in Social Media ACL 2023 Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models CVPR 2023 Teacher Guided Training: An Efficient Framework for Knowledge Transfer ICLR 2023 Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers EACL 2023 Teaching Matters: Investigating the Role of Supervision in Vision Transformers CVPR 2023 Teaching Small Language Models to Reason ACL 2023 Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification ACL 2023 Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes ACL 2023 TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline ACL 2023