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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)

Question Translation Training for Better Multilingual Reasoning ACL 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos CVPR 2024 R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation EMNLP 2024 RA2FD: Distilling Faithfulness into Efficient Dialogue Systems EMNLP 2024 RAFT: Realistic Attacks to Fool Text Detectors EMNLP 2024 RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance EMNLP 2024 RAG-Fusion Based Information Retrieval for Fact-Checking EMNLP 2024 RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation EMNLP 2024 RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024 RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering EMNLP 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024 RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024 RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness NeurIPS 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024 Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks UAI 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning WACV 2024 Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels CVPR 2024 Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies ACL 2024 RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation CVPR 2024 RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024