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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)

Non-convolutional graph neural networks. NeurIPS 2024 Non-stationary Domain Generalization: Theory and Algorithm UAI 2024 No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor CVPR 2024 Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024 Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation CVPR 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation CVPR 2024 No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations NeurIPS 2024 Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024 Novel View Synthesis with View-Dependent Effects from a Single Image CVPR 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NeurIPS 2024 NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach ACL 2024 Nuclear Fusion Diamond Polishing Dataset NeurIPS 2024 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024 NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection ACL 2024 O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation ECCV 2024 Object Attribute Matters in Visual Question Answering AAAI 2024 Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering AAAI 2024 Object Aware Contrastive Prior for Interactive Image Segmentation WACV 2024 Object-Aware Domain Generalization for Object Detection AAAI 2024 Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval ECCV 2024 Object Recognition as Next Token Prediction CVPR 2024