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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)

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training EMNLP 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Unlocking the Potential of Model Merging for Low-Resource Languages EMNLP 2024 Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024 Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024 Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising CVPR 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024 Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation CVPR 2024 Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024 UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes CVPR 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 Unsupervised Blind Image Deblurring Based on Self-Enhancement CVPR 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 Unsupervised Discrete Representations of American Sign Language EMNLP 2024 Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding ACL 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies AAAI 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024 Unsupervised Feature Selection towards Pattern Discrimination Power UAI 2024 Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance EMNLP 2024 Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NeurIPS 2024 Unsupervised Human Preference Learning EMNLP 2024 Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL 2024