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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)

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning NeurIPS 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Unifying Visual and Vision-Language Tracking via Contrastive Learning AAAI 2024 Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024 UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence CVPR 2024 UniHuman: A Unified Model For Editing Human Images in the Wild CVPR 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024 UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause EMNLP 2024 UniMODE: Unified Monocular 3D Object Detection CVPR 2024 UniPAD: A Universal Pre-training Paradigm for Autonomous Driving CVPR 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024 Unity by Diversity: Improved Representation Learning for Multimodal VAEs NeurIPS 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 Universal Humanoid Motion Representations for Physics-Based Control ICLR 2024 Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues ICML 2024 Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction WACV 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 Unlearning Traces the Influential Training Data of Language Models ACL 2024 Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring EMNLP 2024 Unleashing Network Potentials for Semantic Scene Completion CVPR 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NeurIPS 2024 Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models EMNLP 2024