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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)

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024 Foundation Model for Biomedical Graphs: Integrating Knowledge Graphs and Protein Structures to Large Language Models ACL 2024 FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects CVPR 2024 FOUND: Foot Optimization With Uncertain Normals for Surface Deformation Using Synthetic Data WACV 2024 FouRA: Fourier Low-Rank Adaptation NeurIPS 2024 Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D ICLR 2024 Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays ACL 2024 Free3D: Consistent Novel View Synthesis without 3D Representation CVPR 2024 FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition CVPR 2024 FreeDrag: Feature Dragging for Reliable Point-based Image Editing CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024 FreeKD: Knowledge Distillation via Semantic Frequency Prompt CVPR 2024 Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NeurIPS 2024 FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024 Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NeurIPS 2024 Frequency-Adaptive Pan-Sharpening with Mixture of Experts AAAI 2024 Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning AAAI 2024 Frequency-aware Generative Models for Multivariate Time Series Imputation NeurIPS 2024 Frequency-Aware Transformer for Learned Image Compression ICLR 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector AAAI 2024 FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation CVPR 2024 FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations WACV 2024 From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations CVPR 2024