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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)

Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024 CoSy: Evaluating Textual Explanations of Neurons NeurIPS 2024 CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding ICLR 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024 Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract) AAAI 2024 Countering Relearning with Perception Revising Unlearning ACML 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 CountGD: Multi-Modal Open-World Counting NeurIPS 2024 Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model NeurIPS 2024 Course-Correction: Safety Alignment Using Synthetic Preferences EMNLP 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 CoVR: Learning Composed Video Retrieval from Web Video Captions AAAI 2024 cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers NeurIPS 2024 CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement CVPR 2024 CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment CVPR 2024 CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024 Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions NeurIPS 2024 Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs EMNLP 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning ACL 2024 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection ICML 2024 CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning ECCV 2024 CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues AAAI 2024 Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks AAAI 2024