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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)

Prior Knowledge-Guided Adversarial Training ACL 2024 PRISM: A New Lens for Improved Color Understanding EMNLP 2024 Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption ICML 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Privileged Prior Information Distillation for Image Matting AAAI 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion CVPR 2024 Probing the 3D Awareness of Visual Foundation Models CVPR 2024 Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance EMNLP 2024 Probing the Emergence of Cross-lingual Alignment during LLM Training ACL 2024 Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents ACL 2024 Procedural Level Generation with Diffusion Models from a Single Example AAAI 2024 ProConSuL: Project Context for Code Summarization with LLMs EMNLP 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024 Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation AAAI 2024 Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024 ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution ACL 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024