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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)

Protecting Split Learning by Potential Energy Loss IJCAI 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 ProtT3: Protein-to-Text Generation for Text-based Protein Understanding ACL 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Provable Contrastive Continual Learning ICML 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output EMNLP 2024 ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance WACV 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts NeurIPS 2024 PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation CVPR 2024 PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation CVPR 2024 Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery EMNLP 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NeurIPS 2024 PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer EMNLP 2024 pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation WACV 2024 PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping AAAI 2024 Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network CVPR 2024 PuLID: Pure and Lightning ID Customization via Contrastive Alignment NeurIPS 2024 Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text EACL 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Pure-Past Action Masking AAAI 2024 Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation ACL 2024