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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)

Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration CVPR 2024 Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models EMNLP 2024 PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024 PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis CVPR 2024 p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models AAAI 2024 Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues ACL 2024 PLIP: Language-Image Pre-training for Person Representation Learning NeurIPS 2024 Plot Retrieval as an Assessment of Abstract Semantic Association ACL 2024 Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details EMNLP 2024 Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception ECCV 2024 Plug-and-Play Diffusion Distillation CVPR 2024 Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring IJCAI 2024 Plug-In Diffusion Model for Sequential Recommendation AAAI 2024 PMAC: Personalized Multi-Agent Communication AAAI 2024 PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition AAAI 2024 PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields AAAI 2024 PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping AAAI 2024 Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition AAAI 2024 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NeurIPS 2024 Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning NeurIPS 2024 Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection AAAI 2024 Point Cloud Pre-training with Diffusion Models CVPR 2024 PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification AAAI 2024 Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024 PointMamba: A Simple State Space Model for Point Cloud Analysis NeurIPS 2024