Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness CVPR 2024 Phonetic and Lexical Discovery of Canine Vocalization EMNLP 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction NeurIPS 2024 Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World CVPR 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics CoRL 2024 Physics-Aware Hand-Object Interaction Denoising CVPR 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NeurIPS 2024 PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion CVPR 2024 Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence ACML 2024 PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns CVPR 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 PIGEON: Predicting Image Geolocations CVPR 2024 PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs CVPR 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion EMNLP 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 Pitfalls and Outlooks in Using COMET EMNLP 2024 PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation NeurIPS 2024 pix2gestalt: Amodal Segmentation by Synthesizing Wholes CVPR 2024 Pixel-Aligned Language Model CVPR 2024 Pixel-Grounded Prototypical Part Networks WACV 2024