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)

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages EMNLP 2024 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024 Self-Distilled Depth Refinement with Noisy Poisson Fusion NeurIPS 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 Self-Guided Masked Autoencoder NeurIPS 2024 SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation CVPR 2024 Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining IJCAI 2024 Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NeurIPS 2024 Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning AAAI 2024 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation NeurIPS 2024 Self-Supervised Audio-Visual Soundscape Stylization ECCV 2024 Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals AAAI 2024 Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations CVPR 2024 Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction AAAI 2024 Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data AAAI 2024 Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024 Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes AAAI 2024 Self-Supervised Position Debiasing for Large Language Models ACL 2024 Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024 Self-Supervised Relation Alignment for Scene Graph Generation WACV 2024 Self-Supervised Representation Learning from Arbitrary Scenarios CVPR 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024 Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion ACL 2024