Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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

Papers (including subtopics)

Feature Representation Learning With Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition CVPR 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedDAR: Federated Domain-Aware Representation Learning ICLR 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NeurIPS 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 FedFA: Federated Feature Augmentation ICLR 2023 FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces AAAI 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation CVPR 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network AAAI 2023 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023 Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ACL 2023 Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation AAAI 2023 Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023 Few Shot Font Generation Via Transferring Similarity Guided Global Style and Quantization Local Style ICCV 2023 Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory NeurIPS 2023 Few-Shot Geometry-Aware Keypoint Localization CVPR 2023