conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

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

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

24

14

20

29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 Few-Shot Object Counting With Similarity-Aware Feature Enhancement WACV 2023 Few-Shot Object Detection via Improved Classification Features WACV 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems Interspeech 2023 Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation ICCV 2023 Few Shot Rationale Generation using Self-Training with Dual Teachers ACL 2023 Few-Shot Referring Relationships in Videos CVPR 2023 Few-Shot Semantic Image Synthesis With Class Affinity Transfer CVPR 2023 Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation IJCAI 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data SemEval 2023 Finding Local Minima Efficiently in Decentralized Optimization NeurIPS 2023 Findings from the Bambara - French Machine Translation Competition (BFMT 2023) EACL 2023 Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model EACL 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 Fine-Tuned CLIP Models Are Efficient Video Learners CVPR 2023 Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023 Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023