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

3

2

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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)

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data ICLR 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 Sample-specific Masks for Visual Reprogramming-based Prompting ICML 2024 Samsung R&D Institute Philippines @ WMT 2024 Low-resource Languages of Spain Shared Task EMNLP 2024 SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset COLING 2024 SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection AAAI 2024 SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge AAAI 2024 Scalable and Domain-General Abstractive Proposition Segmentation EMNLP 2024 Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes NeurIPS 2024 Scalable Data Ablation Approximations for Language Models through Modular Training and Merging EMNLP 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Scalable Language Model with Generalized Continual Learning ICLR 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated Text SemEval 2024 ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale ACL 2024 Scale Equivariant Graph Metanetworks NeurIPS 2024 SCALE: Synergized Collaboration of Asymmetric Language Translation Engines ACL 2024 ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024 Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024 Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers NeurIPS 2024 Scaling up masked audio encoder learning for general audio classification Interspeech 2024