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

4

12

24

14

20

29

31

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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'15

'20

'25

Papers (including subtopics)

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging ICLR 2024 Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 Aligning Large Language Models with Recommendation Knowledge NAACL 2024 Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence IJCAI 2024 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024 Alson at NADI 2024 shared task: Alson - A fine-tuned model for Arabic Dialect Translation ACL 2024 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NeurIPS 2024 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024 A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024 Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) AAAI 2024 A Multimodal Benchmark and Improved Architecture for Zero Shot Learning WACV 2024 A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024 A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation COLING 2024 A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024 A Mutual Information Perspective on Federated Contrastive Learning ICLR 2024 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024 AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies EMNLP 2024 Analysis of Multi-Source Language Training in Cross-Lingual Transfer ACL 2024 Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 Analysis of Privacy Leakage in Federated Large Language Models AISTATS 2024