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

'10

'15

'20

'25

Papers (including subtopics)

Analyzing Offensive Language and Hate Speech in Political Discourse: A Case Study of German Politicians COLING 2024 An Automatic Prompt Generation System for Tabular Data Tasks NAACL 2024 An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models EMNLP 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NeurIPS 2024 An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models CoNLL 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024 An Extensible Framework for Open Heterogeneous Collaborative Perception ICLR 2024 An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching NeurIPS 2024 An improved analysis of per-sample and per-update clipping in federated learning ICLR 2024 An Information-Theoretic Analysis of In-Context Learning ICML 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports COLING 2024 AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators NAACL 2024 Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts COLING 2024 AnnoTheia: A Semi-Automatic Annotation Toolkit for Audio-Visual Speech Technologies COLING 2024 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024 AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024 AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection Interspeech 2024 A Novel Instruction Tuning Method for Vietnamese Mathematical Reasoning using Trainable Open-Source Large Language Models CoNLL 2024 A Novel Three-stage Framework for Few-shot Named Entity Recognition COLING 2024 A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation NAACL 2024 A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NeurIPS 2024