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)

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning AAAI 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024 CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images CVPR 2024 Commonsense for Zero-Shot Natural Language Video Localization AAAI 2024 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024 Community OSCAR: A Community Effort for Multilingual Web Data EMNLP 2024 Comparing News Framing of Migration Crises using Zero-Shot Classification COLING 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024 Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae AAAI 2024 Compositional Few-Shot Class-Incremental Learning ICML 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Computational Analysis of Dehumanization of Ukrainians on Russian Social Media EACL 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024 ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks CVPR 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition COLING 2024